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Python
Scala
Amazon Web Services (AWS)About Moative
Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets.
Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.
Work you’ll do
As a Junior ML/ AI Engineer, you will help design and develop intelligent software to solve business problems. You will collaborate with senior ML engineers, data scientists and domain experts to incorporate ML and AI technologies into existing or new workflows. You’ll analyze new opportunities and ideas. You’ll train and evaluate ML models, conduct experiments, help develop PoCs and prototypes.
Responsibilities
- Designing, training, improving & launching machine learning models using tools such as XGBoost, Tensorflow, PyTorch.
- Contribute directly to the improvement of the way we evaluate and monitor model and system performances.
- Proposing and implementing ideas that directly impact our operational and strategic metrics.
Who you are
You are an engineer who is passionate about using AL/ML to improve processes, products and delight customers. You have experience working with less than clean data, developing and tweaking ML models, and are interested deeply in getting these models into production as cost effectively as possible. You thrive on taking initiatives, are very comfortable with ambiguity and can passionately defend your decisions.
Requirements and skills
- 3+ years of experience in programming languages such as Python, PySpark, or Scala.
- Proficient knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization, DevOps (Docker, Kubernetes),
- Beginner level knowledge of MLOps practices and platforms like MLflow.
- Strong understanding of ML algorithms and frameworks (e.g., TensorFlow, PyTorch).
- Broad understanding of data structures, data engineering, statistical methodologies and machine learning models.
Working at Moative
Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less. Here are some of our guiding principles:
- Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
- Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
- Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
- Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that loud.
- High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.
If this role and our work is of interest to you, please apply here. We encourage you to apply even if you believe you do not meet all the requirements listed above.
That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers.
The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to be present in the city. We intend to move to a hybrid model in a few months time.
Greetings!!!!
We are looking for a data engineer for one of our premium clients for their Chennai and Tirunelveli location
Required Education/Experience
● Bachelor’s degree in computer Science or related field
● 5-7 years’ experience in the following:
● Snowflake, Databricks management,
● Python and AWS Lambda
● Scala and/or Java
● Data integration service, SQL and Extract Transform Load (ELT)
● Azure or AWS for development and deployment
● Jira or similar tool during SDLC
● Experience managing codebase using Code repository in Git/GitHub or Bitbucket
● Experience working with a data warehouse.
● Familiarity with structured and semi-structured data formats including JSON, Avro, ORC, Parquet, or XML
● Exposure to working in an agile work environment
at Altimetrik
Bigdata with cloud:
Experience : 5-10 years
Location : Hyderabad/Chennai
Notice period : 15-20 days Max
1. Expertise in building AWS Data Engineering pipelines with AWS Glue -> Athena -> Quick sight
2. Experience in developing lambda functions with AWS Lambda
3. Expertise with Spark/PySpark – Candidate should be hands on with PySpark code and should be able to do transformations with Spark
4. Should be able to code in Python and Scala.
5. Snowflake experience will be a plus
Skill- Spark and Scala along with Azure
Location - Pan India
Looking for someone Bigdata along with Azure
Scala- 5+ years of experience in a Data Engineering role on cloud environment
- Must have good experience in Scala/PySpark (preferably on data-bricks environment)
- Extensive experience with Transact-SQL.
- Experience in Data-bricks/Spark.
- Strong experience in Dataware house projects
- Expertise in database development projects with ETL processes.
- Manage and maintain data engineering pipelines
- Develop batch processing, streaming and integration solutions
- Experienced in building and operationalizing large-scale enterprise data solutions and applications
- Using one or more of Azure data and analytics services in combination with custom solutions
- Azure Data Lake, Azure SQL DW (Synapse), and SQL Database products or equivalent products from other cloud services providers
- In-depth understanding of data management (e. g. permissions, security, and monitoring).
- Cloud repositories for e.g. Azure GitHub, Git
- Experience in an agile environment (Prefer Azure DevOps).
Good to have
- Manage source data access security
- Automate Azure Data Factory pipelines
- Continuous Integration/Continuous deployment (CICD) pipelines, Source Repositories
- Experience in implementing and maintaining CICD pipelines
- Power BI understanding, Delta Lake house architecture
- Knowledge of software development best practices.
- Excellent analytical and organization skills.
- Effective working in a team as well as working independently.
- Strong written and verbal communication skills.
- Expertise in database development projects and ETL processes.
We are hiring for Tier 1 MNC for the software developer with good knowledge in Spark,Hadoop and Scala
Should have experience in Big Data, Hadoop.
Currently providing WFH.
immediate joiner or 30 days
Data Science
Machine Learning (ML)Amazon Web Services (AWS)Job Location: Chennai
Job Summary
The Engineering team is seeking a Data Architect. As a Data Architect, you will drive a
Data Architecture strategy across various Data Lake platforms. You will help develop
reference architecture and roadmaps to build highly available, scalable and distributed
data platforms using cloud based solutions to process high volume, high velocity and
wide variety of structured and unstructured data. This role is also responsible for driving
innovation, prototyping, and recommending solutions. Above all, you will influence how
users interact with Conde Nast’s industry-leading journalism.
Primary Responsibilities
Data Architect is responsible for
• Demonstrated technology and personal leadership experience in architecting,
designing, and building highly scalable solutions and products.
• Enterprise scale expertise in data management best practices such as data integration,
data security, data warehousing, metadata management and data quality.
• Extensive knowledge and experience in architecting modern data integration
frameworks, highly scalable distributed systems using open source and emerging data
architecture designs/patterns.
• Experience building external cloud (e.g. GCP, AWS) data applications and capabilities is
highly desirable.
• Expert ability to evaluate, prototype and recommend data solutions and vendor
technologies and platforms.
• Proven experience in relational, NoSQL, ELT/ETL technologies and in-memory
databases.
• Experience with DevOps, Continuous Integration and Continuous Delivery technologies
is desirable.
• This role requires 15+ years of data solution architecture, design and development
delivery experience.
• Solid experience in Agile methodologies (Kanban and SCRUM)
Required Skills
• Very Strong Experience in building Large Scale High Performance Data Platforms.
• Passionate about technology and delivering solutions for difficult and intricate
problems. Current on Relational Databases and No sql databases on cloud.
• Proven leadership skills, demonstrated ability to mentor, influence and partner with
cross teams to deliver scalable robust solutions..
• Mastery of relational database, NoSQL, ETL (such as Informatica, Datastage etc) /ELT
and data integration technologies.
• Experience in any one of Object Oriented Programming (Java, Scala, Python) and
Spark.
• Creative view of markets and technologies combined with a passion to create the
future.
• Knowledge on cloud based Distributed/Hybrid data-warehousing solutions and Data
Lake knowledge is mandate.
• Good understanding of emerging technologies and its applications.
• Understanding of code versioning tools such as GitHub, SVN, CVS etc.
• Understanding of Hadoop Architecture and Hive SQL
• Knowledge in any one of the workflow orchestration
• Understanding of Agile framework and delivery
•
Preferred Skills:
● Experience in AWS and EMR would be a plus
● Exposure in Workflow Orchestration like Airflow is a plus
● Exposure in any one of the NoSQL database would be a plus
● Experience in Databricks along with PySpark/Spark SQL would be a plus
● Experience with the Digital Media and Publishing domain would be a
plus
● Understanding of Digital web events, ad streams, context models
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right
move to invest heavily in understanding this data and formed a whole new Data team
entirely dedicated to data processing, engineering, analytics, and visualization. This team
helps drive engagement, fuel process innovation, further content enrichment, and increase
market revenue. The Data team aimed to create a company culture where data was the
common language and facilitate an environment where insights shared in real-time could
improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The
team at Condé Nast Chennai works extensively with data to amplify its brands' digital
capabilities and boost online revenue. We are broadly divided into four groups, Data
Intelligence, Data Engineering, Data Science, and Operations (including Product and
Marketing Ops, Client Services) along with Data Strategy and monetization. The teams built
capabilities and products to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are
Condé Nast, and It Starts Here.
JavaJob Location: Chennai
Job Summary
The Engineering team is seeking a Data Architect. As a Data Architect, you will drive a
Data Architecture strategy across various Data Lake platforms. You will help develop
reference architecture and roadmaps to build highly available, scalable and distributed
data platforms using cloud based solutions to process high volume, high velocity and
wide variety of structured and unstructured data. This role is also responsible for driving
innovation, prototyping, and recommending solutions. Above all, you will influence how
users interact with Conde Nast’s industry-leading journalism.
Primary Responsibilities
Data Architect is responsible for
• Demonstrated technology and personal leadership experience in architecting,
designing, and building highly scalable solutions and products.
• Enterprise scale expertise in data management best practices such as data integration,
data security, data warehousing, metadata management and data quality.
• Extensive knowledge and experience in architecting modern data integration
frameworks, highly scalable distributed systems using open source and emerging data
architecture designs/patterns.
• Experience building external cloud (e.g. GCP, AWS) data applications and capabilities is
highly desirable.
• Expert ability to evaluate, prototype and recommend data solutions and vendor
technologies and platforms.
• Proven experience in relational, NoSQL, ELT/ETL technologies and in-memory
databases.
• Experience with DevOps, Continuous Integration and Continuous Delivery technologies
is desirable.
• This role requires 15+ years of data solution architecture, design and development
delivery experience.
• Solid experience in Agile methodologies (Kanban and SCRUM)
Required Skills
• Very Strong Experience in building Large Scale High Performance Data Platforms.
• Passionate about technology and delivering solutions for difficult and intricate
problems. Current on Relational Databases and No sql databases on cloud.
• Proven leadership skills, demonstrated ability to mentor, influence and partner with
cross teams to deliver scalable robust solutions..
• Mastery of relational database, NoSQL, ETL (such as Informatica, Datastage etc) /ELT
and data integration technologies.
• Experience in any one of Object Oriented Programming (Java, Scala, Python) and
Spark.
• Creative view of markets and technologies combined with a passion to create the
future.
• Knowledge on cloud based Distributed/Hybrid data-warehousing solutions and Data
Lake knowledge is mandate.
• Good understanding of emerging technologies and its applications.
• Understanding of code versioning tools such as GitHub, SVN, CVS etc.
• Understanding of Hadoop Architecture and Hive SQL
• Knowledge in any one of the workflow orchestration
• Understanding of Agile framework and delivery
•
Preferred Skills:
● Experience in AWS and EMR would be a plus
● Exposure in Workflow Orchestration like Airflow is a plus
● Exposure in any one of the NoSQL database would be a plus
● Experience in Databricks along with PySpark/Spark SQL would be a plus
● Experience with the Digital Media and Publishing domain would be a
plus
● Understanding of Digital web events, ad streams, context models
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right
move to invest heavily in understanding this data and formed a whole new Data team
entirely dedicated to data processing, engineering, analytics, and visualization. This team
helps drive engagement, fuel process innovation, further content enrichment, and increase
market revenue. The Data team aimed to create a company culture where data was the
common language and facilitate an environment where insights shared in real-time could
improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The
team at Condé Nast Chennai works extensively with data to amplify its brands' digital
capabilities and boost online revenue. We are broadly divided into four groups, Data
Intelligence, Data Engineering, Data Science, and Operations (including Product and
Marketing Ops, Client Services) along with Data Strategy and monetization. The teams built
capabilities and products to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are
Condé Nast, and It Starts Here.
JavaPythonAs a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.
Top Skills
- You write high quality, maintainable, and robust code, often in Java or C++/C/Python/ROR/C#
- You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
- You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.
Roles & Responsibilities
- You solve problems at their root, stepping back to understand the broader context.
- You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
- You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
- You recognize and use design patterns to solve business problems.
- You understand how operating systems work, perform and scale.
- You continually align your work with Amazon’s business objectives and seek to deliver business value.
- You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
- You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
- You communicate clearly with your team and with other groups and listen effectively.
Skills & Experience
- Bachelors or Masters in Computer Science or relevant technical field.
- Experience in software development and full product life-cycle.
- Excellent programming skills in any object oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
- Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
- Proficiency in SQL and data modeling.
CC++
C#Python
.NETSoftware Development Engineer – SDE 2.
As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.
Top Skills
You write high quality, maintainable, and robust code, often in Java or C++ or C#
You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.
Roles & Responsibilities
You solve problems at their root, stepping back to understand the broader context.
You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
You recognize and use design patterns to solve business problems.
You understand how operating systems work, perform and scale.
You continually align your work with Amazon’s business objectives and seek to deliver business value.
You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
You communicate clearly with your team and with other groups and listen effectively.
Skills & Experience
Bachelors or Masters in Computer Science or relevant technical field.
Experience in software development and full product life-cycle.
Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
Proficiency in SQL and data modeling.
JavaScalaC++Please find below JD and do reply with updated resume if you are interested.
Software Development Engineer
Bengaluru / Hyderabad / Chennai / Delhi
As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.
Top Skills
• You write high quality, maintainable, and robust code, often in Java or C++.
• You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
• You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.
Roles & Responsibilities
• You solve problems at their root, stepping back to understand the broader context.
• You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
• You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
• You recognize and use design patterns to solve business problems.
• You understand how operating systems work, perform and scale.
• You continually align your work with Amazon’s business objectives and seek to deliver business value.
• You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
• You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
• You communicate clearly with your team and with other groups and listen effectively.
Skills & Experience
• Bachelors or Masters in Computer Science or relevant technical field.
• Experience in software development and full product life-cycle.
• Excellent programming skills in any object oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
• Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
• Proficiency in SQL and data modeling.
About Amazon.com
“Many of the problems we face have no textbook solution, and so we-happily-invent new ones.” – Jeff Bezos
Amazon.com – a place where builders can build. We hire the world's brightest minds and offer them an environment in which they can invent and innovate to improve the experience for our customers. A Fortune 100 company based in Seattle, Washington, Amazon is the global leader in e-commerce. Amazon offers everything from books and electronics to apparel and diamond jewelry. We operate sites in Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Netherlands, Spain, United Kingdom and United States, and maintain dozens of fulfillment centers around the world which encompass more than 26 million square feet.
Technological innovation drives the growth of Amazon, offering our customers more selection, convenient shopping, and low prices. Amazon Web Services provides developers and small to large businesses access to the horizontally scalable state of the art cloud infrastructure like S3, EC2, AMI, CloudFront and SimpleDB, that powers Amazon.com. Developers can build any type of business on Amazon Web Services and scale their application with growing business needs.
We want you to help share and shape our mission to be Earth's most customer-centric company. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of invention that is part of our DNA. We do this every day by inventing elegant and simple solutions to complex technical and business problems. We're making history and the good news is that we've only just begun.
About Amazon India
Amazon teams in India work on complex business challenges to innovate and create efficient solutions that enable various Amazon businesses, including Amazon websites across the world as well as support Payments, Transportation, and Digital products and services like the Kindle family of tablets, e-readers and the store. We are proud to have some of the finest talent and strong leaders with proven experience working to make Amazon the Earth’s most customer-centric company.
We made our foray into the Indian market with the launch of Junglee.com, enabling retailers in India to advertise their products to millions of Indian shoppers and drive targeted traffic to their stores. In June 2013, we launched www.amazon.in for shoppers in India. With www.amazon.in, we endeavor to give customers more of what they want – low prices, vast selection, fast and reliable delivery, and a trusted and convenient online shopping experience. In just over a year of launching our India operations, we have expanded our offering to over 18 million products across 36 departments and 100s of categories! Our philosophy of working backwards from the customers is what drives our growth and success.
We will continue to strive to become a trusted and meaningful sales and logistics channel for retailers of all sizes across India and a fast, reliable and convenient online shopping destination for consumers. For us, it is always “Day 1” and we are committed to aggressively invest over the long-term and relentlessly focus on raising the bar for customer experience in India.
Amazon India offers opportunities where you can dive right in, work with smart people on challenging problems and make an impact that contributes to the lives of millions. Join us so you can - Work Hard, Have Fun and Make History.
Thanks and Regards,
Regards,
Archana J
Recruiter (Tech) | Consumer TA
JavaScalaC++Role- Software Development Engineer-2
As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.
Top Skills
You write high quality, maintainable, and robust code, often in Java or C++ or C#
You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.
Roles & Responsibilities
You solve problems at their root, stepping back to understand the broader context.
You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
You recognize and use design patterns to solve business problems.
You understand how operating systems work, perform and scale.
You continually align your work with Amazon’s business objectives and seek to deliver business value.
You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
You communicate clearly with your team and with other groups and listen effectively.
Skills & Experience
Bachelors or Masters in Computer Science or relevant technical field.
Experience in software development and full product life-cycle.
Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
Proficiency in SQL and data modeling.
JavaAmazon Web Services (AWS)Scala- Candidate Should have 5+ Years Of Experience in Core Java
- You will need strong development skills to work on and improve our Scala-based services, and be able to work together with senior teammates to create appropriate architectural design and ensure all aspects are appropriate to meet the business need.
- Excellent Functional Design and Functional Programming skills (more than 2 years of business experience in Scala and Java projects, respectively)
- Core skills in key supporting technologies and/or frameworks such as Play (AKKA) / Lagom
- Proven experience working in teams in the successful delivery of complex, performant and high quality products
- Excellent spoken and written communication skills
- Experience of SaaS (Software as a Service) environments
- Exposure to RESTful web APIs and a service oriented architecture
- Experience in Linux environments, Shell scripting etc
- Working with XML and JSON including parsing, asserting / matching and extracting
- Experience with Continuous Integration environments and build tools, including Terraform, Jenkins, Maven, Gradle and Ant
- Experience with messaging systems such as Apache Kafka, Amazon Kinesis, Amazon SQS and Rabbit MQ
- Experience working on Live platform SDKs such as Twilio, AWS Elemental
American Multinational Retail Corp
ScalaShould have Passion to learn and adapt new technologies, understanding,
solving/troubleshooting issues and risks, able to make informed decisions and ability to
lead the projects.
Your Qualifications
- 2-5 Years’ Experience with functional programming
- Experience with functional programming using Scala with Spark framework.
- Strong understanding of Object-oriented programming, data structures and algorithms
- Good experience in any of the cloud platforms (Azure, AWS, GCP) etc.,
- Experience with distributed (multi-tiered) systems, relational databases and NoSql storage solutions
- Desire to learn new technologies and languages
- Participation in software design, development, and code reviews
- High level of proficiency with Computer Science/Software Engineering knowledge and contribution to the technical skills growth of other team members
Your Responsibility
- Design, build and configure applications to meet business process and application requirements
- Proactively identify and communicate potential issues and concerns and recommend/implement alternative solutions as appropriate.
- Troubleshooting & Optimization of existing solution
Provide advice on technical design to ensure solutions are forward looking and flexible for potential future requirements and business needs.
Responsibilities for Data Engineer
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for Data Engineer
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Develop complex queries, pipelines and software programs to solve analytics and data mining problems
Interact with other data scientists, product managers, and engineers to understand business problems, technical requirements to deliver predictive and smart data solutions
Prototype new applications or data systems
Lead data investigations to troubleshoot data issues that arise along the data pipelines
Collaborate with different product owners to incorporate data science solutions
Maintain and improve data science platform
Must Have
BS/MS/PhD in Computer Science, Electrical Engineering or related disciplines
Strong fundamentals: data structures, algorithms, database
5+ years of software industry experience with 2+ years in analytics, data mining, and/or data warehouse
Fluency with Python
Experience developing web services using REST approaches.
Proficiency with SQL/Unix/Shell
Experience in DevOps (CI/CD, Docker, Kubernetes)
Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multi-task and manage expectations
Preferred
Industry experience with big data processing technologies such as Spark and Kafka
Experience with machine learning algorithms and/or R a plus
Experience in Java/Scala a plus
Experience with any MPP analytics engines like Vertica
Experience with data integration tools like Pentaho/SAP Analytics Cloud
ScalaAs a Scala Developer, you are part of the development of the core applications using the Micro Service paradigm. You will join an Agile team, working closely with our product owner, building and delivering a set of Services as part of our order management and fulfilment platform. We deliver value to our business with every release, meaning that you will immediately be able to contribute and make a positive impact.
Our approach to technology is to use the right tool for the job and, through good software engineering practices such as TDD and CI/CD, to build high-quality solutions that are built with a view to maintenance.
Requirements
The Role:
- Build high-quality applications and HTTP based services.
- Work closely with technical and non-technical colleagues to ensure the services we build meet the needs of the business.
- Support development of a good understanding of business requirements and corresponding technical specifications.
- Actively contribute to planning, estimation and implementation of team work.
- Participate in code review and mentoring processes.
- Identify and plan improvements to our services and systems.
- Monitor and support production services and systems.
- Keep up with industry trends and new tools, technologies & development methods with a view to adopting best practices that fit the team and promote adoption more widely.
Relevant Skills & Experience:
The following skills and experience are relevant to the role and we are looking for someone who can hit the ground running in these areas.
- Web service application development in Scala (essential)
- Functional Programming (essential)
- API development and microservice architecture (essential)
- Patterns for building scalable, performant, distributed systems (essential)
- Databases – we use PostgreSQL (essential)
- Common libraries – we use Play, Cats and Slick (essential)
- Strong communication and collaboration skills (essential)
- Performance profiling and analysis of JVM based applications
- Messaging frameworks and patterns
- Testing frameworks and tools
- Docker, virtualisation and cloud computing – we use AWS and Vmware
- Javascript including common frameworks such as React, Angular, etc
- Linux systems administration
- Configuration tooling such as Puppet and Ansible
- Continuous delivery tools and environments
- Agile software delivery
- Troubleshooting and diagnosing complex production issues
Benefits
- Fun, happy and politics-free work culture built on the principles of lean and self organisation.
- Work with large scale systems powering global businesses.
- Competitive salary and benefits.
Note: We looking for immediate joiners. We expect the offered candidate should join within 15 days. Buyout reimbursement is available for 30 to 60 days notice period applicants who can ready join within 15 days.
To build on our success, we are looking for smart, conscientious software developers who want to work in a friendly, engaging environment and take our platform and products forward. In return, you will have the opportunity to work with the latest technologies, frameworks & methodologies in service development in an environment where we value collaboration and learning opportunities.
JavaScalaC++Job description
We are looking for a passionate Software Development Engineer to develop, test, maintain and document program code in accordance with user requirements and system technical specifications. As a Software Development Engineer, you will work with other Developers and Product Managers throughout the software development life cycle.
Software Development Engineer responsibilities include analysing requirements, define system functionality and writing code in the companys current technology stack. The candidate is expected to be familiar with the software development life cycle (SDLC) process from preliminary system analysis to tests and deployment. Ultimately, the role of the Software Engineer is to build high-quality, innovative and fully performing software that complies with coding standards and technical design. Your goal will be to build efficient programs and systems that serve user needs.
To be qualified for this role, you should hold a minimum of Bachelor’s degree in a relevant field, like Computer Science, IT or Software Engineering. You should be a team player with a keen eye for detailed and problem-solving skills. If you also have experience in SDLC, Agile frameworks and popular coding languages (e.g., Java), strong computer science fundamentals we’d like to meet you.
Years of experience : 2 to 10 years.
Roles & Responsibilities
The overview of this position (based in Chennai, India) includes:
- Develops, enhances, debugs, supports, maintains and tests software applications that support business units or supporting functions. These application program solutions may involve diverse development platforms, software, hardware, technologies and tools.
- Participates in the design, development and implementation of complex applications, often using new technologies.
- Technology professional with experience in designing and managing the implementation of future looking, flexible and reusable, enterprise applications and components.
- Expert in translating business requirements into an application design that includes Data Model, Web Screens, Web Services, and batch processing.
- May provide technical direction and system architecture for individual initiatives.
- Serves as a fully seasoned/proficient technical resource.
- Deploy programs, gather and evaluate user feedback
- Recommend and execute improvements
- Create technical documentation for reference and reporting
- Develop software verification plans and quality assurance procedures
- Document and maintain software functionality
- Ensure software is updated with latest features
- Good interpersonal and technology understanding skills
- Evaluate open-source components and integrate into product pipeline
Skills and Qualifications
- Hands-on experience in analysis, design, coding, and implementation of complex, custom-built applications.
- Strong Java, development skills (JAVA, J2EE, STRUTS, SPRING, Web Services, Eclipse, UI screens, AngularJS, React.JS)
- Excellent debugging skills
- Strong knowledge on databases (MySQL, MSSQL Server and NoSQL databases)
- Understanding of various deployment servers (Apache Tomcat is a must)
- Understanding of OO skills, including strong design patterns knowledge is a must.
- Strong understanding in creating and maintaining web services.
- Understanding of the software development life cycle
- Experience with Implementation and release management activities
- Good understanding of unit/system and functional testing methodology
- Experience working in large transaction-based systems
- Knowledge of software best practices, like Test-Driven Development (TDD) and Continuous Integration (CI)
- Experience documenting technical functions
- Desire to contribute to the wider technical community through collaboration, coaching, and mentoring of other technologists.
- Experience in Linux based systems, development of shell-based scripts.
Job Training
- Training on the coding paradigms, guidelines, frameworks, usage of the applications would be provided by the engineers
- Periodic training sessions would be conducted by the technical architects in terms of technology and skills to be learnt
- Periodic, structured training would be provided on the applications Hours & Environment
- Typical 40 hours of work a week
- Depending on the requirements, work hours may have to be extended during the day, weekend
ScalaWe are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.
Roles and Responsibilities:
- Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
- Develop programs in Scala and Python as part of data cleaning and processing.
- Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.
- Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
- Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
- Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Provide high operational excellence guaranteeing high availability and platform stability.
- Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.
Skills:
- Experience with Big Data pipeline, Big Data analytics, Data warehousing.
- Experience with SQL/No-SQL, schema design and dimensional data modeling.
- Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
- Experience in designing systems that process structured as well as unstructured data at large scale.
- Experience in AWS/Spark/Java/Scala/Python development.
- Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
- Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
- Prior exposure to streaming data sources such as Kafka.
- Should have knowledge on Shell Scripting and Python scripting.
- High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
- Experience with NoSQL databases such as Cassandra / MongoDB.
- Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
- Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
- Experience building and deploying applications on on-premise and cloud-based infrastructure.
- Having a good understanding of machine learning landscape and concepts.
Qualifications and Experience:
Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.
Certifications:
Good to have at least one of the Certifications listed here:
AZ 900 - Azure Fundamentals
DP 200, DP 201, DP 203, AZ 204 - Data Engineering
AZ 400 - Devops Certification
JavaScalaWe are an upcoming profitable social enterprise and as a a part of the team we are looking for a candidate who can work with our team to build better analytics and intellegence into our platform Prabhaav.
We are looking for a Software Developer to build and implement functional programs. You will work with other Developers and https://resources.workable.com/product-manager-job-description">Product Managers throughout the software development life cycle.
In this role, you should be a team player with a keen eye for detail and problem-solving skills. If you also have experience in Agile frameworks and popular coding languages (e.g. JavaScript).
Your goal will be to build efficient programs and systems that serve user needs.
Technical Skills we are looking for are:
- Producing clean, efficient code based on specifications
- Coding Abilities in HTML , PHP , JS , JSP – Server let , JAVA , DevOps(basic Knowledge).
- Additional Skills (preferred) : NodeJS , Python , Angular JS .
- System Administrator Experience : Linux (Ubuntu/RedHat) , Windows CE-Embedded.
- Data Base Experience : MySQL , Posgres , Mongo DB.
- Data Format Experience : JSON , XML , AJAX , JQuery.
- Should have Depth in software Architecture Design especially for Stand-Alone Software As Product , or SaaS Platform Experience.
- Should have Basic Experience/knowledge in Micro-Services , Rest API’s and SOAP methodologies.
- Should have built some backend architecture for Long Standing Applications.
- Good HTML Design Sense.
- Experience with AWS Services like EC2 and LightSail is Preferred.
- Testing and deploying programs and systems
- Fixing and improving existing software
- Good Understanding of OOP’s and Similar Concepts.
- Research on New JS Methodologies like React Js and Angular Js
Experience areas we are looking for:
- Proven experience as a Software Developer, https://resources.workable.com/software-engineer-job-description">Software Engineeror similar role
- Familiarity with Agile development methodologies
- Experience with software design and development in a test-driven environment
- Knowledge of coding languages (e.g. Java, JavaScript) and frameworks/systems (e.g. AngularJS, Git)
- Experience with databases and Object-Relational Mapping (ORM) frameworks (e.g. Hibernate)
- Ability to learn new languages and technologies
- Excellent communication skills
- Resourcefulness and troubleshooting aptitude
- Attention to detail
Role Summary/Purpose:
We are looking for a Developer/Senior Developers to be a part of building advanced analytical platform leveraging Big Data technologies and transform the legacy systems. This role is an exciting, fast-paced, constantly changing and challenging work environment, and will play an important role in resolving and influencing high-level decisions.
Requirements:
- The candidate must be a self-starter, who can work under general guidelines in a fast-spaced environment.
- Overall minimum of 4 to 8 year of software development experience and 2 years in Data Warehousing domain knowledge
- Must have 3 years of hands-on working knowledge on Big Data technologies such as Hadoop, Hive, Hbase, Spark, Kafka, Spark Streaming, SCALA etc…
- Excellent knowledge in SQL & Linux Shell scripting
- Bachelors/Master’s/Engineering Degree from a well-reputed university.
- Strong communication, Interpersonal, Learning and organizing skills matched with the ability to manage stress, Time, and People effectively
- Proven experience in co-ordination of many dependencies and multiple demanding stakeholders in a complex, large-scale deployment environment
- Ability to manage a diverse and challenging stakeholder community
- Diverse knowledge and experience of working on Agile Deliveries and Scrum teams.
Responsibilities
- Should works as a senior developer/individual contributor based on situations
- Should be part of SCRUM discussions and to take requirements
- Adhere to SCRUM timeline and deliver accordingly
- Participate in a team environment for the design, development and implementation
- Should take L3 activities on need basis
- Prepare Unit/SIT/UAT testcase and log the results
- Co-ordinate SIT and UAT Testing. Take feedbacks and provide necessary remediation/recommendation in time.
- Quality delivery and automation should be a top priority
- Co-ordinate change and deployment in time
- Should create healthy harmony within the team
- Owns interaction points with members of core team (e.g.BA team, Testing and business team) and any other relevant stakeholders
Amazon Web Services (AWS)PythonLocation: Chennai- Guindy Industrial Estate
Duration: Full time role
Company: Mobile Programming (https://www.mobileprogramming.com/" target="_blank">https://www.
Client Name: Samsung
We are looking for a Data Engineer to join our growing team of analytics experts. The hire will be
responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing
data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline
builder and data wrangler who enjoy optimizing data systems and building them from the ground up.
The Data Engineer will support our software developers, database architects, data analysts and data
scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout
ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple
teams, systems and products.
Responsibilities for Data Engineer
Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data
from a wide variety of data sources using SQL and AWS big data technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer
acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with
data-related technical issues and support their data infrastructure needs.
Create data tools for analytics and data scientist team members that assist them in building and
optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for Data Engineer
Experience building and optimizing big data ETL pipelines, architectures and data sets.
Advanced working SQL knowledge and experience working with relational databases, query
authoring (SQL) as well as working familiarity with a variety of databases.
Experience performing root cause analysis on internal and external data and processes to
answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and
workload management.
A successful history of manipulating, processing and extracting value from large disconnected
datasets.
Working knowledge of message queuing, stream processing and highly scalable ‘big data’ data
stores.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
We are looking for a candidate with 3-6 years of experience in a Data Engineer role, who has
attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
Experience with big data tools: Spark, Kafka, HBase, Hive etc.
Experience with relational SQL and NoSQL databases
Experience with AWS cloud services: EC2, EMR, RDS, Redshift
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
Skills: Big Data, AWS, Hive, Spark, Python, SQL
HaskellScalaWe are looking for someone who:
- has 1+ years of professional software engineering experience.
- is familiar with the paradigms of functional programming
- is familiar with at least one FP language (Haskell, Scala, OCaml, etc.)
- has the ability to participate in entire product development life-cycle
- is self motivated to learn new technologies
- can play leadership role in terms of coming up with solutions
C++JavaScalaScala
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