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About UPS:

Moving our world forward by delivering what matters! UPS is a company with a proud past and an even brighter future. Our values define us. Our culture differentiates us. Our strategy drives us. At UPS we are customer first, people led and innovation driven. UPS’s India based Technology Development Centers will bring UPS one step closer to creating a global technology workforce that will help accelerate our digital journey and help us engineer technology solutions that drastically improve our competitive advantage in the field of Logistics.

‘Future You’ grows as a visible and valued Technology professional with UPS, driving us towards an exciting tomorrow. As a global Technology organization we can put serious resources behind your development. If you are solutions orientated, UPS Technology is the place for you. ‘Future You’ delivers ground-breaking solutions to some of the biggest logistics challenges around the globe. You’ll take technology to unimaginable places and really make a difference for UPS and our customers.

Job Summary:

This position participates in the support of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science practices for Marketing and Finance business units. This position supports the integration of data from various data sources, as well as performs extract, transform, load (ETL) data conversions, and facilitates data cleansing and enrichment. This position performs full systems life cycle management activities, such as analysis, technical requirements, design, coding, testing, implementation of systems and applications software. This position participates and contributes to synthesizing disparate data sources to support reusable and reproducible data assets.

RESPONSIBILITIES

• Supervises and supports data engineering projects and builds solutions by leveraging a strong foundational knowledge in software/application development. He/she is hands on.

• Develops and delivers data engineering documentation.

• Gathers requirements, defines the scope, and performs the integration of data for data engineering projects.

• Recommends analytic reporting products/tools and supports the adoption of emerging technology.

• Performs data engineering maintenance and support.

• Provides the implementation strategy and executes backup, recovery, and technology solutions to perform analysis.

• Performs ETL tool capabilities with the ability to pull data from various sources and perform a load of the transformed data into a database or business intelligence platform.

• Codes using programming language used for statistical analysis and modeling such as Python/Spark

REQUIRED QUALIFICATIONS:

• Literate in the programming languages used for statistical modeling and analysis, data warehousing and Cloud solutions, and building data pipelines.

• Proficient in developing notebooks in Data bricks using Python and Spark and Spark SQL.

• Strong understanding of a cloud services platform (e.g., GCP, or AZURE, or AWS) and all the data life cycle stages. Azure is preferred

• Proficient in using Azure Data Factory and other Azure features such as LogicApps.

• Preferred to have knowledge of Delta lake, Lakehouse and Unity Catalog concepts.

• Strong understanding of cloud-based data lake systems and data warehousing solutions.

• Has used AGILE concepts for development, including KANBAN and Scrums

• Strong understanding of the data interconnections between organizations’ operational and business functions.

• Strong understanding of the data life cycle stages - data collection, transformation, analysis, storing the data securely, providing data accessibility

• Strong understanding of the data environment to ensure that it can scale for the following demands: Throughput of data, increasing data pipeline throughput, analyzing large amounts of data, Real-time predictions, insights and customer feedback, data security, data regulations, and compliance.

• Strong knowledge of algorithms and data structures, as well as data filtering and data optimization.

• Strong understanding of analytic reporting technologies and environments (e.g., Power BI, Looker, Qlik, etc.)

• Understanding of distributed systems and the underlying business problem being addressed, as well as guides team members on how their work will assist by performing data analysis and presenting findings to the stakeholders. •

REQUIRED SKILLS:

 3 years of experience with Databricks, Apache Spark, Python, and SQL

Preferred SKILLS:

 DeltaLake Unity Catalog, R, Scala, Azure Logic Apps, Cloud Services Platform (e.g., GCP, or AZURE, or AWS), and AGILE concepts.

About Us

Sahaj Software is an artisanal software engineering firm built on the values of trust, respect, curiosity, and craftsmanship, and delivering purpose-built solutions to drive data-led transformation for organisations. Our emphasis is on craft as we create purpose-built solutions, leveraging Data Engineering, Platform Engineering and Data Science with a razor-sharp focus to solve complex business and technology challenges and provide customers with a competitive edge

About The Role

As a Data Engineer, you’ll feel at home if you are hands-on, grounded, opinionated and passionate about delivering comprehensive data solutions that align with modern data architecture approaches. Your work will range from building a full data platform to building data pipelines or helping with data architecture and strategy. This role is ideal for those looking to have a large impact and huge scope for growth, while still being hands-on with technology. We aim to allow growth without becoming “post-technical”.

Responsibilities

• Collaborate with Data Scientists and Engineers to deliver production-quality AI and Machine Learning systems
• Build frameworks and supporting tooling for data ingestion from a complex variety of sources
• Consult with our clients on data strategy, modernising their data infrastructure, architecture and technology
• Model their data for increased visibility and performance
• You will be given ownership of your work, and are encouraged to propose alternatives and make a case for doing things differently; our clients trust us and we manage ourselves.
• You will work in short sprints to deliver working software
• You will be working with other data engineers in Sahaj and work on building Data Engineering capability across the organisation

You can read more about what we do and how we think here: https://sahaj.ai/client-stories/

Skills you’ll need

• Demonstrated experience as a Senior Data Engineer in complex enterprise environments
• Deep understanding of technology fundamentals and experience with languages like Python, or functional programming languages like Scala
• Demonstrated experience in the design and development of big data applications using tech stacks like Databricks, Apache Spark, HDFS, HBase and Snowflake
• Commendable skills in building data products, by integrating large sets of data from hundreds of internal and external sources would be highly critical
• A nuanced understanding of code quality, maintainability and practices like Test Driven Development
• Ability to deliver an application end to end; having an opinion on how your code should be built, packaged and deployed using CI/CD
• Understanding of Cloud platforms, DevOps, GitOps, and Containers

What will you experience as a culture at Sahaj?

At Sahaj, people's collective stands for a shared purpose where everyone owns the dreams, ideas, ideologies, successes, and failures of the organisation - a synergy that is rooted in the ethos of honesty, respect, trust, and equitability. At Sahaj, you will experience

• Creativity
• Ownership
• Curiosity
• Craftsmanship
• A culture of trust, respect and transparency
• Opportunity to collaborate with some of the finest minds in the industry
• Work across multiple domains

What are the benefits of being at Sahaj?

•  Unlimited leaves
•  Life Insurance & Private Health insurance paid by Sahaj
• Stock options
• No hierarchy
• Open Salaries 

About the role

As a full-stack engineer, you’ll feel at home if you are hands-on, grounded, opinionated and passionate about building things using technology. Our tech stack ranges widely with language ecosystems like Typescript, Java, Scala, Golang, Kotlin, Elixir, Python, .Net, Nodejs and even Rust.

This role is ideal for those looking to have a large impact and a huge scope for growth while still being hands-on with technology. We aim to allow growth without becoming “post-technical”. We are extremely selective with our consultants and are able to run our teams with fewer levels of management. You won’t find a BA or iteration manager here! We work in small pizza teams of 2-5 people where a well-founded argument holds more weight than the years of experience. You will have the opportunity to work with clients across domains like retail, banking, publishing, education, ad tech and more where you will take ownership of developing software solutions that are purpose-built to solve our clients’ unique business and technical needs.

Responsibilities

• Produce high-quality code that allows us to put solutions into production.
• Utilize DevOps tools and practices to build and deploy software.
• Collaborate with Data Scientists and Engineers to deliver production-quality AI and Machine Learning systems.
• Build frameworks and supporting tooling for data ingestion from a complex variety of sources. Work in short sprints to deliver working software with clear deliverables and client-led deadlines.
• Willingness to be a polyglot developer and learn multiple technologies.

Skills you’ll need

• A maker’s mindset. To be resourceful and have the ability to do things that have no instructions.
• Extensive experience (at least 10 years) as a Software Engineer.
• Deep understanding of programming fundamentals and expertise with at least one programming language (functional or object-oriented).
• A nuanced and rich understanding of code quality, maintainability and practices like Test Driven Development.
• Experience with one or more source control and build toolchains.
• Working knowledge of CI/CD will be an added advantage.
• Understanding of web APIs, contracts and communication protocols.
• Understanding of Cloud platforms, infra-automation/DevOps, IaC/GitOps/Containers, design and development of large data platforms.

What will you experience in terms of culture at Sahaj?

• A culture of trust, respect and transparency
• Opportunity to collaborate with some of the finest minds in the industry
• Work across multiple domains

What are the benefits of being at Sahaj?

• Unlimited leaves
• Life Insurance & Private Health insurance paid by Sahaj
• Stock options
• No hierarchy
• Open Salaries

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

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

• 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.

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++/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.

Software 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.

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.

• 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

Should 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

• 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.

• 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.

As 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. 

We 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

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

• 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