Hadoop Jobs in Pune
good exposure to concepts and/or technology across the broader spectrum. Enterprise Risk Technology
covers a variety of existing systems and green-field projects.
A Full stack Hadoop development experience with Scala development
A Full stack Java development experience covering Core Java (including JDK 1.8) and good understanding
of design patterns.
Requirements:-
• Strong hands-on development in Java technologies.
• Strong hands-on development in Hadoop technologies like Spark, Scala and experience on Avro.
• Participation in product feature design and documentation
• Requirement break-up, ownership and implantation.
• Product BAU deliveries and Level 3 production defects fixes.
Qualifications & Experience
• Degree holder in numerate subject
• Hands on Experience on Hadoop, Spark, Scala, Impala, Avro and messaging like Kafka
• Experience across a core compiled language – Java
• Proficiency in Java related frameworks like Springs, Hibernate, JPA
• Hands on experience in JDK 1.8 and strong skillset covering Collections, Multithreading with
For internal use only
For internal use only
experience working on Distributed applications.
• Strong hands-on development track record with end-to-end development cycle involvement
• Good exposure to computational concepts
• Good communication and interpersonal skills
• Working knowledge of risk and derivatives pricing (optional)
• Proficiency in SQL (PL/SQL), data modelling.
• Understanding of Hadoop architecture and Scala program language is a good to have.
Roles and Responsibilities
-
We are looking for a savvy Data Engineering professional to join the newly formed Data Engineering team
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We are looking for Big Data specialists who have proven skills on working large-scale data systems
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The hire will be responsible for building and optimizing data pipeline architectures, as well as optimizing data flow and collection for multiple source systems
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The ideal candidate should be an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up
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Have got the strong ability to build robust and resilient data pipelines which are fault-tolerant and reliable in terms of data movement
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Should have experience in batch and stream data processing
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Create end-to-end data products and productionise them in cloud/in-house servers
Technical Skills
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Minimum 3-8 years of progressive experience building solutions in Big Data environments
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Should have solid hands-on experience with Big Data technologies like Hadoop, HBase, Hive, Pig, Oozie, MapReduce, Yarn, HDFS, Zookeeper, and Apache Kafka.
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Hands-on experience on Apache Spark, with Java/Scala for batch and stream processing, will be highly preferred
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Minimum 6 months of hands-on experience in Apache Kafka.
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Hands-on solid capabilities in SQL and NoSQL technologies
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Should be able to build performant, fault-tolerant, scalable solutions
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Excellent written and verbal communication skills
Job responsibilities
- You will partner with teammates to create complex data processing pipelines in order to solve our clients' most complex challenges
- You will pair to write clean and iterative code based on TDD
- Leverage various continuous delivery practices to deploy, support and operate data pipelines
- Advise and educate clients on how to use different distributed storage and computing technologies from the plethora of options available
- Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
- Create data models and speak to the tradeoffs of different modeling approaches
- Seamlessly incorporate data quality into your day-to-day work as well as into the delivery process
- Encouraging open communication and advocating for shared outcomes
Technical skills
- You have a good understanding of data modelling and experience with data engineering tools and platforms such as Spark (Scala) and Hadoop
- You have built large-scale data pipelines and data-centric applications using any of the distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting
- Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributions
- You are comfortable taking data-driven approaches and applying data security strategy to solve business problems
- Working with data excites you: you can build and operate data pipelines, and maintain data storage, all within distributed systems
- You're genuinely excited about data infrastructure and operations with a familiarity working in cloud environments
Professional skills
- You're resilient and flexible in ambiguous situations and enjoy solving problems from technical and business perspectives
- An interest in coaching, sharing your experience and knowledge with teammates
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed
- Presence in the external tech community: you willingly share your expertise with others via speaking engagements, contributions to open source, blogs and more
XpressBees – a logistics company started in 2015 – is amongst the fastest growing
companies of its sector. While we started off rather humbly in the space of
ecommerce B2C logistics, the last 5 years have seen us steadily progress towards
expanding our presence. Our vision to evolve into a strong full-service logistics
organization reflects itself in our new lines of business like 3PL, B2B Xpress and cross
border operations. Our strong domain expertise and constant focus on meaningful
innovation have helped us rapidly evolve as the most trusted logistics partner of
India. We have progressively carved our way towards best-in-class technology
platforms, an extensive network reach, and a seamless last mile management
system. While on this aggressive growth path, we seek to become the one-stop-shop
for end-to-end logistics solutions. Our big focus areas for the very near future
include strengthening our presence as service providers of choice and leveraging the
power of technology to improve efficiencies for our clients.
Job Profile
As a Lead Data Engineer in the Data Platform Team at XpressBees, you will build the data platform
and infrastructure to support high quality and agile decision-making in our supply chain and logistics
workflows.
You will define the way we collect and operationalize data (structured / unstructured), and
build production pipelines for our machine learning models, and (RT, NRT, Batch) reporting &
dashboarding requirements. As a Senior Data Engineer in the XB Data Platform Team, you will use
your experience with modern cloud and data frameworks to build products (with storage and serving
systems)
that drive optimisation and resilience in the supply chain via data visibility, intelligent decision making,
insights, anomaly detection and prediction.
What You Will Do
• Design and develop data platform and data pipelines for reporting, dashboarding and
machine learning models. These pipelines would productionize machine learning models
and integrate with agent review tools.
• Meet the data completeness, correction and freshness requirements.
• Evaluate and identify the data store and data streaming technology choices.
• Lead the design of the logical model and implement the physical model to support
business needs. Come up with logical and physical database design across platforms (MPP,
MR, Hive/PIG) which are optimal physical designs for different use cases (structured/semi
structured). Envision & implement the optimal data modelling, physical design,
performance optimization technique/approach required for the problem.
• Support your colleagues by reviewing code and designs.
• Diagnose and solve issues in our existing data pipelines and envision and build their
successors.
Qualifications & Experience relevant for the role
• A bachelor's degree in Computer Science or related field with 6 to 9 years of technology
experience.
• Knowledge of Relational and NoSQL data stores, stream processing and micro-batching to
make technology & design choices.
• Strong experience in System Integration, Application Development, ETL, Data-Platform
projects. Talented across technologies used in the enterprise space.
• Software development experience using:
• Expertise in relational and dimensional modelling
• Exposure across all the SDLC process
• Experience in cloud architecture (AWS)
• Proven track record in keeping existing technical skills and developing new ones, so that
you can make strong contributions to deep architecture discussions around systems and
applications in the cloud ( AWS).
• Characteristics of a forward thinker and self-starter that flourishes with new challenges
and adapts quickly to learning new knowledge
• Ability to work with a cross functional teams of consulting professionals across multiple
projects.
• Knack for helping an organization to understand application architectures and integration
approaches, to architect advanced cloud-based solutions, and to help launch the build-out
of those systems
• Passion for educating, training, designing, and building end-to-end systems.
Technical/Core skills
- Minimum 3 yrs of exp in Informatica Big data Developer(BDM) in Hadoop environment.
- Have knowledge of informatica Power exchange (PWX).
- Minimum 3 yrs of exp in big data querying tool like Hive and Impala.
- Ability to designing/development of complex mappings using informatica Big data Developer.
- Create and manage Informatica power exchange and CDC real time implementation
- Strong Unix knowledge skills for writing shell scripts and troubleshoot of existing scripts.
- Good knowledge of big data platforms and its framework.
- Good to have an experience in cloudera data platform (CDP)
- Experience with building stream processing systems using Kafka and spark
- Excellent SQL knowledge
Soft skills :
- Ability to work independently
- Strong analytical and problem solving skills
- Attitude of learning new technology
- Regular interaction with vendors, partners and stakeholders
Hi,
Enterprise Minds is looking for Data Architect for Pune Location.
Req Skills:
Python,Pyspark,Hadoop,Java,Scala
We are hiring for Tier 1 MNC for the software developer with good knowledge in Spark,Hadoop and Scala
• Project Planning and Management
o Take end-to-end ownership of multiple projects / project tracks
o Create and maintain project plans and other related documentation for project
objectives, scope, schedule and delivery milestones
o Lead and participate across all the phases of software engineering, right from
requirements gathering to GO LIVE
o Lead internal team meetings on solution architecture, effort estimation, manpower
planning and resource (software/hardware/licensing) planning
o Manage RIDA (Risks, Impediments, Dependencies, Assumptions) for projects by
developing effective mitigation plans
• Team Management
o Act as the Scrum Master
o Conduct SCRUM ceremonies like Sprint Planning, Daily Standup, Sprint Retrospective
o Set clear objectives for the project and roles/responsibilities for each team member
o Train and mentor the team on their job responsibilities and SCRUM principles
o Make the team accountable for their tasks and help the team in achieving them
o Identify the requirements and come up with a plan for Skill Development for all team
members
• Communication
o Be the Single Point of Contact for the client in terms of day-to-day communication
o Periodically communicate project status to all the stakeholders (internal/external)
• Process Management and Improvement
o Create and document processes across all disciplines of software engineering
o Identify gaps and continuously improve processes within the team
o Encourage team members to contribute towards process improvement
o Develop a culture of quality and efficiency within the team
Must have:
• Minimum 08 years of experience (hands-on as well as leadership) in software / data engineering
across multiple job functions like Business Analysis, Development, Solutioning, QA, DevOps and
Project Management
• Hands-on as well as leadership experience in Big Data Engineering projects
• Experience developing or managing cloud solutions using Azure or other cloud provider
• Demonstrable knowledge on Hadoop, Hive, Spark, NoSQL DBs, SQL, Data Warehousing, ETL/ELT,
DevOps tools
• Strong project management and communication skills
• Strong analytical and problem-solving skills
• Strong systems level critical thinking skills
• Strong collaboration and influencing skills
Good to have:
• Knowledge on PySpark, Azure Data Factory, Azure Data Lake Storage, Synapse Dedicated SQL
Pool, Databricks, PowerBI, Machine Learning, Cloud Infrastructure
• Background in BFSI with focus on core banking
• Willingness to travel
Work Environment
• Customer Office (Mumbai) / Remote Work
Education
• UG: B. Tech - Computers / B. E. – Computers / BCA / B.Sc. Computer Science
Team: Technology
Company Profile
InFoCusp is a company working in the broad field of Computer Science, Software Engineering, and Artificial Intelligence (AI). It is headquartered in Ahmedabad, India, having a branch office in Pune.
We have worked on / are working on Software Engineering projects that touch upon making full-fledged products. Starting from UI/UX aspects, responsive and blazing fast front-ends, platform specific applications (Android, iOS, web-applications, desktop applications), very large scale infrastructure, cutting edge machine learning, deep learning (AI in general). The projects / products have wide ranging applications in finance, healthcare, e-commerce, legal, HR/recruiting, pharmaceutical, leisure sports and computer gaming domains. All of this is using core concepts of computer science such as distributed systems, operating systems, computer networks, process parallelism, cloud computing, embedded systems and Internet of Things.
PRIMARY RESPONSIBILITIES:
● Own the design, development, evaluation and deployment of highly-scalable software products involving front-end and back-end development.
● Maintain quality, responsiveness and stability of the system.
● Design and develop memory-efficient, compute-optimized solutions for the software.
● Design and administer automated testing tools and continuous integration tools.
● Produce comprehensive and usable software documentation.
● Evaluate and make decisions on the use of new tools and technologies.
● Mentor other development engineers.
KNOWLEDGE AND SKILL REQUIREMENTS:
● Mastery of one or more back-end programming languages (Python, Java, C++ etc.)
● Proficiency in front-end programming paradigms and libraries (for example : HTML, CSS and advanced JavaScript libraries and frameworks such as Angular, Knockout, React).
● Knowledge of automated and continuous integration testing tools (Jenkins, Team City, Circle CI etc.)
● Proven experience of platform-level development for large-scale systems.
● Deep understanding of various database systems (MySQL, Mongo, Cassandra).
● Ability to plan and design software system architecture.
● Development experience for mobile, browsers and desktop systems is desired.
● Knowledge and experience of using distributed systems (Hadoop, Spark) and cloud environments (Amazon EC2, Google Compute Engine, Microsoft Azure).
● Experience working in agile development. Knowledge and prior experience of tools like Jira is desired.
● Experience with version control systems (Git, Subversion or Mercurial).
EDUCATION:
- B.E.\B. Tech\B.S. M.E.\M.S.\M. Tech\PhD candidates' entries with significant prior experience in the aforementioned fields will be considered.
Data Engineers develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. You might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On other projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. It could also be a software delivery project where you're equally happy coding and tech-leading the team to implement the solution.
You’ll spend time on the following:
- You will partner with teammates to create complex data processing pipelines in order to solve our clients’ most ambitious challenges
- You will collaborate with Data Scientists in order to design scalable implementations of their models
- You will pair to write clean and iterative code based on TDD
- Leverage various continuous delivery practices to deploy data pipelines
- Advise and educate clients on how to use different distributed storage and computing technologies from the plethora of options available
- Develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
- Create data models and speak to the tradeoffs of different modeling approaches
Here’s what we’re looking for:
- You have a good understanding of data modelling and experience with data engineering tools and platforms such as Kafka, Spark, and Hadoop
- You have built large-scale data pipelines and data-centric applications using any of the distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting
- Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributions
- You are comfortable taking data-driven approaches and applying data security strategy to solve business problems
- Working with data excites you: you can build and operate data pipelines, and maintain data storage, all within distributed systems
- Strong communication and client-facing skills with the ability to work in a consulting environment
Location: Bangalore/Pune/Hyderabad/Nagpur
4-5 years of overall experience in software development.
- Experience on Hadoop (Apache/Cloudera/Hortonworks) and/or other Map Reduce Platforms
- Experience on Hive, Pig, Sqoop, Flume and/or Mahout
- Experience on NO-SQL – HBase, Cassandra, MongoDB
- Hands on experience with Spark development, Knowledge of Storm, Kafka, Scala
- Good knowledge of Java
- Good background of Configuration Management/Ticketing systems like Maven/Ant/JIRA etc.
- Knowledge around any Data Integration and/or EDW tools is plus
- Good to have knowledge of using Python/Perl/Shell
Please note - Hbase hive and spark are must.
Key Responsibilities : ( Data Developer Python, Spark)
Exp : 2 to 9 Yrs
Development of data platforms, integration frameworks, processes, and code.
Develop and deliver APIs in Python or Scala for Business Intelligence applications build using a range of web languages
Develop comprehensive automated tests for features via end-to-end integration tests, performance tests, acceptance tests and unit tests.
Elaborate stories in a collaborative agile environment (SCRUM or Kanban)
Familiarity with cloud platforms like GCP, AWS or Azure.
Experience with large data volumes.
Familiarity with writing rest-based services.
Experience with distributed processing and systems
Experience with Hadoop / Spark toolsets
Experience with relational database management systems (RDBMS)
Experience with Data Flow development
Knowledge of Agile and associated development techniques including:
n
- Design, implement and support an analytical data infrastructure, providing ad hoc access to large data sets and computing power.
- Contribute to development of standards and the design and implementation of proactive processes to collect and report data and statistics on assigned systems.
- Research opportunities for data acquisition and new uses for existing data.
- Provide technical development expertise for designing, coding, testing, debugging, documenting and supporting data solutions.
- Experience building data pipelines to connect analytics stacks, client data visualization tools and external data sources.
- Experience with cloud and distributed systems principles
- Experience with Azure/AWS/GCP cloud infrastructure
- Experience with Databricks Clusters and Configuration
- Experience with Python, R, sh/bash and JVM-based languages including Scala and Java.
- Experience with Hadoop family languages including Pig and Hive.
- 6+ years of recent hands-on Java development
- Developing data pipelines in AWS or Google Cloud
- Java, Python, JavaScript programming languages
- Great understanding of designing for performance, scalability, and reliability of data intensive application
- Hadoop MapReduce, Spark, Pig. Understanding of database fundamentals and advanced SQL knowledge.
- In-depth understanding of object oriented programming concepts and design patterns
- Ability to communicate clearly to technical and non-technical audiences, verbally and in writing
- Understanding of full software development life cycle, agile development and continuous integration
- Experience in Agile methodologies including Scrum and Kanban
As a Senior Engineer - Big Data Analytics, you will help the architectural design and development for Healthcare Platforms, Products, Services, and Tools to deliver the vision of the Company. You will significantly contribute to engineering, technology, and platform architecture. This will be done through innovation and collaboration with engineering teams and related business functions. This is a critical, highly visible role within the company that has the potential to drive significant business impact.
The scope of this role will include strong technical contribution in the development and delivery of Big Data Analytics Cloud Platform, Products and Services in collaboration with execution and strategic partners.
Responsibilities:
- Design & develop, operate, and drive scalable, resilient, and cloud native Big Data Analytics platform to address the business requirements
- Help drive technology transformation to achieve business transformation, through the creation of the Healthcare Analytics Data Cloud that will help Change establish a leadership position in healthcare data & analytics in the industry
- Help in successful implementation of Analytics as a Service
- Ensure Platforms and Services meet SLA requirements
- Be a significant contributor and partner in the development and execution of the Enterprise Technology Strategy
Qualifications:
- At least 2 years of experience software development for big data analytics, and cloud. At least 5 years of experience in software development
- Experience working with High Performance Distributed Computing Systems in public and private cloud environments
- Understands big data open-source eco-systems and its players. Contribution to open source is a strong plus
- Experience with Spark, Spark Streaming, Hadoop, AWS/Azure, NoSQL Databases, In-Memory caches, distributed computing, Kafka, OLAP stores, etc.
- Have successful track record of creating working Big Data stack that aligned with business needs, and delivered timely enterprise class products
- Experience with delivering and managing scale of Operating Environment
- Experience with Big Data/Micro Service based Systems, SaaS, PaaS, and Architectures
- Experience Developing Systems in Java, Python, Unix
- BSCS, BSEE or equivalent, MSCS preferred
Job Description for :
Role: Data/Integration Architect
Experience – 8-10 Years
Notice Period: Under 30 days
Key Responsibilities: Designing, Developing frameworks for batch and real time jobs on Talend. Leading migration of these jobs from Mulesoft to Talend, maintaining best practices for the team, conducting code reviews and demos.
Core Skillsets:
Talend Data Fabric - Application, API Integration, Data Integration. Knowledge on Talend Management Cloud, deployment and scheduling of jobs using TMC or Autosys.
Programming Languages - Python/Java
Databases: SQL Server, Other Databases, Hadoop
Should have worked on Agile
Sound communication skills
Should be open to learning new technologies based on business needs on the job
Additional Skills:
Awareness of other data/integration platforms like Mulesoft, Camel
Awareness Hadoop, Snowflake, S3
We are looking for a skilled Senior/Lead Bigdata Engineer to join our team. The role is part of the research and development team, where you with enthusiasm and knowledge are going to be our technical evangelist for the development of our inspection technology and products.
At Elop we are developing product lines for sustainable infrastructure management using our own patented technology for ultrasound scanners and combine this with other sources to see holistic overview of the concrete structure. At Elop we will provide you with world-class colleagues highly motivated to position the company as an international standard of structural health monitoring. With the right character you will be professionally challenged and developed.
This position requires travel to Norway.
Elop is sister company of Simplifai and co-located together in all geographic locations.
Roles and Responsibilities
- Define technical scope and objectives through research and participation in requirements gathering and definition of processes
- Ingest and Process data from data sources (Elop Scanner) in raw format into Big Data ecosystem
- Realtime data feed processing using Big Data ecosystem
- Design, review, implement and optimize data transformation processes in Big Data ecosystem
- Test and prototype new data integration/processing tools, techniques and methodologies
- Conversion of MATLAB code into Python/C/C++.
- Participate in overall test planning for the application integrations, functional areas and projects.
- Work with cross functional teams in an Agile/Scrum environment to ensure a quality product is delivered.
Desired Candidate Profile
- Bachelor's degree in Statistics, Computer or equivalent
- 7+ years of experience in Big Data ecosystem, especially Spark, Kafka, Hadoop, HBase.
- 7+ years of hands-on experience in Python/Scala is a must.
- Experience in architecting the big data application is needed.
- Excellent analytical and problem solving skills
- Strong understanding of data analytics and data visualization, and must be able to help development team with visualization of data.
- Experience with signal processing is plus.
- Experience in working on client server architecture is plus.
- Knowledge about database technologies like RDBMS, Graph DB, Document DB, Apache Cassandra, OpenTSDB
- Good communication skills, written and oral, in English
We can Offer
- An everyday life with exciting and challenging tasks with the development of socially beneficial solutions
- Be a part of companys research and Development team to create unique and innovative products
- Colleagues with world-class expertise, and an organization that has ambitions and is highly motivated to position the company as an international player in maintenance support and monitoring of critical infrastructure!
- Good working environment with skilled and committed colleagues an organization with short decision paths.
- Professional challenges and development
Advanced degree in computer science, math, statistics or a related discipline ( Must have master degree )
Extensive data modeling and data architecture skills
Programming experience in Python, R
Background in machine learning frameworks such as TensorFlow or Keras
Knowledge of Hadoop or another distributed computing systems
Experience working in an Agile environment
Advanced math skills (Linear algebra
Discrete math
Differential equations (ODEs and numerical)
Theory of statistics 1
Numerical analysis 1 (numerical linear algebra) and 2 (quadrature)
Abstract algebra
Number theory
Real analysis
Complex analysis
Intermediate analysis (point set topology)) ( important )
Strong written and verbal communications
Hands on experience on NLP and NLG
Experience in advanced statistical techniques and concepts. ( GLM/regression, Random forest, boosting, trees, text mining ) and experience with application.
Job description
Role : Lead Architecture (Spark, Scala, Big Data/Hadoop, Java)
Primary Location : India-Pune, Hyderabad
Experience : 7 - 12 Years
Management Level: 7
Joining Time: Immediate Joiners are preferred
- Attend requirements gathering workshops, estimation discussions, design meetings and status review meetings
- Experience of Solution Design and Solution Architecture for the data engineer model to build and implement Big Data Projects on-premises and on cloud.
- Align architecture with business requirements and stabilizing the developed solution
- Ability to build prototypes to demonstrate the technical feasibility of your vision
- Professional experience facilitating and leading solution design, architecture and delivery planning activities for data intensive and high throughput platforms and applications
- To be able to benchmark systems, analyses system bottlenecks and propose solutions to eliminate them
- Able to help programmers and project managers in the design, planning and governance of implementing projects of any kind.
- Develop, construct, test and maintain architectures and run Sprints for development and rollout of functionalities
- Data Analysis, Code development experience, ideally in Big Data Spark, Hive, Hadoop, Java, Python, PySpark,
- Execute projects of various types i.e. Design, development, Implementation and migration of functional analytics Models/Business logic across architecture approaches
- Work closely with Business Analysts to understand the core business problems and deliver efficient IT solutions of the product
- Deployment sophisticated analytics program of code using any of cloud application.
Perks and Benefits we Provide!
- Working with Highly Technical and Passionate, mission-driven people
- Subsidized Meals & Snacks
- Flexible Schedule
- Approachable leadership
- Access to various learning tools and programs
- Pet Friendly
- Certification Reimbursement Policy
- Check out more about us on our website below!
www.datametica.com
Summary
Our Kafka developer has a combination of technical skills, communication skills and business knowledge. The developer should be able to work on multiple medium to large projects. The successful candidate will have excellent technical skills of Apache/Confluent Kafka, Enterprise Data WareHouse preferable GCP BigQuery or any equivalent Cloud EDW and also will be able to take oral and written business requirements and develop efficient code to meet set deliverables.
Must Have Skills
- Participate in the development, enhancement and maintenance of data applications both as an individual contributor and as a lead.
- Leading in the identification, isolation, resolution and communication of problems within the production environment.
- Leading developer and applying technical skills Apache/Confluent Kafka (Preferred) AWS Kinesis (Optional), Cloud Enterprise Data Warehouse Google BigQuery (Preferred) or AWS RedShift or SnowFlakes (Optional)
- Design recommending best approach suited for data movement from different sources to Cloud EDW using Apache/Confluent Kafka
- Performs independent functional and technical analysis for major projects supporting several corporate initiatives.
- Communicate and Work with IT partners and user community with various levels from Sr Management to detailed developer to business SME for project definition .
- Works on multiple platforms and multiple projects concurrently.
- Performs code and unit testing for complex scope modules, and projects
- Provide expertise and hands on experience working on Kafka connect using schema registry in a very high volume environment (~900 Million messages)
- Provide expertise in Kafka brokers, zookeepers, KSQL, KStream and Kafka Control center.
- Provide expertise and hands on experience working on AvroConverters, JsonConverters, and StringConverters.
- Provide expertise and hands on experience working on Kafka connectors such as MQ connectors, Elastic Search connectors, JDBC connectors, File stream connector, JMS source connectors, Tasks, Workers, converters, Transforms.
- Provide expertise and hands on experience on custom connectors using the Kafka core concepts and API.
- Working knowledge on Kafka Rest proxy.
- Ensure optimum performance, high availability and stability of solutions.
- Create topics, setup redundancy cluster, deploy monitoring tools, alerts and has good knowledge of best practices.
- Create stubs for producers, consumers and consumer groups for helping onboard applications from different languages/platforms. Leverage Hadoop ecosystem knowledge to design, and develop capabilities to deliver our solutions using Spark, Scala, Python, Hive, Kafka and other things in the Hadoop ecosystem.
- Use automation tools like provisioning using Jenkins, Udeploy or relevant technologies
- Ability to perform data related benchmarking, performance analysis and tuning.
- Strong skills in In-memory applications, Database Design, Data Integration.
Ideal candidates should have technical experience in migrations and the ability to help customers get value from Datametica's tools and accelerators.
Job Description
Experience : 7+ years
Location : Pune / Hyderabad
Skills :
- Drive and participate in requirements gathering workshops, estimation discussions, design meetings and status review meetings
- Participate and contribute in Solution Design and Solution Architecture for implementing Big Data Projects on-premise and on cloud
- Technical Hands on experience in design, coding, development and managing Large Hadoop implementation
- Proficient in SQL, Hive, PIG, Spark SQL, Shell Scripting, Kafka, Flume, Scoop with large Big Data and Data Warehousing projects with either Java, Python or Scala based Hadoop programming background
- Proficient with various development methodologies like waterfall, agile/scrum and iterative
- Good Interpersonal skills and excellent communication skills for US and UK based clients
About Us!
A global Leader in the Data Warehouse Migration and Modernization to the Cloud, we empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.
We have expertise in transforming legacy Teradata, Oracle, Hadoop, Netezza, Vertica, Greenplum along with ETLs like Informatica, Datastage, AbInitio & others, to cloud-based data warehousing with other capabilities in data engineering, advanced analytics solutions, data management, data lake and cloud optimization.
Datametica is a key partner of the major cloud service providers - Google, Microsoft, Amazon, Snowflake.
We have our own products!
Eagle – Data warehouse Assessment & Migration Planning Product
Raven – Automated Workload Conversion Product
Pelican - Automated Data Validation Product, which helps automate and accelerate data migration to the cloud.
Why join us!
Datametica is a place to innovate, bring new ideas to live and learn new things. We believe in building a culture of innovation, growth and belonging. Our people and their dedication over these years are the key factors in achieving our success.
Benefits we Provide!
Working with Highly Technical and Passionate, mission-driven people
Subsidized Meals & Snacks
Flexible Schedule
Approachable leadership
Access to various learning tools and programs
Pet Friendly
Certification Reimbursement Policy
Check out more about us on our website below!
www.datametica.com
- Core Java: advanced level competency, should have worked on projects with core Java development.
- Linux shell : advanced level competency, work experience with Linux shell scripting, knowledge and experience to use important shell commands
- Rdbms, SQL: advanced level competency, Should have expertise in SQL query language syntax, should be well versed with aggregations, joins of SQL query language.
- Data structures and problem solving: should have ability to use appropriate data structure.
- AWS cloud : Good to have experience with aws serverless toolset along with aws infra
- Data Engineering ecosystem : Good to have experience and knowledge of data engineering, ETL, data warehouse (any toolset)
- Hadoop, HDFS, YARN : Should have introduction to internal working of these toolsets
- HIVE, MapReduce, Spark: Good to have experience developing transformations using hive queries, MapReduce job implementation and Spark Job Implementation. Spark implementation in Scala will be plus point.
- Airflow, Oozie, Sqoop, Zookeeper, Kafka: Good to have knowledge about purpose and working of these technology toolsets. Working experience will be a plus point here.
Datametica is looking for talented SQL engineers who would get training & the opportunity to work on Cloud and Big Data Analytics.
Mandatory Skills:
- Strong in SQL development
- Hands-on at least one scripting language - preferably shell scripting
- Development experience in Data warehouse projects
Opportunities:
- Selected candidates will be provided training opportunities on one or more of the following: Google Cloud, AWS, DevOps Tools, Big Data technologies like Hadoop, Pig, Hive, Spark, Sqoop, Flume, and KafkaWould get a chance to be part of the enterprise-grade implementation of Cloud and Big Data systems
- Will play an active role in setting up the Modern data platform based on Cloud and Big Data
- Would be part of teams with rich experience in various aspects of distributed systems and computing
ears of Exp: 3-6+ Years
Skills: Scala, Python, Hive, Airflow, SparkLanguages: Java, Python, Shell Scripting
GCP: BigTable, DataProc, BigQuery, GCS, Pubsub
OR
AWS: Athena, Glue, EMR, S3, RedshiftMongoDB, MySQL, Kafka
Platforms: Cloudera / Hortonworks
AdTech domain experience is a plus.
Job Type - Full Time
Location: Pune/Nagpur,Goa,Hyderabad/
Job Requirements:
- 9 years and above of total experience preferably in bigdata space.
- Creating spark applications using Scala to process data.
- Experience in scheduling and troubleshooting/debugging Spark jobs in steps.
- Experience in spark job performance tuning and optimizations.
- Should have experience in processing data using Kafka/Pyhton.
- Individual should have experience and understanding in configuring Kafka topics to optimize the performance.
- Should be proficient in writing SQL queries to process data in Data Warehouse.
- Hands on experience in working with Linux commands to troubleshoot/debug issues and creating shell scripts to automate tasks.
- Experience on AWS services like EMR.
candidate should have atleast 4 year experience
well known in full stack developer
location is in bangalore and pune
Relevant skills like java angular springboot react
Job Description:
- Working knowledge and hands-on experience of Big Data / Hadoop tools and technologies.
- Experience of working in Pig, Hive, Flume, Sqoop, Kafka etc.
- Database development experience with a solid understanding of core database concepts, relational database design, ODS & DWH.
- Expert level knowledge of SQL and scripting preferably UNIX shell scripting, Perl scripting.
- Working knowledge of Data integration solution and well-versed with any ETL tool (Informatica / Datastage / Abinitio/Pentaho etc).
- Strong problem solving and logical reasoning ability.
- Excellent understanding of all aspects of the Software Development Lifecycle.
- Excellent written and verbal communication skills.
- Experience in Java will be an added advantage
- Knowledge of object oriented programming concepts
- Exposure to ISMS policies and procedures.
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
Mid / Senior Big Data Engineer
Job Description:
Role: Big Data EngineerNumber of open positions: 5Location: PuneAt Clairvoyant, we're building a thriving big data practice to help enterprises enable and accelerate the adoption of Big data and cloud services. In the big data space, we lead and serve as innovators, troubleshooters, and enablers. Big data practice at Clairvoyant, focuses on solving our customer's business problems by delivering products designed with best in class engineering practices and a commitment to keep the total cost of ownership to a minimum.
Must Have:
- 4-10 years of experience in software development.
- At least 2 years of relevant work experience on large scale Data applications.
- Strong coding experience in Java is mandatory
- Good aptitude, strong problem solving abilities, and analytical skills, ability to take ownership as appropriate
- Should be able to do coding, debugging, performance tuning and deploying the apps to Prod.
- Should have good working experience on
- o Hadoop ecosystem (HDFS, Hive, Yarn, File formats like Avro/Parquet)
- o Kafka
- o J2EE Frameworks (Spring/Hibernate/REST)
- o Spark Streaming or any other streaming technology.
- Strong coding experience in Java is mandatory
- Ability to work on the sprint stories to completion along with Unit test case coverage.
- Experience working in Agile Methodology
- Excellent communication and coordination skills
- Knowledgeable (and preferred hands on) - UNIX environments, different continuous integration tools.
- Must be able to integrate quickly into the team and work independently towards team goals
- Take the complete responsibility of the sprint stories' execution
- Be accountable for the delivery of the tasks in the defined timelines with good quality.
- Follow the processes for project execution and delivery.
- Follow agile methodology
- Work with the team lead closely and contribute to the smooth delivery of the project.
- Understand/define the architecture and discuss the pros-cons of the same with the team
- Involve in the brainstorming sessions and suggest improvements in the architecture/design.
- Work with other team leads to get the architecture/design reviewed.
- Work with the clients and counter-parts (in US) of the project.
- Keep all the stakeholders updated about the project/task status/risks/issues if there are any.
Experience: 4 to 9 years
Keywords: java, scala, spark, software development, hadoop, hive
Locations: Pune
- You will be responsible for design, development and testing of Products
- Contributing in all phases of the development lifecycle
- Writing well designed, testable, efficient code
- Ensure designs are in compliance with specifications
- Prepare and produce releases of software components
- Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review
- Some of the technologies you will be working on: Core Java, Solr, Hadoop, Spark, Elastic search, Clustering, Text Mining, NLP, Mahout and Lucene etc.
This will include:
Scorecards
Strategies
MIS
The verticals included are:
Risk
Marketing
Product