[Jobs Roundup] Latest Data Engineering Openings At Top Firms In India

We have listed the latest data engineering openings at top firms in India.

1| Data Engineer at TCS

Location: Bangalore

Responsibilities:

• Design, build and test scalable and highly available Datalake/Data warehouse on Cloud Big Data ETL.
• Experience in any ETL tool - Informatica /Datastage/Abintio.
• Experience in the Hadoop ecosystem (Pyspark , Scala, Spark) and good communication skills.

Apply here.

2| Data Engineer - Gamma at BCG

Location: Bangalore, New Delhi

Responsibilities:

• Delivering original analysis and insights to case teams, typically owning all or part of an analytics module whilst integrating with a case team.
• Establishing credibility by thought partnering with case teams on analytics topics; drawing conclusions on a range of external and internal issues related to your module.
• Communicating analytical insights through sophisticated synthesis and packaging of results (including PPT slides and charts) with consultants; collecting, synthesizing, analysing case team learning & inputs into new best practices and methodologies.

Apply here.

3| Data Engineer at LinkedIn

Location: Bangalore

Responsibilities:

• Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities, optimize product performance or go to market strategy.
• Build data expertise, act like an owner for the company and manage complex data systems for a product or a group of products.
• Designing, integrating and documenting technical components for data flows or applications that perform analysis at a massive scale.

Apply here.

4| Consultant - Data Engineer at Genpact

Location: Gurgaon

Responsibilities:

• The ability to work directly with stakeholders, management, and other developers to design and build solutions.
• To be comfortable with changing priorities and ambiguous requirements in a small-team agile environment.

Apply here.

5| Data Engineer at GE

Location: Bangalore

Responsibilities:

• Explore & leverage AWS cloud native and non native services to build solutions for different functions of data processing life cycle including data ingestion, data transformations, data storage, data publishing, data security, data reporting, data quality, data process monitors, data lineage views etc.
• With cutting edge tech and innovative thinking, build solutions to modernize the current platforms.
• Build world class and enterprise grade applications that cut across challenges like data processing, orchestration, security at scale.

Apply here.

6| Data Engineer at Bosch

Location: Bangalore

Responsibilities:

• Design, build and maintain efficient, reusable, reliable and scalable code and automation for Machine Learning Infrastructure.
• Develop and maintain robust data extraction/ingestion frameworks, feature extraction pipelines and storage solutions.
• Build and maintain CI/CD pipeline for code being developed and constantly work towards improving the release pipeline.

Apply here.

7| Data Engineer at Siemens

Location: Bangalore

Responsibilities:

• Well-versed in relational database design and experience with processing and managing large data sets (multiple TB scale). (e.g. T-SQL, Microsoft SQL, Oracle)
• Data warehousing solutions (e.g Teradata , Snowflake) and understanding of Data Warehousing concepts (Data Modelling, STAR Schema, Snowflake Schema and various Data Warehousing concepts)
• Strong knowledge on Extract Transform & Load concept.

Apply here.

8| Data Engineer at Oracle

Location: Bangalore

Responsibilities: 

• Data modeling and SQL skills.
• Experience with Python, Git and with compiled and scripting programming languages.
• Experience working with RDBMS like Oracle, MySQL, etc.

Apply here.

9| Data Engineer at Barclays

Location: Pune

Responsibilities:

• Working closely with designers, data scientist and understand requirement, build ML component around it, which includes data pipeline, ETL , MRD preparation, invoking ML model through  Pyspark code
• Assemble large, complex data sets that meet functional/non-functional business requirements.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.

Apply here.

10| Data Engineer at PayPal

Location: Chennai

Responsibilities:

• 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 Notebooks.

Apply here.

11| Data Engineer at Ericsson

Location: Gurgaon

Responsibilities:

• Manage data solution roadmap. Design & lead data solution development, data pipelines.
• Develop and test data solution components. Create detailed data solution design, solution interface or integration specifications.
• Produce graphical user interfaces or storyboard specifications.

Apply here.

12| Data Hub - Data Engineer at Mercedes-Benz

Location: Bangalore

Responsibilities:

• Use Exasol DB and additional tools, layers, software to create an Agile data warehouse/data lake.
• Define data structure and data model. Automate data flows and generation.
• Should be comfortable using the best way to script inside or outside of DB for data pull and not just rely on SQL scripts.

Apply here.

13| Data Engineer at HCL

Location: Bangalore

Responsibilities:

• Manage the stack.
• Either GCP or Big data needed, strong engineering mindset to automate tasks.
• Identify use cases & test cases, do deployment, etc. DataFow/AirFlow, DBT tool exp preferred.

Apply here.

14| Data Engineer at IBM

Location: Bangalore

Responsibilities:

• Work with stakeholders including the product owner, data and design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create and maintain optimal data pipeline architecture.
• Identify, design, and implement process improvements aimed at automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Apply here.

15| AWS Data Engineer at Fractal

Location: Mumbai

Responsibilities:

• Create and maintain optimal data pipeline architecture and be an integral part of large scale client business development and delivery engagements.
• Develop the software and systems needed for end-to-end execution on large projects.
• Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions.

Apply here.

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