We have listed the latest Data Engineering Jobs from Top Companies in India.

1 | Data Engineer at TCS

Location: Bangalore

Responsibilities:

• Design, build and test a 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:

• Provide original analyzes and information to case teams, generally possessing all or part of an analysis module while integrating into a case team.
• Establish credibility by working in partnership with case teams on analytical topics; draw conclusions about a range of external and internal issues related to your module.
• Communicate analytical ideas through sophisticated synthesis and packaging of results (including slides and PPT charts) with consultants; collect, synthesize, analyze the learning of the case team and the contributions to new best practices and methodologies.

Apply here.

3 | Data Engineer at LinkedIn

Location: Bangalore

Responsibilities:

• Work with a team of high-performing analysts, data science professionals, and cross-functional teams to identify business opportunities, optimize product performance, or implement market strategy.
• Develop data expertise, act as an owner for the business, and manage complex data systems for a product or group of products.
• Design, integrate and document technical components for data flows or applications that perform large-scale analysis.

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 create solutions.
• Comfortable with changing priorities and ambiguous demands in a small team agile environment.

Apply here.

5 | Data Engineer at GE

Location: Bangalore

Responsibilities:

• Explore and leverage native and non-native AWS cloud services to build solutions for different functions of the data processing lifecycle, 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 technology and innovative thinking, create solutions to modernize current platforms.
• Build world-class, enterprise-class applications that tackle challenges like large-scale data processing, orchestration, and security.

Apply here.

6 | Data Engineer at Bosch

Location: Bangalore

Responsibilities:

• Design, build, and maintain efficient, reusable, reliable, and scalable code and automation for the machine learning infrastructure.
• Develop and maintain robust data extraction / ingestion frameworks, feature extraction pipelines and storage solutions.
• Build and maintain a CI / CD pipeline for code under development and constantly work on improving the release pipeline.

Apply here.

7 | Data Engineer at Siemens

Location: Bangalore

Responsibilities:

• Good knowledge of relational database design and experience in processing and managing large data sets (multiTB scale). (eg T-SQL, Microsoft SQL, Oracle)
• Data warehousing solutions (e.g. Teradata, Snowflake) and understanding of data warehousing concepts (data modeling, STAR schema, Snowflake schema and various data warehousing concepts)
• Strong knowledge of the Extract Transform & Load concept.

Apply here.

8 | Data Engineer at Oracle

Location: Bangalore

Responsibilities:

• Skills in data modeling and SQL.
• 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:

• Work closely with designers, data scientist and understand requirements, create ML component around it, which includes data pipeline, ETL, MRD prep, invoke ML model through Pyspark code
• Assemble large and complex data sets that meet functional / non-functional business requirements.
• Create processes that support data transformation, data structures, metadata, dependencies, and workload management.

Apply here.

10 | Data Engineer at PayPal

Location: Chennai

Responsibilities:

• Assemble large and complex data sets that meet functional / non-functional business requirements.
• Identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal data extraction, transformation, and loading from a wide variety of data sources using SQL and Notebooks.

Apply here.

11 | Data Engineer at Ericsson

Location: Gurgaon

Responsibilities:

• Manage the data solution roadmap. Design and lead the development of data solutions, data pipelines.
• Develop and test the components of the data solution. Create a 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 and software to create an Agile data warehouse / data lake.
• Define the data structure and the data model. Automate data flows and generation.
• Must be comfortable using the best way to script inside or outside the database for data extraction and not rely solely on SQL scripts.

Apply here.

13 | Data Engineer at HCL

Location: Bangalore

Responsibilities:

• Manage the stack.
• GCP or Big Data is needed, a strong engineering mind to automate tasks.
• Identify use cases and test cases, perform deployment, etc. DataFow / AirFlow, DBT exp preferred tool.

Apply here.

14 | Data Engineer at IBM

Location: Bangalore

Responsibilities:

• Work with stakeholders including the product owner, data and design teams to help resolve technical data issues and meet their data infrastructure needs.
• Create and maintain an optimal data pipeline architecture.
• Identify, design and implement process improvements aimed at automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc.

Apply here.

15 | AWS Data Engineer at Fractal

Location: Bombay

Responsibilities:

• Create and maintain an optimal data pipeline architecture and be an integral part of customers’ large-scale development and delivery commitments.
• Develop the software and systems necessary for end-to-end execution on large projects.
• Work on all phases of the SDLC and use software engineering principles to create solutions at scale.

Apply here.

A subsidiary of Analytics India Magazine, AIM Recruits is an India-focused executive search firm that partners with leading companies to assess and acquire top data science talent to drive breakthrough performance. AIM Recruits is a leading executive search firm for analytics, data science, and artificial intelligence.

Join our Telegram group. Be part of an engaging online community. Join here.

Subscribe to our newsletter

Receive the latest updates and relevant offers by sharing your email.