Sr.Data Engineer
Delhi, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- Experience Minimum 2 years of experience with AWS in development or operations role
Qualification wording
Experience Minimum 2 years of experience with AWS in development or operations role
Tools in this posting
- SQL
- AWS
- Spark
- Python
- Hadoop
Source — Tool mentions in context
- Design and build secure, scalable data repositories to store the data, optimizing for cost, compression, scalability, and integration with data processing tools - Architect pipelines for data processing and transformation using ETL/ELT, SQL, Apache Spark, and other tools to handle high volume and high-velocity data - Design server-less systems for ad-hoc data analysis
- Concepts of big data. - Hadoop SQL and relational databases. - Data warehousing concepts
- Data warehousing concepts - Experience Minimum 2 years of experience with AWS in development or operations role - AWS Solutions Architect Associate certification is mandatory AWS Data Analytics Specialty certification is preferred
- Experience Minimum 2 years of experience with AWS in development or operations role - AWS Solutions Architect Associate certification is mandatory AWS Data Analytics Specialty certification is preferred Benefits
Requirements - Python programming. - Concepts of big data.
Job description
As a Sr. Data Engineer, you’ll design, build, optimize and operate systems on cloud to collect, store, process, package and visualize data to extract insights and make it useable for advanced analytics and machine learning. You’ll design data pipelines for batch and streaming data, use big data tools and techniques for processing large amounts of data, and create purpose-built solutions for working with structured, semi-structured, and unstructured data to support analytics and machine learning workloads.
- Identify data sources, data formats, and design for data ingestion using batch and real-time techniques
- Design and build secure, scalable data repositories to store the data, optimizing for cost, compression, scalability, and integration with data processing tools
- Architect pipelines for data processing and transformation using ETL/ELT, SQL, Apache Spark, and other tools to handle high volume and high-velocity data
- Design server-less systems for ad-hoc data analysis
- Use visualization tools on processed data to create meaningful charts, and dashboards based on user-defined metrics
Requirements
- Python programming.
- Concepts of big data.
- Hadoop SQL and relational databases.
- Data warehousing concepts
- Experience Minimum 2 years of experience with AWS in development or operations role
- AWS Solutions Architect Associate certification is mandatory AWS Data Analytics Specialty certification is preferred
Benefits
We do not unfairly discriminate on any ground, including race, caste, religion, color, ancestry, marital status, gender, sexual orientation, age, nationality, ethnic origin, disability or any other category protected by applicable law.
Competitive Salary
Better Growth
Work Life Balance
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Delhi, India
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- Work authorization
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- Status in our records
- Active
- First seen by us
- Jun 3, 2026
- Recorded sightings
- 152
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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