BENGALURU · FULLTIME
Data Engineer - AWS (Engineer / Senior / Lead)

Impelsys
Bengaluru · onsite · Posted 2d ago
Sourced from
Undisclosed10–15 yrsfulltimeBengaluru
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Section · 01
About this role
About Us
We are growing our Data & AI practice, which delivers cloud data platforms, data modernisation and migration, analytics and AI-enabled engineering for global enterprise clients. You will work in cross-functional teams on long-term engagements, using modern cloud technologies and AI-assisted engineering practices. Location: Offshore (India) Full-time.
Role Summary Builds, tests and runs data pipelines and data platforms end to end on AWS - from ingestion to business-ready data - including migration of legacy data workloads. One JD covering three levels.
Experience Level Total experience Relevant experience (must) Data Engineer 4-7 years 3+ years Spark / SQL pipelines; 2+ years on AWS Senior Data Engineer 7-10 years 5+ years data engineering; 3+ years on AWS Lead Data Engineer 10+ years 6+ years data engineering; 4+ years on AWS; 2+ years leading a team Roles & Responsibilities - Build ingestion, transformation and data-quality pipelines (batch and incremental)
- Model and manage data in layered lakehouse / warehouse architectures
- Develop with dbt, PySpark and SQL; orchestrate with Apache Airflow
- Migrate and refactor legacy SQL, workflows and scripts to modern tools, using AI-assisted conversion
- Configure data platform components on client environments; deploy through CI/CD
- Tune performance and cost; support parallel runs and go-lives
- Senior / Lead: set coding standards, review code, plan work, mentor engineers
- Python, PySpark, advanced SQL
- dbt and Apache Airflow
- AWS: S3, Glue, Athena, EMR; Redshift a plus
- Data modelling and upsert / deduplication patterns
- Git and CI/CD practices
- Data-quality testing
- Apache Iceberg / Delta / Hudi
- Customer data platforms (CDP) or marketing data
- Legacy workflow / ETL tools and SQL dialects (Presto, Hive)
- Streaming (Kafka, Kinesis)
- AI coding assistants (Claude Code, GitHub Copilot, Amazon Q Developer)
Clear communication with remote client stakeholders across time zones; Comfortable using AI coding and productivity tools, and reviewing AI-generated work critically; Agile ways of working; ownership and accountability. Certifications: AWS Certified Data Engineer - Associate (preferred).
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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
data qualityAgileApacheamazon web servicesSenior LeadAnalyticscodingworkflowPythonSQL
Section · Company
About Impelsys

Impelsys
IT Services & Consulting
960
employees
2001
25 years old
Bangalore/Bengaluru, Karnataka
India
₹11.1L PA avg
Avg at Impelsys
About
Impelsys is a leading provider of innovative technology solutions that empower organizations across the globe become digital-first, data driven intelligent enterprises. Our services include Data and Analytics, Cloud, AI/ML Platforms and Products, End-to-End Quality Assurance (QA), Custom Application Development, and Learning Solutions. Our diverse portfolio of solutions spans across enterprise business applications, digital publishing, professional development, point of care solutions, continuing education, marketplace applications, retail & ecommerce, analytics & business intelligence among others. We complement our solutions repertoire with services spanning QA, data analytics and management, cloud services, application support, digital marketing, eLearning, and content services.With more than 23 years of experience, 1100+ experts, and 2500+ tailormade solutions developed for nearly 300 customers worldwide, Impelsys impacts over 50 million people each month and has a global footprint with operations in the US, EU, and India.
Industries
IT Services & ConsultingInternet
Employee ratings
10 reviews
3.3/ 5
Culture
2.7
Career growth
2.5
Work-life
3.0
Employees rate it well for
Work-Life Balance34Overall Company33
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