Senior Data Engineer – AWS

Senior Data Engineer – AWS

Location: Bengaluru
Work Mode: Hybrid – 4 Days Office
Experience: 4–8 Years
Employment Type: Full-Time

About the Role

We are hiring a Senior Data Engineer with strong hands-on expertise in AWS, Redshift, SQL, ETL/ELT and Data Warehouse Design.

You will be responsible for developing scalable data pipelines, cloud data warehouses and analytics-ready datasets while working with cross-functional and global IT teams.

Responsibilities

• Create and maintain ETL/ELT data pipeline architecture.
• Build large-scale cloud data warehouses.
• Develop Fact and Dimension tables.
• Design Star Schema and Snowflake Schema models.
• Implement data ingestion, streaming, scheduling and job-monitoring workflows.
• Work with AWS Lambda, Glue, S3, Redshift and CodePipeline.
• Optimise large datasets and data pipelines.
• Work with PARQUET and SQL performance tuning.
• Build data tools supporting analytics and data science teams.
• Support data-related technical issues and infrastructure needs.
• Maintain data quality, consistency and privacy.
• Collaborate with stakeholders and Global IT teams.

Mandatory Qualifications

• 4+ years Data Engineering experience.
• 2+ recent years of AWS Data Engineering experience.
• Advanced SQL.
• Hands-on AWS Redshift.
• Strong Data Warehouse architecture experience.
• Fact/Dimension modelling.
• Star Schema and Snowflake Schema.
• ETL/ELT pipeline development.
• AWS Lambda, Glue, S3, Redshift and CodePipeline.
• Big Data pipeline optimisation.
• PARQUET and SQL performance tuning.
• GitHub and CI/CD.
• Root-cause analysis and strong analytical skills.
• Cross-functional/global stakeholder management.
• GDPR/data privacy awareness.
• Message queuing and stream-processing knowledge.
• Bachelor's/Master's in Technology or Computer Science.

Preferred

Healthcare, Pharmaceutical or Life Sciences industry experience.

Immediate joiners preferred.

If serving notice, the candidate must be available to join on or before 18 September.

Candidates should also be available for an in-office Bengaluru interview on 19 September, if required.

Hybrid flexibility: WFH up to 6 days/month.

CTC: Inclusive of 20% variable.

Interview Process

Technical Round → Technical Round → Final Discussion

Only candidates matching the AWS Data Engineering requirements and joining timeline should apply.

Pay: ₹1,100,000.00 - ₹1,800,000.00 per year

Work Location: In person