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Senior Data Engineer

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Onsite

Senior Data Engineer

NextHire Talent Solutions

Senior Data Engineer

Skills

SQL QueriesData EngineeringData ScienceAWS LambdaSnowflakeAmazon RedshiftGitData AnalysisAWSGitHubCompliance

10 days ago

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Important information


Contract type:

Permanent

Location:

Karnataka, India

Work mode:

Onsite

Published on:

10 October 2026

What they need


Job Title- Senior Data Engineer

Job Type- Full‑time | Hybrid

Job Summary

We are seeking experienced Senior Data Engineers - (AWS) to design and maintain scalable data pipelines and cloud‑native data warehouses. The ideal candidate will have strong expertise in AWS services, SQL, ETL/ELT, and data modelling, with proven experience in building robust data architectures for advanced analytics and compliance.

Key Responsibilities

  • Create and maintain optimal ETL/ELT data pipeline architecture for structured datasets.
  • Assemble large, complex data sets and design multi‑dimensional models (Star Schema, Snowflake Schema).
  • Build scalable data warehouses including Fact and Dimensional tables using AWS Redshift and other cloud tools.
  • Automate ingestion, streaming, scheduling, and monitoring using AWS Lambda, Glue, S3, Redshift, and Code Pipeline.
  • Collaborate with stakeholders to integrate data into internal marts for advanced reporting.
  • Optimize big‑data pipelines, including compression into PARQUET and SQL performance tuning.
  • Utilize GitHub for version control, collaboration, and CI/CD practices.
  • Ensure data privacy and GDPR compliance when handling customer data.
  • Perform root‑cause analysis and maintain data quality across structured and unstructured datasets.
  • Support analytics and data science teams with reliable data tools.

Candidate Requirements

  • 4+ years of hands‑on data engineering experience, with at least 2+ years in AWS cloud data warehouses/services.
  • Advanced SQL knowledge with relational databases and AWS Redshift.
  • Strong experience in data modelling (Star Schema, Snowflake Schema, OLAP).
  • Hands‑on expertise in ETL/ELT pipeline architecture.
  • Experience with AWS services (Lambda, Glue, S3, Redshift, Code Pipeline) for automation.
  • Proven ability to build and optimize big‑data pipelines, including PARQUET compression.
  • Proficiency with GitHub for version control and CI/CD.
  • Strong analytical skills and experience with root‑cause analysis.
  • Familiarity with message queuing, stream processing, and scalable big‑data stores.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • Immediate joiners or candidates serving notice period preferred.

How to Apply

Interested candidates should apply directly on Indeed with their updated resume.

Pay: From ₹1,100,000.00 per year

Work Location: In person

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