Role Overview
GrowthArc is hiring a Senior AWS Data Engineer. This is a full-time hybrid role, based in Srikakulam. Part of GrowthArc's Security hiring, posted 3 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Job Description
Total Exp: 8+yrs\nLocation: Bangalore (Hybrid) / Remote : Rest of India\nJoining Preference: Immediate to 15 days joiners\nIf interested, Share your CV at:\n\nAbout the Role We are hiring Senior Data Engineers to lead large-scale AWS migration and data platform initiatives. This is a senior individual contributor role focused on migrating legacy file storage and SQL Server databases into AWS-native environments while ensuring data integrity, scalability, and operational reliability.\nYou will drive architecture decisions, build migration and reporting pipelines, and define data quality and cutover strategies in a Kubernetes and AWS-based ecosystem.\nKey ResponsibilitiesData Migration Lead migration of:\nNAS/NFS/SMB file storage to Amazon S3\nSQL Server databases to Aurora PostgreSQL / RDS\nHandle large-scale file migrations (100+ GB files)\nDesign incremental sync, reconciliation, checksum validation, rollback, and cutover strategies\nBuild multi-hop data flows between S3, Kubernetes processing clusters, and analytics platforms\nData Engineering & Reporting Design and build AWS-based ETL/ELT pipelines\nDevelop ingestion, transformation, and reporting workflows\nEnable analytics using Redshift, Athena, and Aurora\nOptimize pipeline performance, scalability, and cost\nData Quality & Reliability Build validation, reconciliation, and quarantine frameworks\nImplement monitoring, retry, and escalation workflows\nSupport DR testing, performance tuning, and migration validation\nInfrastructure & CI/CD Work within Terraform-managed AWS environments\nContribute to GitLab CI/CD pipelines\nSupport security and compliance initiatives across IAM, KMS, encryption, and secrets management\nRequired Skills 8+ years of Data Engineering experience\nStrong experience with:\nNAS/NFS/SMB → S3 migrations\nSQL Server → Aurora/PostgreSQL migrations\nStrong Python and SQL expertise\nHands-on experience with:\nboto3\nSQLAlchemy\nETL scripting\nStrong AWS knowledge:\nS3\nAurora/RDS\nIAM\nKMS\nCloudWatch\nECS/EKS\nExperience with Docker, Kubernetes, GitLab CI/CD, and Terraform\nAbility to independently drive technical and architectural decisions\nPreferred Skills Spark, Airflow, or Kubernetes-based data pipelines\nExposure to Go or Java microservices\nPytest, Playwright, or K6 testing frameworks\nBlue/green cutover and rollback planning experience\nExperience supporting ML/data science workloads
Frequently Asked Questions
How do I apply for the Senior AWS Data Engineer position at GrowthArc?
Use the Apply button above to submit your application directly to GrowthArc. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the Senior AWS Data Engineer role at GrowthArc remote or in-office?
This is a hybrid role based in Srikakulam. Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.
What does a Senior AWS Data Engineer at GrowthArc earn?
GrowthArc has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior AWS Data Engineer role at GrowthArc posted?
This role was posted on June 5, 2026 (3 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior AWS Data Engineer role at GrowthArc require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. GrowthArc lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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