Role Overview
Linkedin is hiring a AWS Senior Data Engineer - Remote. This is a full-time role in Palakkad. Part of Linkedin's Data Engineering hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Full-time
Remote in India
Required Working hours: 9 AM-5 PM EST Duties & Responsibilities
Collaborate with the Team Lead and cross‑functional teams to gather and refine data requirements for Denials AI solutions.
Design, implement, and optimize ETL/ELT pipelines using Python, Dagster, DBT, and AWS data services (Athena, Glue, SQS).
Develop and maintain data models in PostgreSQL; write efficient SQL for querying and performance tuning.
Monitor pipeline health and performance; troubleshoot data incidents and implement preventive measures.
Enforce data quality and governance standards, including HIPAA compliance for PHI handling.
Conduct code reviews, share best practices, and mentor junior data engineers.
Automate deployment and monitoring tasks using infrastructure-as-code and AWS CloudWatch metrics and alarms.
Document data workflows, schemas, and operational runbooks to support team knowledge transfer.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- 5+ years of hands‑on experience building and operating production‑grade data pipelines.
- Solid experience with workflow orchestration tools (Dagster) and transformation frameworks (DBT) or other similar tools such (Microsoft SSIS, AWS Glue, Air Flow).
- Strong SQL skills on PostgreSQL for data modeling and query optimization or any other similar technologies (Microsoft SQL Server, Oracle, AWS RDS).
- Working knowledge with AWS data services: Athena, Glue, SQS, SNS, IAM, and CloudWatch.
- Basic proficiency in Python and Python data frameworks (Pandas, PySpark).
- Experience with version control (GitHub) and CI/CD for data projects.
- Familiarity with healthcare data standards and HIPAA compliance.
- Excellent problem‑solving skills, attention to detail, and ability to work independently.
- Strong communication skills, with experience mentoring or leading small technical efforts.
Frequently Asked Questions
How do I apply for the AWS Senior Data Engineer - Remote position at Linkedin?
Use the Apply button above to submit your application directly to Linkedin. 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.
Where is the AWS Senior Data Engineer - Remote position at Linkedin located?
This position is based in Palakkad. Linkedin has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a AWS Senior Data Engineer - Remote at Linkedin earn?
Linkedin 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 AWS Senior Data Engineer - Remote role at Linkedin posted?
This role was posted on March 23, 2026 (77 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 AWS Senior Data Engineer - Remote role at Linkedin require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Linkedin lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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