Job Description

We are seeking an experienced AWS Data Engineer with strong expertise in PySpark/Python, Kafka, and AWS DMS/CDC. The ideal candidate should be capable of designing reliable data pipelines while providing technical leadership and mentoring to other engineers.

Key Responsibilities

• Build and maintain data pipelines using AWS Glue, PySpark, and Python.
• Migrate and integrate data from databases using AWS DMS.
• Implement Change Data Capture (CDC) to capture database changes and deliver them to downstream systems.
• Develop and support real-time/streaming data solutions using Kafka.
• Use AWS Lambda for automation and event-driven tasks.
• Work with Aurora PostgreSQL and develop advanced SQL queries.
• Utilize Amazon Redshift for data warehousing.
• Optimize pipelines for performance, reliability, and cost efficiency.
• Troubleshoot and resolve production issues.
• Ensure data is complete, accurate, and delivered on time.
• Conduct code reviews and provide technical guidance to other engineers.
• Collaborate with Tech Leads and Architects to design the overall data architecture.
• Communicate technical decisions effectively to business, analytics, and BI teams.
• Support data preparation for Qlik dashboards and reporting.

Privacy & Consent:
By applying to this role, you consent to Aspirecruit processing your personal information for recruitment purposes in accordance with our Privacy Policy.
Equal Opportunity Employer:
Aspirecruit Inc. is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and do not discriminate based on race, religion, gender, age, disability, or any other protected status.

How to Apply

Please share your resume at Saumya.rawat@aspirecruit.com

Job Categories: Information Technology. Job Types: Contract. Salaries: $80 - $85.

3 total views, 3 today

Apply for this Job

Name *

Email *

Message *

Upload resumé (pdf, doc, docx, zip, txt, rtf)

Upload cover letter (pdf, doc, docx, zip, txt, rtf)

Is fire “hot” or “cold”? *