DK89_Senior AWS Data Engineer

Hi,

Hope you are doing great today. Kindly let me know if you would be interested in below role. If interested kindly share below details and send it back to me with your updated resume

Job Description:

Role: Senior AWS Data Engineer

Location: Rayadurgam, Hyderabad
Job Type: Full-Time
Experience: 10+ Years

If Interested Kindly share your resumes to [email removed]

Job Summary: We are looking for an experienced AWS Data Engineer with strong expertise in AWS data services, Lakehouse architecture, data governance, and data pipeline development. The ideal candidate should have hands-on experience building scalable data solutions, implementing data quality checks, anomaly detection, and orchestrating workflows using Apache Airflow.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines using AWS services.
• Build and manage AWS Glue jobs for data ingestion, transformation, and processing.
• Implement Medallion Architecture (Bronze, Silver, and Gold layers) and Lakehouse solutions.
• Develop data quality checks (DQs), anomaly detection, and data validation processes.
• Manage data governance and access controls using AWS Lake Formation.
• Develop serverless applications using AWS Lambda with Python.
• Implement event-driven data processing using AWS EventBridge, Kinesis, and Firehose.
• Create and manage Apache Airflow DAGs for workflow orchestration.
• Design time-series and event-based data models.
• Work with analytics engines such as Amazon Athena and Amazon Redshift.
• Integrate third-party systems and data sources into AWS data platforms.
• Explore and integrate AWS Bedrock for AI-powered data solutions.

Required Skills:

• 10+ years of experience in data engineering and data pipeline development.
• Strong hands-on experience with AWS Glue, AWS Lake Formation, Lambda, and EventBridge.
• Good knowledge of Medallion Architecture and Lakehouse Architecture.
• Experience with data quality frameworks, anomaly detection, and data governance.
• Strong Python programming skills.
• Experience with Apache Airflow and DAG development.
• Hands-on experience with Amazon Kinesis, Firehose, Athena, and Redshift.
• Understanding of time-series and event-driven data models.
• Experience with third-party integrations and AWS Bedrock is preferred.

If Interested Kindly share below details and send it back to me with your updated resume to [email removed]

Full Name

Phone

Email

LinkedIn

Nationality

Current Location:

Current CTC:

Expected CTC:

Notice Period:

Last Working Day:

Face to Face Interview

Are you willing to work Onsite in Hyderabad?

Availability to join:

Total IT Experience:

AWS Experience:

AWS Bedrock Experience:

AWS Glue Experience:

AWS Lake Formation Experience:

Lambda Experience:

EventBridge Experience:

Third Party Integration Experience:

Availability for a quick technical video call today or Tomorrow:

Thanks and regards,

Deepak Kannoji | Senior Talent Acquisition Specialist

WhatsApp / Phone: [phone removed] | Email: [email removed]

Wall Street Consulting Services LLC

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