Job Description

ValueMomentum

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Job Locations: Hyderabad | Pune | Coimbatore

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Experience: 4–12 Years

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Work Mode: Work From Office – 5 Days

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About the Role

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ValueMomentum is looking for experienced AWS Data Engineers to design, develop, and maintain scalable cloud-native data engineering solutions on AWS. You will build high-performance ETL/ELT pipelines and contemporary data platforms supporting enterprise analytics, reporting, and business intelligence initiatives. You will work closely with architects, business stakeholders, and cross-functional teams to deliver secure, scalable, and reliable data solutions for global insurance clients.

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Key Skills AWS Data Engineering: AWS Glue, Amazon S3, Amazon Redshift, AWS Lambda

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Data Engineering: ETL/ELT, Scalable Data Pipelines, Data Warehousing

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Programming: PySpark, Python

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Cloud/Data Platform: Snowflake

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Key Responsibilities

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Design, develop, and maintain scalable AWS data pipelines.
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Build ETL/ELT solutions using AWS Glue, S3, Redshift, and Lambda.
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Develop data processing and transformation solutions using PySpark/Python.
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Work with Snowflake for data warehousing and analytics.
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Ensure data quality, reliability, security, and performance.
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Optimize data pipelines and troubleshoot production issues.
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Collaborate with architects, business stakeholders, and cross-functional teams.
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Contribute to modern cloud-native data platforms and enterprise analytics solutions.
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Required Skills

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4–12 years of hands-on Data Engineering experience.
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Strong expertise in AWS Glue, S3, Redshift, and Lambda.
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Robust programming skills in Python/PySpark.
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Hands-on experience with Snowflake.
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Robust understanding of ETL/ELT and data pipeline development.
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Positive understanding of data warehousing and cloud-native data architectures.
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Strong analytical, problem-solving, and communication skills.
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📌 Aws Data Engineer Hyderabad
🏢 ValueMomentum
📍 Hyderabad