Senior Data Engineer

6 days ago

Bangalore, India Sonata Software Full time

About the Company In today's market, we observe a distinct duality in technology adoption. On one front, clients are keenly focused on cost containment, while on the other, there is a strong drive to modernize their digital storefronts, aiming to appeal to both consumers and B2B customers alike. As a leading Modernization Engineering company, we aim to deliver modernization-driven hypergrowth for our clients based on the deep differentiation we have created in Modernization Engineering, powered by our Lightening suite and 16-step Plat formation playbook. In addition, we bring agility and systems thinking to accelerate time to market for our clients. Headquartered in Bengaluru, India, Sonata Software has a strong global presence, with strategic operations spanning across key regions such as the US, UK, Europe, APAC, and ANZ. We are a trusted partner of world-leading companies in TMT (Telecom, Media, and Technology), Retail & CPG, Manufacturing, BFSI (Banking, Financial Services and Insurance), and HLS (Healthcare and Lifesciences). Our bouquet of Modernization Engineering services cuts across Cloud, Data, Dynamics, Contact Centers, and around newer technologies like Generative AI, MS Fabric, and other modernization platforms. To know more, visit: About the Role Senior Data Engineer Responsibilities Proven experience in building scalable data pipelines Strong proficiency in Python, especially working with Data Frames Hands-on experience with AWS services: Lambda SQS (Events) API Gateway Kinesis DynamoDB Expertise in SQL querying Experience with Snowflake or similar analytics databases Skilled in extracting data from both SQL and NoSQL databases Familiarity with CI/CD pipelines for code deployment across environments Working knowledge of Cursor AI or Copilot Qualifications Experience: 5+ Years Location: Bangalore / Hyderabad Employment Type: Full-time Required Skills Proven experience in building scalable data pipelines Strong proficiency in Python, especially working with Data Frames Hands-on experience with AWS services Expertise in SQL querying Experience with Snowflake or similar analytics databases Skilled in extracting data from both SQL and NoSQL databases Familiarity with CI/CD pipelines for code deployment across environments Working knowledge of Cursor AI or Copilot Preferred Skills Experience with AWS CDK (Cloud Development Kit) Hands-on experience upgrading Python versions and managing related connectors in AWS using CDK Exposure to modern ETL platforms Familiarity with Snow pipe for data movement from S3 to Snowflake Equal Opportunity Statement We are committed to diversity and inclusivity.

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