Cloud Data Engineering Leader for Scalable Solutions
4 days ago
About Sonata Software
Sonata Software is a leading Modernization Engineering company that empowers clients to drive hypergrowth through data-driven insights. Our team of experts delivers modernized digital storefronts, appealing to both consumers and B2B customers.
We bring agility and systems thinking to accelerate time to market for our clients, leveraging our Lightening suite and 16-step Platformation playbook. With a strong global presence, 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).
Job Description for Cloud Data Engineering Lead
Role: Cloud Data Engineering Lead
Location : Bangalore/Hyderabad
Years of Experience: 10+ Years
Responsibilities:
- Design and implement scalable data pipelines on Azure, AWS, and Snowflake.
- Architect ETL/ELT solutions using ADF, AWS Glue, or dbt.
- Ensure robust data governance practices, including role-based access, data encryption, and compliance with industry regulations.
- Collaborate with cross-functional teams to build and maintain cloud-based data platforms.
- Mentor junior engineers and drive best practices within the organization.
- Stay up-to-date with emerging technologies and trends in data engineering.
Key Skills:
- Cloud Data Engineering: Experience in designing, implementing, and optimizing data pipelines on cloud platforms such as Azure and AWS.
- Data Governance: Strong expertise in implementing robust data governance practices, including role-based access control and data encryption.
- ETL & ELT Development: Advanced skills in designing and implementing scalable ETL/ELT processes using tools such as ADF, AWS Glue, or dbt.
- Data Modeling: Ability to design optimized data models for efficient analytics and reporting.
- SQL & Performance Optimization: Strong expertise in SQL, including advanced techniques such as indexing and query performance tuning.
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