- Bachelor s degree in Computer Science, Information Systems, Engineering, or a related quantitative field.
- 12+ years of progressive experience in data engineering , including 3-5+ years in a technical lead or senior engineering role .
- Expert-level proficiency in SQL , including complex query design, performance tuning, cost optimization, and query profiling.
- Deep expertise in data warehousing and modeling concepts , including dimensional modeling, CDC (Change Data Capture), SCD Types, and data vault-style patterns.
- Proven experience leading the design, development, and deployment of scalable, cloud-native data pipelines (ETL/ELT) supporting enterprise analytics and reporting.
- Demonstrated ability to define data engineering standards, best practices, and reusable frameworks across teams.
- Robust knowledge of data governance, security, privacy, and compliance , including role-based access, data classification, and auditability.




- Proven experience mentoring junior engineers , conducting code/design reviews, and guiding teams toward scalable and maintainable solutions.
- Excellent problem-solving and analytical skills, with the ability to make architectural decisions under ambiguity.
- Strong communication and stakeholder management skills, with the ability to translate business requirements into technical solutions.
- Ability to own end-to-end data initiatives , work independently, and lead teams effectively in a fast-paced, Agile environment.

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📌 Sr. Data Engineer (Hyderabad)
🏢 Anblicks Solutions
📍 Hyderabad