Job Description

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related quantitative field.
  • 10+ years of progressive experience in data engineering, including 3–5+ years in a technical lead or senior engineering role.
  • Extensive hands-on experience with Snowflake and dbt in large-scale, production-grade environments, including architecture design and optimization.
  • 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.
  • Strong 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.


Job Details

Role Level: Mid-Level Work Type: Full-Time
Country: India City: Hyderabad ,Telangana
Company Website: www.anblicks.com Job Function: Information Technology (IT)
Company Industry/
Sector:
IT Services and IT Consulting

What We Offer


About the Company

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