Data Engineering Lead

1 month ago


Pune, Maharashtra, India PROCDNA ANALYTICS PRIVATE LIMITED Full time
{"About the Role": "

We're seeking an accomplished Data Engineering Lead to spearhead the design and implementation of enterprise data processing and BI reporting solutions at ProcDNA Analytics Private Limited.

", "Key Responsibilities": "
  • Design and implement complex and scalable enterprise data processing and BI reporting solutions.
  • Develop and maintain data pipelines to feed data models for subsequent consumption in Snowflake using DBt and Apache Airflow.
  • Ensure strict data compliance, security, and cost optimization.
  • Re-architect data solutions for scalability, reliability, and resilience.
  • Manage data schemas and flow to ensure compliance, integrity, and security.
  • Deliver end-to-end data solutions across multiple infrastructures and applications.
  • Actively monitor and triage technical challenges in critical situations.
  • Develop relationships with external stakeholders to maintain awareness of data and security issues and trends.
", "Requirements": "

We're looking for a seasoned data engineering professional with a strong background in data engineering, a degree in engineering, and a minimum of 8-12 years of experience in a data engineering role.

", "Nice to Have": "

A strong grasp of data warehouses, data ingestion, storage, and consumption, as well as expertise in SQL and data schema management, would be a significant asset.

", "About the Team": "

We're a dynamic team at ProcDNA Analytics Private Limited, and we're committed to fostering a collaborative environment that encourages growth and innovation.

", "What We Offer": "

We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.

", "Why Join Us": "

Join us at ProcDNA Analytics Private Limited and be part of a team that's shaping the future of data engineering.

", "Skills": "Data Engineering, AWS, Snowflake, Data Warehouse Architecture, Data Warehousing, SQL"}

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