Data Architectural Engineer

2 days ago

Meerut, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 18,00,000 - ₹ 25,00,000
Unlock the Power of Data Engineering

As a seasoned data engineer, you will play a pivotal role in unlocking the strategic drivers for future success. Our advanced analytics team is dedicated to solving complex problems and driving topline growth and operational efficiencies.

  • Analyze existing data warehouse implementations to support migration and consolidation efforts, ensuring seamless transitions.
  • Reverse-engineer legacy stored procedures and translate business logic into scalable Spark SQL code within Databricks notebooks, streamlining processes.
  • Design and develop data lake solutions on AWS using S3 and Delta Lake architecture, leveraging Databricks for processing and transformation, maximizing data integrity.
  • Build and maintain robust data pipelines using ETL tools with ingestion into S3 and processing in Databricks, ensuring efficient data flow.
  • Collaborate with data architects to implement ingestion and transformation frameworks aligned with enterprise standards, promoting consistency.
  • Evaluate and optimize data models (Star, Snowflake, Flattened) for performance and scalability in the new platform, enhancing data delivery.
  • Document ETL processes, data flows, and transformation logic to ensure transparency and maintainability, facilitating knowledge sharing.
  • Perform foundational data administration tasks including job scheduling, error troubleshooting, performance tuning, and backup coordination, guaranteeing data reliability.
  • Work closely with cross-functional teams to ensure smooth transition and integration of data sources into the unified platform, fostering collaboration.
  • Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and backlog grooming, embracing iterative development.
  • Triage, debug, and fix technical issues related to Data Lakes, ensuring swift resolution.
  • Maintain and manage Code repositories like Git, promoting version control.

Required Skills and Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related field.
  • 5+ years of experience working with Databricks, including Spark SQL and Delta Lake implementations.
  • 3+ years of experience in designing and implementing data lake architectures on Databricks.
  • Strong SQL and PL/SQL skills with the ability to interpret and refactor legacy stored procedures.
  • Hands-on experience with data modeling and warehouse design principles.
  • Proficiency in at least one programming language (Python, Scala, Java).
  • Experience working in Agile environments and contributing to iterative development cycles.

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