Cloud Data Architect

1 week ago

Nashik, Maharashtra, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Overview

We are seeking a skilled Cloud Data Engineer to join our team. This individual will be responsible for managing and optimizing our cloud data platform to make it more scalable, reliable, and cost-efficient.

The ideal candidate will have experience with Databricks, Spark SQL, and Delta Lake implementations. They should also possess strong SQL and PL/SQL skills, as well as hands-on experience with data modeling and warehouse design principles.

Additionally, the successful candidate will be proficient in at least one programming language (Python, Scala, Java) and have experience working in Agile environments.

Key Responsibilities:

  • Analyze and understand existing data warehouse implementations to support migration and consolidation efforts.
  • Reverse-engineer legacy stored procedures (PL/SQL, SQL) and translate business logic into scalable Spark SQL code within Databricks notebooks.
  • Design and develop data lake solutions on AWS using S3 and Delta Lake architecture, leveraging Databricks for processing and transformation.
  • Build and maintain robust data pipelines using ETL tools with ingestion into S3 and processing in Databricks.

Requirements:

  • 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).

Preferred Skills:

  • Databricks cloud certification is a plus.
  • Experience working in Agile environments and contributing to iterative development cycles.

Join us in building a world-class advanced analytics team that will drive organic growth by leveraging big data and advanced analytics. Work closely with cross-functional teams to ensure smooth transition and integration of data sources into the unified platform.

Our team is part of the Organization and reports to the VP and Chief Data Officer. We work closely with the SVP of Corporate Strategy and have regular interactions with the company's C-Suite.

What We Offer:

  • A competitive salary and benefits package.
  • Ongoing training and professional development opportunities.
  • A collaborative and dynamic work environment.

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