Expert Data Architect

3 days ago


Chennai Bengaluru Gurugram, India beBeeDataEngineering Full time US$ 1,20,000 - US$ 1,80,000

Job Title: Senior Software Engineer II

About the Role

We are seeking a dedicated and skilled developer to join our team of data engineers and data analysts working with various stakeholders.

Responsibilities
  • Data Pipeline Engineering: Design and build scalable, high-performance ETL/ELT pipelines using Azure Data Factory and Azure Databricks, handling ingestion and transformation of data from diverse internal and external sources.
  • Advanced Data Preparation & Transformation: Implement complex transformation logic using PySpark and SQL to standardize, cleanse, and normalize large-scale datasets including nested JSON.
  • Data Modeling: Create and maintain dimensional models (star/snowflake schemas) and structured outputs to support analytics, reporting, and regulatory use cases.
  • Performance Optimization: Profile and tune PySpark jobs for performance using techniques such as caching, partitioning, and broadcast joins. Ensure pipelines scale efficiently with increasing data volumes.
  • Governance & Quality Assurance: Apply robust data validation, quality checks, and maintain metadata lineage with Unity Catalog. Adhere to governance standards across the pipeline lifecycle.
  • Cross-Functional Collaboration: Partner with business analysts, product managers, data scientists, and QA teams to understand data requirements and deliver fit-for-purpose solutions.
  • Documentation & Knowledge Sharing: Maintain comprehensive documentation on data flows, architecture, and models. Support upskilling and mentoring of junior team members.
  • Ai-Enhanced Development: Utilize Databricks Genie and related AI assistants to accelerate development, ensure code quality, and assist in troubleshooting.

Requirements
  • Education: Bachelor s or Master s degree in Computer Science, Data Engineering, or equivalent practical experience.
  • Experience: Total experience of 6 to 8 years and 5+ years in data engineering roles with hands-on experience in PySpark, SQL, and Azure-based data ecosystems.
  • Skills: Strong background in building robust and maintainable pipelines using Azure Data Factory and Databricks, proven expertise in data modeling, schema design, and large-scale data preparation for analytics.
  • Tools: Proficient in Git, version control workflows, and CI/CD practices, solid understanding of data governance, metadata management, and data quality frameworks.
  • Preferred Skills: Exposure to Unity Catalog, Databricks Genie, or other AI-enhanced data engineering tools is preferred, excellent analytical, debugging, and stakeholder communication skills.
  • Bonus Skills: Experience with machine learning workflows and integrating model outputs into data pipelines, exposure to Salesforce, Alfresco, or Schedule A contract data formats is a bonus.

What We Offer:

Our organization provides a dynamic work environment where professionals can grow and thrive.

Successful candidates will have opportunities to develop their technical skills, work with cutting-edge technologies, and collaborate with experienced peers.

Join us and contribute to shaping the future of data engineering


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