Advanced Data Specialist

6 days ago

Chennai Bengaluru Bangalore Gurgaon Gurugram, India beBeeDataEngineer Full time ₹ 1,04,000 - ₹ 1,30,878

Job Title: Senior Data Engineer II

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

  • You will be responsible for designing, implementing, and maintaining sophisticated software solutions leveraging your expertise in Python, PySpark, SQL, and API integration on Azure platform services like ADF and Databricks.
  • Utilize various AI Agents like Genie and Copilot to improve productivity.

Responsibilities:

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

Requirements:

  • Bachelor s or Master s degree in Computer Science, Data Engineering, or equivalent practical 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.
  • 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.
  • Proficient in Git , version control workflows, and CI/CD practices.
  • Solid understanding of data governance, metadata management, and data quality frameworks.
  • Exposure to Unity Catalog, Databricks Genie, or other AI-enhanced data engineering tools is preferred.
  • Excellent analytical, debugging, and stakeholder communication skills. Familiarity with Agile or Scrum-based delivery.
  • 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.

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