Staff Data Engineer

5 days ago

Gurgaon, Haryana, India Bain Full time ₹ 15,00,000 - ₹ 30,00,000 per year

Key Responsibilities

Data Architecture & Engineering Leadership

  • Design and own scalable data architectures for ingestion, transformation, and analytics on Databricks.
  • Build robust ETL/ELT pipelines using PySpark, SQL, and Databricks Workflows.
  • Lead performance tuning, partitioning, and data optimization across large distributed systems.
  • Mentor junior data engineers and enforce best practices for code quality, testing, and version control.

Cloud & Platform Engineering

  • Develop and maintain data lakes and data warehouses on cloud platforms (Azure Data Lake, AWS S3, GCP BigQuery, etc.).
  • Utilize Azure Data Factory, AWS Glue, or similar orchestration tools to manage large-scale data workflows.
  • Integrate multiple data sources (structured, semi-structured, and unstructured) into unified models for NPS Prism analytics.

Databricks & Advanced Analytics Enablement

  • Leverage Databricks for large-scale data processing, Delta Lake management, and ML/AI enablement.
  • Drive the adoption of Databricks Unity Catalog, governance, and performance features.
  • Partner with analytics teams to enable seamless model training and inference pipelines on Databricks.

Data Quality, Observability & Governance

  • Define and implement frameworks for data validation, monitoring, and error handling.
  • Collaborate with platform teams to establish data lineage and governance using tools like Great Expectations, Monte Carlo, or Databricks-native observability.
  • Ensure compliance with Bains data security and privacy standards.

DevOps & CI/CD for Data

  • Implement CI/CD pipelines for data code deployments using Git, Azure DevOps, or Jenkins.
  • Automate testing, deployment, and monitoring for data workflows to ensure reliability and repeatability.

Cross-Functional Collaboration

  • Work with product and business teams to translate analytical requirements into scalable technical designs.
  • Collaborate with Data Science and BI teams to deliver analytics-ready datasets for dashboards and models.
  • Serve as a technical advisor in architectural reviews and strategic data initiatives within NPS Prism.

Required Skills and Qualifications

  • Core Technical Expertise:
  • Advanced proficiency in Databricks (mandatory).
  • Strong command of Python, SQL, and PySpark for big data processing.
  • Experience with Delta Lake, Spark optimization, and cluster management.
  • Hands-on with ETL/ELT design, data lake and warehouse architecture.
  • Cloud expertise in Azure, AWS, or GCP (Azure preferred).
  • Leadership & Architecture:
  • 68 years of data engineering experience, with at least 3 years in a lead or staff-level role.
  • Proven ability to design end-to-end data solutions and influence engineering best practices.
  • Strong mentorship and stakeholder management skills.
  • Additional Desirable Skills:
  • Familiarity with streaming frameworks (Kafka, Event Hubs).
  • Understanding of data modeling and BI integration (Power BI, Tableau).
  • Exposure to DevOps, CI/CD pipelines, and Infrastructure as Code (IaC).
  • Strong problem-solving and analytical skills.

Educational Qualifications

  • Bachelors or Masters degree in Computer Science, Information Systems, or a related field.

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