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Lead Engineer - Azure Databricks

Lead Engineer - Azure Databricks

Innovation Consulting ServicesPune
5 days ago
Job description

Description :

Job Title : Lead Engineer

Location : Viman Nagar, Pune (Hybrid)

Company : UK-Based (Confidential)

Experience : 8 - 15 Years

Open Positions : 2

About the Role :

We are seeking a highly skilled Lead Data Engineer with deep expertise in Databricks, Apache Spark, and advanced SQL. In this role, you will be responsible for architecting, designing, and scaling modern data pipelines within a lakehouse environment. You will guide engineering teams, define best practices, and collaborate with cross-functional stakeholders to deliver high-quality, reliable, and scalable data solutions.

Key Responsibilities :

1. Data Engineering & Pipeline Development :

  • Design, build, and optimize data pipelines using Databricks, Spark, and SQL.
  • Implement scalable and high-performance ETL / ELT workflows for structured and unstructured data.
  • Ensure data pipelines meet enterprise-level requirements for performance, reliability, and availability.
  • Develop reusable frameworks, components, and automation scripts to streamline data engineering tasks.

2. Architecture & Technical Leadership :

  • Drive end-to-end data architecture decisions, especially in lakehouse and distributed computing environments.
  • Establish best practices for Spark job optimization, data quality, data governance, and code maintainability.
  • Evaluate and implement modern data engineering tools, frameworks, and approaches to continuously improve platform efficiency.
  • Provide technical leadership and direction to engineering teams, ensuring adherence to architectural standards.
  • 3. Collaboration & Stakeholder Management :

  • Work closely with analytics, BI, product, and business teams to understand data needs and translate them into technical solutions.
  • Partner with data scientists and analysts to ensure data accessibility, performance, and usability.
  • Communicate complex technical concepts to non-technical stakeholders in a clear and structured manner.
  • 4. Mentoring & Team Development :

  • Mentor and coach junior and mid-level data engineers to enhance their technical skills.
  • Conduct code reviews, provide constructive feedback, and ensure high-quality engineering practices across the team.
  • Lead technical discussions, training sessions, and knowledge-sharing activities.
  • Required Skills & Qualifications :

  • 812 years of hands-on experience in Data Engineering.
  • Strong expertise in Databricks (Notebook development, Delta Lake, Jobs, Workflows).
  • Advanced proficiency in Apache Spark (PySpark / Scala / SQL).
  • Strong command of SQL, including performance tuning and writing complex queries.
  • Experience designing and scaling distributed data processing systems.
  • Solid understanding of lakehouse patterns, Delta Lake, data modeling, and modern data architecture.
  • Proven experience in leading teams, providing technical guidance, and driving engineering standards.
  • Strong problem-solving skills with the ability to troubleshoot complex data and performance issues.
  • Good to Have (Optional) :

  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Knowledge of CI / CD pipelines and DevOps practices.
  • Exposure to data quality frameworks such as Great Expectations.
  • Understanding of data governance and security principles.
  • Interview Process :

  • L1 Technical Interview
  • L2 Deep-Dive Technical Interview
  • Client Interview
  • (ref : hirist.tech)

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