Description

We are seeking a Lead Data Engineer with strong expertise in Python and PySpark to design, build, and migrate scalable data pipelines on Databricks using Apache Spark. The role focuses on implementing and managing Medallion Architecture (Bronze, Silver, Gold) with Delta Lake to deliver reliable, high-performance data solutions. The successful candidate will optimize Databricks jobs and Spark workloads, enhance ETL/ELT pipelines, support batch and streaming data processing, and provide technical mentorship while leading Databricks-focused proof-of-concept initiatives

Roles & Responsibilities

Migration and Implementation : Lead the migration of legacy Java-based data pipelines to Databricks; design and maintain scalable data pipelines using Databricks and Spark.

Data Engineering and Management : Create, maintain, and update data models; build infrastructure for optimal data extraction, transformation, and loading (ETL).

Performance Analysis and Optimization : Analyse and optimize Databricks jobs and queries; monitor and tune Databricks environments for scalability and reliability. Address data-related technical issues; assist teams with data transformation workloads; perform root cause analysis to identify improvement opportunities.

Technical Improvement : Implement best practices for efficient data processing and storage; develop processes that support data transformation, workload management, data structures, and metadata.

Technical Mentorship : Mentor a team of data engineers; serve as the go-to person for Databricks-related queries; conduct Proof of Concepts (POCs) to demonstrate Databricks capabilities

Required Experience

 

• Proficiency in Python / PySpark
• Proven experience with Databricks and Spark, including building and optimizing data pipelines.
• Strong data modeling experience and advanced SQL knowledge.
• Experience with Delta Lake and performance analysis in Databricks.
• Knowledge of message queuing, stream processing, and scalable big data stores.
• Experience with Talend is preferable.
  
   

Non-Technical / Behavioral Competencies Required

 

• Must have worked with US based clients in onsite/offshore delivery model
• Strong verbal and written communication, technical articulation, listening, and presentation skills are essential
• Should have proven analytical and problem-solving skills
• Demonstrated expertise in prioritization, time management, and stakeholder management (both internal and external) is necessary
• Should be a quick learner, self-starter, proactive, and an effective team player.
• Must have experience working under tight deadlines within a matrix organizational structure

Key Skills

Education

Any Graduate