Lead Data Engineer

Experience: 8-10 Years

Work Mode: Onsite

Location Preference: Flexible

Role & Responsibilities

• Lead the design, development, and deployment of end-to-end data integration solutions using

  SnapLogic ETL

  .
• Develop and optimize

  Oracle SQL & PL/SQL

  code for efficient data processing and performance.
• Build, maintain, and enhance

  data pipelines

  ensuring data accuracy, scalability, and reliability.
• Collaborate with cross-functional teams to understand business requirements and translate them into robust data solutions.
  
• Create and maintain

  Python scripts

  for automation, data transformation, and validation.
• Implement data governance, security, and quality best practices.
  
• Mentor junior data engineers and guide them in solution design and development.
  
• Troubleshoot performance issues and support continuous improvement initiatives.
  

Preferred Candidate Profile

• 810 years

  of hands-on experience in

  Data Engineering

  .
• Strong expertise in

  SnapLogic ETL

  ,

  Oracle SQL

  , and

  PL/SQL

  .
• Proficiency in

  Python

  for data automation and processing.
• Solid understanding of

  data modeling

  ,

  ETL frameworks

  , and

  data warehouse architectures

  .
• Exposure to

  AWS Cloud

  services (S3, Redshift, Lambda, etc.) preferred.
• Familiarity with

  DevOps

  practices and CI/CD pipelines for data solutions is an advantage.
• Strong analytical, problem-solving, and communication skills.
  
• Ability to lead technical discussions, manage priorities, and deliver within timelines.