Key Responsibilities

• Design, develop, and optimize data pipelines using Databricks
• Build scalable ETL/ELT solutions for large datasets
• Work closely with data engineers, architects, and stakeholders
• Ensure data quality, performance, and reliability
• Take ownership of deliverables end-to-end and drive solutions independently
• Participate in design discussions and technical decision-making

✅ Required Skills & Experience

• Total Experience: Minimum 8+ years
• Databricks: At least 5+ years of hands-on experience (mandatory)
• Strong experience as a Data Engineer or Data Warehouse professional
• Proficiency in Apache Spark, SQL, Python / Scala
• Experience working with large-scale data systems
• Strong understanding of data modeling, performance tuning, and optimization
• Exposure to cloud platforms (AWS / Azure preferred)

Behavioral & Professional Expectations

• Good Communication Skills:
  Ability to clearly communicate with both technical and non-technical stakeholders

• Career Stability:
  Demonstrates long-term commitment and consistent career progression

• Ownership:
  Takes full responsibility for assigned modules and delivers with accountability

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Concord is an execution partner helping organizations drive digital transformation, modernization, and scalable technology solutions. We deliver results that solve real business challenges. We operate globally and are growing fast, shaping the future of technology. Join a team trusted by top companies to drive strategic growth and operational excellence!