Big Data Engineer

About the role

We are looking for an experienced Lead Data Engineer with 7–10 years of hands-on experience to design, build, and maintain scalable data pipelines and processing systems in an on-premises Big Data environment . This is a technical leadership role: beyond strong individual contribution, the ideal candidate will own architecture and design decisions, set technical direction, and mentor and support other developers on the team.

What you'll do

• Lead the design, development, and maintenance of robust, scalable data pipelines for ingestion, transformation
• Own architectural and design decisions for data solutions, evaluating trade-offs and defining technical standards for the team
• Mentor, guide, and support other data engineers through code reviews, design reviews, technical coaching, and hands-on problem-solving
• Build and optimize data workflows using Python, Spark, and the Hadoop ecosystem
• Work extensively with Hadoop ecosystem components (Hive, HDFS, Impala) to manage and query large-scale data

What you need

• 7–10 years in data science & ai
• Machine learning
• Python
• SQL
• ETL
• Hadoop
• Spark
• Any graduate

Good to have

• Hive
• Data structures