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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and scale data pipelines and modern data warehouse platforms to support enterprise reporting and analytics.
Ensure adoption of best practices in data engineering, coding standards, and cloud infrastructure.
Collaborate with product, analytics, and engineering teams to deliver reliable data solutions.
Minimum Requirements
5-8 years of experience in Data Engineering with proven impact.
Strong expertise in Big Data ecosystems (Apache Spark, Hadoop, Delta Lake, Hudi, Kafka, Qlik).
Proficiency in SQL, Python or Scala and experience with cloud platforms (AWS preferred) including EMR, Glue, S3, Lambda.
Experience with database technologies (PostgresSQL, MySQL, MSSQLServer) and modern data warehouse platforms (Redshift, Snowflake, Databricks, BigQuery).
Ideal Candidate Profile
Experienced in designing distributed data systems with strong system design and problem-solving skills.
Ability to work cross-functionally with product, analytics, and engineering teams to deliver scalable data solutions.
Familiarity with CI/CD, Terraform, Kubernetes, Docker, and knowledge of data governance, security, and compliance practices.