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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 across large, complex datasets.
Ensure adoption of best practices in data engineering, coding standards, and cloud infrastructure within the team environment.
Collaborate with product, analytics, and engineering teams to deliver reliable, scalable data solutions for BI use cases.
Minimum Requirements
5-8 years of experience in data engineering with a proven track record of impact.
Strong expertise in Big Data ecosystems including Apache Spark, Hadoop, Delta Lake, Hudi, Kafka, and Qlik.
Proficiency in SQL and Python/Scala with experience in cloud platforms (AWS preferred) such as EMR, Glue, S3, Lambda.
Experience with database technologies (PostgresSQL, MySQL, MSSQLServer), data modeling, and modern data warehouse platforms (Redshift, Snowflake, Databricks, BigQuery).
Ideal Candidate Profile
Experienced working with complex, large-scale distributed data systems and enterprise data warehouse environments focusing on reporting and analytics.
Comfortable operating within a collaborative cross-functional team involving product, analytics, and engineering stakeholders to deliver data solutions.
Familiar with infrastructure-as-code (CI/CD, Terraform), containerization (Kubernetes, Docker), data governance, security, and compliance practices in data engineering contexts.