Data Engineer

We are looking for a highly motivated and skilled Data Engineer

Key Responsibilities

• Build and maintain robust, scalable ETL pipelines across batch and real-time data sources.
• Design and implement data transformations using Spark (PySpark/Scala/Java) on Hadoop/Hive.
• Stream data from Kafka topics into data lakes or analytics layers using Spark Streaming.
• Collaborate with cross-functional teams on data modeling, ingestion strategies, and performance optimization.
• Implement and support CI/CD pipelines using Git, Jenkins, and container technologies like Docker/Kubernetes.
• Work within cloud and on-prem hybrid data platforms, contributing to automation, deployment, and monitoring of data workflows.

Skills

• Strong programming skills in Python, Scala, or Java.
• Hands-on experience with Apache Spark, Hadoop, Hive, Kafka, HBase, or related tools.
• Sound understanding of data warehousing, dimensional modeling, and SQL.
• Familiarity with Airflow, Git, Jenkins, and containerization tools (Docker/Kubernetes).
• Exposure to cloud platforms such as AWS or GCP is a plus.
• Experience with Agile delivery models and collaborative tools like Jira and Confluence.

Nice to Have

• Experience with streaming data pipelines, machine learning workflows, or feature engineering.
• Familiarity with Terraform, Ansible, or other infrastructure-as-code tools.
• Exposure to Snowflake, Databricks, or modern data lakehouse architecture is a bonus.