Data Engineer

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About the Role

Data Engineer

Key Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines for ingesting and transforming structured and unstructured data.
• Build and optimize data models, warehouses, and marts to support analytics and business intelligence.
• Develop data integration solutions across internal and external data sources.
• Ensure data accuracy, quality, governance, and security across the entire lifecycle.
• Collaborate with Data Scientists, Analysts, and Engineering teams to deliver reliable datasets.
• Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
• Automate repetitive data processing tasks using scripting languages and cloud-native tools.
• Document data flows, architecture diagrams, and technical processes.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, IT, or a related field.
• 2–5 years of experience in data engineering or a similar role.
• Strong proficiency in SQL and experience working with relational databases (MySQL, PostgreSQL, SQL Server, etc.).
• Hands-on experience with data processing frameworks such as Spark, Hadoop, or Kafka.
• Proficiency in Python or Java for data pipeline development.
• Experience with cloud platforms like AWS, Azure, or GCP (S3, Redshift, BigQuery, Databricks, etc.).
• Understanding of ETL/ELT concepts, data modeling, and warehousing.
• Familiarity with version control tools (Git) and CI/CD practices.

Preferred / Good-to-Have

• Experience with workflow orchestration tools (Airflow, Luigi, Prefect).
• Knowledge of NoSQL databases like MongoDB, Cassandra, or DynamoDB.
• Exposure to containerization and DevOps tools (Docker, Kubernetes).
• Understanding of data governance, cataloging, and security frameworks.

Why Join Us

• Work on high-impact data projects powering decision-making and analytics.
• Collaborate with cross-functional teams in a fast-paced, innovative environment.
• Opportunity to learn and work with modern data engineering tools and cloud platforms.
• Competitive compensation and long-term career growth.