Data Engineer

Job Summary We are looking for a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision-making. The ideal candidate has strong experience with data systems, cloud platforms, and ETL processes, and works closely with data analysts, data scientists, and product teams. Key Responsibilities • Design, develop, and maintain robust data pipelines (ETL/ELT) • Build and optimize data warehouses and data lakes • Ensure data quality, integrity, reliability, and performance • Integrate data from multiple sources (APIs, databases, files, streams) • Collaborate with analytics and business teams to support reporting needs • Monitor, troubleshoot, and optimize data workflows • Implement data security, governance, and compliance best practices • Automate data processing and deployments using CI/CD pipelines • Maintain clear technical documentation Required Skills & Qualifications • Bachelor’s degree in Computer Science, Engineering, or related field • 5+ years of experience in Data Engineering • Strong SQL skills and experience with relational & NoSQL databases • Experience with ETL tools and frameworks • Programming experience in Python / Java / Scala • Knowledge of data modeling concepts (star/snowflake schemas) • Familiarity with Linux and version control (Git) Preferred / Nice to Have • Experience with cloud platforms (AWS / Azure / GCP) • Hands-on experience with Spark, Hadoop, Kafka • Experience with data warehouses (Snowflake, Redshift, BigQuery, Synapse) • Knowledge of orchestration tools (Airflow, Prefect, Dagster) • Understanding of DevOps and Infrastructure-as-Code (Terraform) • Exposure to real-time / streaming data pipelines