Data Engineer

Data Engineer – Chennai\nBuild the foundation of data intelligence — design, develop, and optimize data pipelines that power AI-driven insights.\n\nLocation: Chennai, India\nExperience: 3–5 years in data engineering or data-driven product development\n\nRole Overview\nAs a Data Engineer , you will be responsible for building and maintaining scalable data pipelines and architectures that enable AI and analytics solutions. You’ll work closely with data scientists, software engineers, and product teams to ensure data is clean, reliable, and ready for advanced modeling and insights.\n\nWhat You’ll Do\nData Pipeline Development – Design, build, and maintain robust ETL/ELT pipelines for structured and unstructured data.\nData Integration – Ingest data from various sources (APIs, databases, cloud storage) into centralized data platforms.\nPerformance Optimization – Enhance data processing speed, reliability, and scalability.\nCloud Data Engineering – Work with cloud platforms (AWS, Azure, or GCP) for data storage, processing, and orchestration.\nCollaboration – Partner with data scientists and analysts to ensure data availability and quality for downstream use cases.\nBest Practices – Ensure code quality, data security, and maintainability through testing, automation, and documentation.\n\nWhat Makes You Right for This Role\n2–3 years of experience in data engineering, data warehousing, or big data environments .\nStrong programming skills in Python or Java (experience with PySpark or Scala is a plus).\nHands-on experience with ETL tools and data pipeline frameworks (e.g., Airflow, Spark, Kafka).\nProficiency in working with SQL and relational databases (PostgreSQL, MySQL, etc.).\nFamiliarity with cloud platforms such as AWS (Glue, S3, Redshift), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow).\nExposure to containerization (Docker, Kubernetes) and CI/CD workflows is a plus.\nPassionate about data , automation , and building systems that drive intelligent decision-making .\nBased in Chennai , with flexibility to collaborate with global teams.\n\nCrayon Data Tech Stack\nJava | Python | Spark | Kafka | Airflow |