Data Engineer

Required Technical Expertise (Must Have) Strong hands‑on experience building and maintaining ELT/ETL pipelines to move and transform data across heterogeneous data platforms, including Snowflake, Oracle, and PostgreSQL . Deep understanding of data structures, relational databases, and cloud‑native storage technologies across Snowflake, Oracle, Postgres , and other cloud‑based RDBMS platforms. Proficiency in Python and SQL , with practical experience using scripting languages such as Shell and Groovy for automation and data processing. Proven experience designing, implementing, and orchestrating complex data pipelines using Apache Airflow and/or Control?M , with a focus on scalability, reliability, and operational efficiency. Hands‑on expertise with Docker , including container image creation, multi‑stage builds, container registries, and secure, scalable container‑based deployments. Strong experience implementing CI/CD pipelines using GitHub and Jenkins , including automated builds, testing, deployments, and adherence to security and quality procedures. Must have skills: Python, Ctrol+M or Apache Airflow, Oracle and Snowflake, strong SQL, CI/CD experience, Docker, Jenkins, Github Nice to have skills: AWS, Postgres, UI technologies for building dashboards (Angular, React, Nod.js, Typescript) Interview Process: 2 rounds total 45 mins – technical panel 45 mins - with squad leader #J-18808-Ljbffr Digipulse Technologies Inc.