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 Git Hub 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