Data Engineer

About the Company

Strong hands-on experience building and maintaining ELT/ETL pipelines to move and transform data across heterogeneous data platforms, including Snowflake, Oracle, and PostgreSQL.

About the Role

Deep understanding of data structures, relational databases, and cloud-native storage technologies across Snowflake, Oracle, Postgres, and other cloud-based RDBMS platforms.

Responsibilities

• 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.

Qualifications

Education details

Required Skills

Proficiency in Python and SQL, with practical experience using scripting languages such as Shell and Groovy for automation and data processing.

Preferred Skills

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.

Pay range and compensation package

Pay range or salary or compensation

Equal Opportunity Statement

Include a statement on commitment to diversity and inclusivity.