Staff Software Engineer/SE-V

• We are seeking a highly skilled and motivated Staff Software Engineer with e xtensive background in data engineering, cloud services, with proficiency in scripting languages to join our team. The successful candidate will be instrumental in designing, building, and maintaining our data analysis pipelines, ETL processes, AWS backbone functionality, CI/ CD and other related activities.

• Ability to design and build data pipelines.

• Ability to design and build Api s in languages in Python or Java .

• Amazon Web Services data services including:

• EC2 / S3/ Postgres

• Aurora MySQL

• RDS

• Lambda

• Step Functions

• Glue

• Airflow or similar o rchestration experience .

• DevOps practices like continuous integration/continuous deployment (CI/CD), infrastructure as code ( IaC ), and automated testing is a plus.

• Strong demonstrable SQL, Python, Java skills .

• Thorough understanding of, and support for, Agile development methodologies .

• Ability to work independently , as well as with a team.

Ability to communicate technical concepts and designs to cross-functional teams who have varying levels of technical experience.

• Proven data engineering, problem solving, and analysis skills.

• High-level written and verbal communication skills .

• Ability to adapt to changing conditions and lead others through change.

• Analytical and problem-solving ability and orientation .

• Demonstrated organizational, prioritization, and time management skills.

• Attention to detail.

• Lead and mentor junior engineers .

• Establish reusable patterns for the engineering team.

Roles & Responsibilities

• Design, create and modify data pipelines and related interfaces.

• Own and develop interfaces to/from Snowflake, Snowflake admin a plus.

• Contribute to backend and ELT development effort of our data platform.

• Lead and provide hands-on new development as well as enhancement of existing data processes.

• Design, maintain , and tune extraction, load, and transformation, (ELT / ETL) processes using PL/SQL, SQL, Python, or Spark.

• Promote collaboration through activities including design sessions, design reviews, and pair programming, etcetera.