Lead Software Engineer- Data Engineer

LeadDataEngineer

We would love to speak with you if you have skills in Python, Spark and have experience on building big data platforms.

About You - experience, education, skills, and accomplishments

• Bachelor s Degree or equivalent in computer science, software engineering, or a related field
• At least5years ofrelevantexperience.
• Good experienceworkingwith Python,PySpark, AWS, AWS Glue,EMRandDelta Lake.
• Good knowledge of ETL, including the ability to read and write efficient, robust code, follow or implement best practices and coding standards, design/implement common ETL strategies (CDC, SCD, etc.), and create reusable/maintainable jobs.
• Solid background in database systems (such asPostgres,Oracle, Snowflake/Databricks) along with strong knowledge of PL/SQL and SQL.
• Experience in handling large volume of data and building data pipelines.
• Possess good knowledge of Agile/other SDLC methodologies.
• Exposure to a Data warehouse / BI project in a Healthcare Domain.
• Strong oral and written communication skills.

It would be great if you also had . . .

• Familiarity with
• swould be added advantage.
• Experience in building big data platforms.
• Understanding on healthcare data.

What will you be doing in this role

As a member of Data Engineering Team, you ll Step into a key role on an expanding data engineering team to build our data platforms, data pipelines, and data transformation capabilities.

• Define and implement our data platform strategy on Cloud, have a meaningful impact on our customers, and working in our high energy, innovative, fast-paced Agile culture.
• Drive rapid prototyping and development with Product and Technical teams in building and scaling high-value medical data capabilities.
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Apache suite (airflow, spark), SQL, Python, ETL, and AWS big data technologies.
• Creation and support of batch and real-time data pipelines and ongoing data monitoring and validation built on AWS/Snowflake/Apache technologies for medical data from many different sources.
• Conduct functional and non-functional testing, writing test scenarios and test scripts.
• Evaluate existing applications to update and add new features to meet business requirements.
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