Data Engineer
We're on the hunt for a Data Engineer who thrives in solving complex data challenges using Python, AWS, and scalable ETL solutions. This role will work closely with architects and data scientists to shape next-gen data systems and migrate from legacy technologies to future-ready pipelines.
What You'll Be Doing :
- Build and deploy large-scale, cloud-native data pipelines using Python and AWS services.
- Drive modernization efforts - replacing legacy systems with modern, flexible ETL tools.
- Collaborate with data architects and business analysts to evaluate and implement optimal data strategies.
- Prototype, test, and productionize innovative solutions that enable self-service analytics.
- Ensure reliability, data quality, and performance of the entire data lifecycle.
- Contribute to roadmap planning, architectural decisions, and team-level strategy.
- Provide technical leadership and communicate clearly across teams and business functions.
- Participate in code reviews, solution design, and implementation of metadata and data lineage strategies.
Core Skills We're Looking For :
Proficient in Python with real-world experience building robust data solutions.Hands-on experience with AWS cloud services like Redshift, RDS, DynamoDB, etc.Deep understanding of ETL pipelines, SQL, and relational databases.Comfortable using GIT / Bitbucket in collaborative environments.Experience in data warehousing and handling structured / unstructured datasets.Familiarity with Agile development and working in cross-functional teams.Strong communication skills - you can translate data speak into business insights.Bonus Points For :
Exposure to Spark, SAS, or similar big data tools.Experience working in the healthcare domain or with standards like OMOP, FHIR.Knowledge of data governance, lineage, and BI tool integrations.ref : hirist.tech)