Lead development of cloud data platforms and end-to-end data pipelines using AWS/Snowflake and big-data technologies (Spark, Hive, Iceberg). Automate builds and deployments with Bash/Python shell scripting, apply CI/CD and Medallion Architecture, perform data modeling and warehousing, and collaborate across teams. Pharma/AbbVie experience preferred.
- Developer experience in cloud platforms like AWS,
Snowflake, etc.
- Proficient user of Bash, Python, and Shell
scripts for automating builds and deployment procedures, with a focus on
CI/CD and Medallion Architecture.
- Skilled in Shell/Bash scripting and building data pipelines on Unix/Linux systems.
- Hands-on experience with big data technologies such as Spark, Hive,
Iceberg tables, etc.
- Expert in data modeling, is aware of data
modeling, data warehousing concepts.
- Experience with building data pipelines in Python/Pyspark/HiveSQL/Presto/BigQuery
- Prior experience in Pharma and/or AbbVie is
strongly preferred.
- Great communication
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What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
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- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center


