Sr Data Engineer (Hadoop, ETL)
San Antonio, TX
San Antonio, TX
|San Antanio, TX, US||10 years|
Gathi Analytics is a relentlessly client focused group who builds ground-breaking data solutions for Smart Cities, Payment Services, Healthcare, Finance, and so much more. Gathi Analytics leverages proprietary frameworks and methodologies to deliver solutions faster, without compromising quality. We help our clients gain data insights they never thought possible and understand their data assets in ways they never could before. If this sounds like you, please read on.
We are looking for a savvy Data Engineer with Hadoop an Open source experience to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
Build a common framework for Reconciliation on Hadoop between discreet sources and target platforms. Design a common Data Quality and Reconciliation framework leveraging Hadoop and open source technologies of Spark/Python or Java. Build API’s for integration in the existing and new data pipelines.
If this role sounds like you, we invite you to apply. Our recruiting team will be in touch shortly with qualified candidates regarding next steps.
Gathi Analytics is an equal opportunity employer and provides opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity, marital status, age, genetic information, disability, veteran-status, or any other characteristic protected under applicable Federal, state, or local law.