Job Description:
Senior Data Engineer with solid background in data engineering tasks.
Knowledge of Python and databricks; creation of notebooks and pipelines
Integrating end-to-end data pipeline to take data from source systems to target data repositoriesensuring the quality and consistency of data is always maintained.
Good handle on SQL and experienced in design, Development and deployment processes
Familiarity with AT&T’s ECO platform is a plus
Creating/modifying Dockers and deploying them via Kubernetes
Knowledge on optimizing Databricks clusters for performance, scalability, and resource efficiency
Weekly Hours:
40
Time Type:
Regular
Location:
Bangalore, Karnataka, India
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.
Job ID R-21140 Date posted 05/08/2024