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 repositories ensuring 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.

AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws

We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status