Sr Specialist Data Engineering
2 weeks ago
:
AT&T's Chief Data Office (CDO) is harnessing data and making AT&T's data assets and ground-breaking AI functionality accessible to employees across the firm.
CDO also maintains academic and tech partnerships to cultivate the next generation of experts in statistics and machine learning, statistical computing, data visualization, text mining, time series modelling, data stream and database management, data quality and anomaly detection, data privacy, and more.
Responsible for the fundamental technology work of architecting/designing/building the core frameworks for our cloud-based system platforms and end to end solutions, including building cloud platform and performance components.
Strong knowledge on cloud platforms:Azure, AWS(Good to have)Strong Experience in Unix/Linux system, files systems and an added advantage to have shell scripting.
Working experience in deploying resources through IaaC such as Terraform, Operational Tool :
Ansible, Azure DevOps.
Proven work experience as a Cloud Administrator and Solutioning,Full life-cycle experience on strategizing Data Centre and Huge Data migration to Cloud.
Experience working in a Data Platform environment. Managing resources within a Data warehouse or a Datamart.Collaborate with critical stakeholders to understand business needs, priority, and the quality of services to be created or enhanced.
Makes high-level design choices and dictates technical standards, tools, and platformsMust understand systems engineering principles derived from in Data Engineering and Devops projectsGood to have Gen AI knowledgeProficient in Pyspark and SQ and ETL
- Expertise working in MongoDb, Snowflake, Databricks and cloud computing platforms (AWS, GCP or Azure), or equivalent on-premise platform and deploymentWeekly 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.
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