Overall Purpose This position will manage a team of 10 data engineers and interact on a consistent basis with other developers architects data product owners and source systems This position requires multifaceted candidates who have experience in data engineering data analysis visualization good hands-on experience PySpark Databricks and in Azure Cloud Platform Services Key Roles and Responsibilities Build end-to-end data business intelligence solutions This includes data extraction ETL processes applied on data to derive useful business insights and best representing this data through dashboards Write complex SQL queries used to transform data using Python Unix shell scripting Understand business requirements and create visual reports and dashboards using Power BI or Tableau Upskill to different technologies understand existing products and programs in place Work with other development and operations teams Adaptable with shifts and occasional weekend support Key Competencies Full life-cycle experience on enterprise software development projects Experience in relational databases data marts data warehouses and complex SQL programming Extensive experience in ETL shell or python scripting data modelling analysis and preparation Experience in Unix Linux system files systems shell scripting Extensive knowledge in Python PySpark Databricks Azure Cloud Platform Services Good to have experience in BI Reporting tools - Power BI or Tableau Good problem-solving and analytical skills used to resolve technical problems Must possess a good understanding of business requirements and IT strategies Experience in presentation design development delivery and good communication skills to present analytical results and recommendations for action-oriented data driven decisions and associated operational and financial impacts Experience in managing a team of 10 or more is involved in appraisal and rating process Required Desired Skills Cloud Platforms - Azure Databricks Deltalake Required 5-6 years SQL Programming Python PySpark ETL Required 8 Years Unix Linux shell scripting Required 6-8 years RDBMS and Data Warehousing Required 8 Years Iceberg enablement Desired 2-3 years Managed a team for 2 years Snowflake Power BI Tableau Good to have Weekly Hours 40 Time Type Regular Location IND AP Hyderabad Argus Bldg 4f 5f Sattva Knowledge City- Adm Argus Building Sattva Knowledge City 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 is a fair chance employer and does not initiate a background check until an offer is made