Job Description:
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.
- Flexible 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.
JobCategory:BigData
