HYDERABAD · FULLTIME
Sr. Data Engineer
Tmobile
Hyderabad · onsite · Posted 58d ago
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Not disclosed5–9 yrsfulltimeHyderabad
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Section · 01
About this role
Requirements:
- 5-7 years of data engineering experience delivering production data products at enterprise scale.
- Hands-on experience with modern Lakehouse platforms (Delta Lake, Unity Catalog, PySpark, SQL); strong performance tuning and tiered data product design.
- Hands-on experience with cloud data warehousing (SQL, secure views, role-based access, warehouse optimization).
- Strong SQL fundamentals: query optimization, set-based transformations, reconciliation patterns, SCD Type 1 and Type 2
- Cloud data integration and orchestration experience (data integration platforms, event streaming, enterprise scheduling tools).
- Working understanding of Power BI and downstream consumption enough to design data products that reporting can actually use.
- Familiarity with Oracle ERP/EPM data flows and integration points (GL, sub-ledger accounting, AP, AR, CM, FA, Projects; FCCS, ARCS, EDMCS, EPRCS).
- Demonstrated ability to operate autonomously on production data products from intent through hypercare without day-to-day direction.
- Customer-minded engineering: builds with the downstream consumer and business outcome in mind; asks the right questions before writing code; uses sound judgment on speed vs. durability.
- Drives clarity in ambiguous surfaces, blocks early, names decisions, identifies owners, and proposes a path forward.
- Pragmatic, direct communication, clear and concise in writing and standups; able to explain technical decisions to non-engineers.
- Agile delivery experience (Jira, Confluence, CI/CD).
- Must-have skills: Azure Data Factory, Azure Databricks, Microsoft Fabric, Delta Lake, SQL, PySpark, Python, DBT (Data Build Tool), Medallion Architecture, Real-time Streaming Pipelines, Data Modelling, ETL/ELT Pipelines, Control-M, CI/CD, GITLAB.
Nice-to-Have:
- Kafka, Azure Event Hub, Deepio.
- Familiarity with Agile / Scrum.
- AI Tools (Claude, Copilot, etc. ) and AI/ML-ready data preparation.
- Familiarity with USGCI and SOX.
- Alteryx/Power BI.
- Background in finance, procurement, network infrastructure, or credit risk data domains.
Sourced from instahyre
Section · 02
Skills
DatabricksPysparkPythonData EngineerMicrosoft FabricData EngineeringSQLAzure Databricks
Section · Company
About Tmobile
Tmobile
1994
32 years old
Bellevue
United States
About
T-Mobile is a wireless telecommunications company that redefines the way consumers and businesses buy wireless services. The company is committed to transforming the way that consumers and businesses purchase and use wireless services by offering a range of flexible, affordable, and feature-rich plans. One of T-Mobile's key strategies is to challenge the traditional wireless carrier model by offering customers more choice and control over their wireless plans. The company has introduced a number of groundbreaking initiatives, including its "Un-carrier" program, which eliminates long-term contracts and provides customers with more transparent pricing and billing. T-Mobile has also invested heavily in expanding and improving its network coverage, which now covers more than 99% of the US population. The company's network has been recognized for its speed and reliability, and T-Mobile has received numerous awards for its wireless service quality. In addition to its consumer-focused offerings, T-Mobile has also developed a range of solutions designed to meet the needs of businesses of all sizes. These include wireless plans, mobile device management tools, and customized solutions for industries such as healthcare, transportation, and retail.