Company: Deutsche Telekom Digital Labs, Gurgaon

Deutsche Telekom Digital Labs is the captive technology unit of Deutsche Telekom, building scalable digital platforms and products for customers across Europe.

Role: Data Engineer II – GCP Data Platform

Objective of the Role

We are looking for ahands-on Data Engineer II with strong Google Cloud Platform experienceto build scalable data pipelines, transformations and reusable data-platform capabilities.

You will work acrossData Engineering and Data Platform Engineering, independently delivering production-grade data products while contributing reusable components and engineering patterns that can be adopted across multiple teams and use cases.

The role requires strong hands-on development skills and the ability to take a solution from design through implementation, testing, deployment and production support.

You Will

- Design, develop and maintain production-grade data pipelines onGoogle Cloud Platform.

- Build scalablebatch and incremental data-processing solutions.

- Develop complex transformations usingBigQuery, SQL and Dataform / dbt.

- Build and maintain data-processing workflows usingCloud Composer / Apache Airflow.

- Develop reusable transformation components, orchestration patterns, libraries and templates.

- Implement metadata-driven and configuration-driven processing where appropriate.

- Build distributed data-processing solutions usingDataflow / Apache Beam and/or Dataproc / Spark.

- Design data models for analytical and downstream data-product requirements.

- Implement incremental and idempotent processing patterns.

- Define and maintain schemas and data contracts.

- Implement automated data-quality checks, validation and reconciliation.

- Capture and integrate metadata and lineage into data-processing workflows.

- Optimise BigQuery queries and pipelines for performance and cloud cost.

- Implement automated testing and integrate data workloads with CI/CD pipelines.

- Build monitoring and operational controls for production pipelines.

- Troubleshoot production issues and perform root-cause analysis.

- Contribute to reusable data-platform capabilities and engineering standards.





- Collaborate with Data Engineers, Platform Engineers, DevOps, Architects and business stakeholders.

You Must Have
- 4+ years of hands-on Data Engineering experiencebuilding production data solutions.

- Strong practical experience withGoogle Cloud Platform (GCP).

- Strong hands-on experience withBigQuery.

- AdvancedSQLskills including complex joins, CTEs, window functions and query tuning.

- StrongPythondevelopment skills for data processing, automation and testing.

- Experience developing productionETL / ELT pipelines.

- Hands-on experience withCloud Composer / Apache Airflow.

- Experience withDataform and/or dbt.

- Experience designing batch and incremental processing pipelines.

- Experience withDataflow / Apache Beam or Dataproc / Spark / PySpark.

- Strong understanding of data modelling, including normalization, denormalization and dimensional modelling.

- Experience working with large-scale datasets.

- Experience with incremental and idempotent pipeline patterns.

- Understanding of data contracts and schema evolution.

- Experience implementing data-quality validation and reconciliation.

- Understanding of metadata and data lineage.

- Experience withGit, automated testing and CI/CD.

- Experience troubleshooting and supporting production data pipelines.

- Ability to independently design solutions rather than only implement predefined specifications.

Technical Skills

Cloud & Storage

- Google Cloud Platform

- BigQuery

- Google Cloud Storage

Transformation & Orchestration
- Advanced SQL

- Dataform / dbt

- Cloud Composer / Apache Airflow

Data Processing
- Dataflow / Apache Beam

- Dataproc / Spark / PySpark

Programming & Engineering
- Python

- Git

- Automated testing

- CI/CD

- Monitoring and troubleshooting





Data Engineering Capabilities
- ETL / ELT

- Batch processing

- Incremental and idempotent pipelines

- Data modelling

- Data contracts

- Data quality and reconciliation

- Metadata and lineage

- Query performance optimisation

- Cloud-cost optimisation

- Reusable data-platform components

Good to Have
- Experience withApache Icebergor modern lakehouse table formats.

- Experience with streaming or event-driven processing.

- Practical understanding ofData Product / Data Mesh principles.

- Experience with metadata-driven or configuration-driven processing.

- Experience with Change Data Capture.

- Familiarity withTerraform / Infrastructure as Code.

- Experience building reusable components used by multiple engineering teams.

Strong Interpersonal Skills
- Strong ownership mindset and ability to take engineering work through production.

- Solid analytical, debugging and problem-solving skills.

- Ability to communicate technical decisions clearly.

- Comfortable participating in design and code reviews.

- Ability to collaborate with engineering and business stakeholders.

- Ability to work independently while seeking guidance for complex architectural decisions.

- Comfortable working within distributed and multicultural teams.

Deutsche Telekom is one of the world's leading integrated telecommunications companies, with some 252 million mobile customers, 25 million fixed-network lines, and 22 million broadband lines. Deutsche Telekom is present in more than 50 countries. With a staff of some 200,000 (Dec 31, 2023) employees throughout the world, we generated revenue of 111,9 billion Euros in the 2023 financial year. As of 2023, It is rated as the 9th most valuable brand in the world.

Deutsche Telekom Digital Labs is the digital powerhouse that fuels Deutsche Telekom’s vision to be a “Leading Digital Telco”. We create compelling digital propositions for the worlds’ largest Telekom giant by building scalable, agile and innovative platforms to provide the best of digital experience to Deutsche Telekom customers across Europe and US.

📌 Data Engineer -II (Gurugram)
🏢 Deutsche Telekom Digital Labs
📍 Gurugram