Lead Data Engineer

Deutsche Telekom Digital Labs • Python • SQL • 1 month ago
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Salary
≈ $30k – $68k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Staff · 7+ years exp
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Deutsche Telekom Digital Labs

DTDL (Digital Transformation and Data Analytics Solutions) is an Indian technology firm specializing in digital solutions, data management, and enterprise IT services. The company provides customized software development, cloud integration, and advanced analytics to help businesses optimize their operations and scale efficiently. Based in India, it serves as a digital transformation partner for organizations looking to leverage technology for business growth and modernization.
dtdl.in • HQ: Gurgaon, India • Information Technology • Telecommunications • Mobile Networks • 1001-5000 employees • Est. 2018

Looking for a hands-on Lead Data Engineer to build scalable data pipelines and data products using Data Mesh principles. This is a core engineering role involving end-to-end system design, development, and optimisation.

Responsibilities:

  • Build and maintain batch and real-time (streaming) data pipelines.
  • Develop domain-driven data products and ensure data quality and reliability.
  • Implement data contracts, governance, and observability.
  • Optimise query performance and cost.
  • Work closely with business and domain teams.

Requirements:

  • 7+ years in Data Engineering.
  • Strong SQL and Python.
  • Experience with data modelling (star schema, normalisation).
  • Hands-on with Apache Airflow (or similar).
  • Experience with large-scale data processing.

Streaming / Real-Time (Important):

  • Hands-on experience with real-time streaming pipelines.
  • Tools like Apache Kafka, Spark Streaming, or similar.
  • Understanding of event-driven architecture and Kappa architecture.

Tech Stack (Flexible):

  • Any Data Warehouse (Snowflake / BigQuery / Redshift, etc. )
  • Spark / PySpark.
  • dbt / Dataform or similar.
  • Object storage (S3 or similar).
  • Hands-on experience with AWS (S3 Redshift, EMR, Glue or similar services).

Good to Have:

  • Data Mesh / Data Product experience.
  • Strong ownership and independent working style.
  • Experience working with analysts/stakeholders.
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