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Senior Data Engineer

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Onsite

Senior Data Engineer

Wishlink

Senior Data Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringDockerPythonKafkaDatabricksData AnalysisAWSKubernetesPySparkApache AirflowPower BI

2 months ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

17 August 2026

What they need


Data Engineer (3 - 4 Years)

Responsibilities

  • Watch Reels and YouTube videos every day level up on your fashion sense!
  • This is a hands-on engineering role where you will actively build and write production code - not just manage or delegate.
  • Design, build, and maintain scalable batch and near real-time data pipelines.
  • Develop ETL/ELT pipelines using Python, SQL, and Spark/PySpark on Databricks.
  • Build Bronze, Silver, and Gold data models using a Lakehouse (Medallion) architecture.
  • Optimize Spark jobs for performance, scalability, and cost.
  • Work with structured and semi-structured datasets from multiple sources.
  • Develop reusable, production-ready data engineering frameworks.
  • Own data quality, monitoring, and pipeline reliability as measurable outcomes.
  • Collaborate closely with Product, Analytics, and Business teams.
  • Participate in code reviews and production support.
  • Navigate our current stack: Spark, Databricks, Delta Lake (Medallion architecture), BigQuery, Airbyte, and Power BI.

Requirements

  • If you are a content creator yourself or have worked closely in the social media space, we like you already :)
  • 3+ years of professional experience in Data Engineering, with a strong software engineering foundation.
  • Strong SQL skills (joins, CTEs, window functions, query optimization).
  • Hands-on Python programming skills.
  • Hands-on experience with Apache Spark / PySpark / Databricks.
  • Solid knowledge of data warehousing and data modeling.
  • Experience with ETL/ELT and incremental data processing.
  • Experience with the AWS or GCP cloud ecosystem.
  • Strong communication skills - you can translate between data engineering and business/analytics stakeholders.

Good to Have

  • Airbyte, Kafka, or CDC concepts.
  • Delta Lake or Apache Iceberg.
  • Airflow or Databricks Workflows.
  • Docker / Kubernetes.
  • Performance tuning and partitioning strategies.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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