Databricks Developer

Tekskills Inc.

Delhi

Presencial

INR 1.800.000 - 3.200.000

A tiempo parcial

Hace 10 días

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Descripción de la vacante

Tekskills Inc. is seeking a Data Engineer to architect and implement scalable data pipelines using Databricks, Spark, and Delta Lake. The role focuses on Bronze-Silver-Gold data layers, data modeling, and ensuring data quality and security across the pipeline.

You will collaborate with data scientists, analysts, and business stakeholders to deliver analytics-ready data and reliable data products in a fast-paced environment.

Formación

  • Experience designing and deploying scalable data pipelines on Databricks and Spark.
  • Strong Python/Scala for Spark development.
  • Experience with Delta Lake and Spark DataFrame API.
  • Experience migrating from Cloudera to Databricks.
  • Implement data quality and security practices.

Responsabilidades

  • Design and implement scalable data pipelines.
  • Ingest data into Bronze, Silver, Gold with Medallion Architecture.
  • Model data for analytics and business insights.
  • Ensure data quality and security throughout pipelines.
  • Automate, monitor, and troubleshoot pipelines.
  • Collaborate with data scientists and stakeholders.

Conocimientos

Databricks Spark cert
Python/Scala for Spark
Delta Lake & DataFrame
Cloudera to Databricks migration
Data pipeline orchestration
Data quality & security

Herramientas

Databricks Jobs
Airflow

Descripción del empleo

Job Description
  • Data Pipeline Design: Architect and implement scalable, reliable data pipelines using Databricks, Spark, and Delta Lake
  • Medallion Architecture Implementation: Ingest raw data into the Bronze layer, process and clean it in the Silver layer, and aggregate/transform it for analytics in the Gold layer
  • Data Modeling: Design and optimize data models for efficient storage, retrieval, and analytics
  • Data Quality & Security: Implement data validation, quality checks, and security controls throughout the pipeline
  • Automation & Monitoring: Automate pipeline execution, monitor performance, and troubleshoot issues
  • Collaboration: Work closely with data scientists, analysts, and business stakeholders to deliver high-quality, analytics-ready data
Essential Skills
  • Databricks Certified Associate Developer for Apache Spark (or equivalent)
  • Strong Python/Scala for Spark development
  • Experience with Delta Lake and Spark DataFrame API
  • Proven experience migrating from Cloudera to Databricks
  • Data pipeline orchestration (Databricks Jobs, Airflow, etc.)
  • Data quality and security best practices
Desirable Skills
  • Databricks Certified Data Engineer Associate
  • SQL and advanced query optimization
  • Cloud platforms (Azure, AWS, GCP)
  • Real-time/streaming data processing (Spark Structured Streaming)
  • DevOps/MLOps (CI/CD, Docker, Kubernetes)
  • Experience with data governance and lineage tools
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