Databricks Developer

Tekskills Inc.; Dadri; Vor Ort; INR 1.200.000 - 1.800.000; Vollzeit

Zusammenfassung

Tekskills Inc. in India seeks a data engineer to design and build scalable data pipelines using Databricks, Spark, and Delta Lake.

You will implement Medallion architecture across Bronze, Silver, and Gold layers to enable analytics-ready data. Collaborate with data scientists, analysts, and business stakeholders, ensure data quality and security, and automate pipelines with monitoring and troubleshooting capabilities.

Qualifikationen

• Databricks Spark certification or equivalent experience.
• Strong Python/Scala skills for Spark development.
• Experience with Delta Lake and Spark DataFrame API.
• Proven migration experience from Cloudera to Databricks.
• Experience with data pipeline orchestration tools.

Aufgaben

• Design and implement scalable data pipelines using Databricks, Spark and Delta Lake.
• Ingest raw data into Bronze, process in Silver, and aggregate in Gold layers.
• Model data for efficient storage, retrieval and analytics.
• Enforce data quality and security throughout pipelines.
• Automate execution, monitor performance and troubleshoot issues.
• Collaborate with data scientists, analysts and business stakeholders.

Kenntnisse

Databricks Spark

Python/Scala for Spark

Delta Lake / DataFrame API

Cloudera to Databricks migration

Data pipeline orchestration

Data quality & security

Tools

Databricks Jobs

Airflow

Docker

Kubernetes

Jobbeschreibung

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