Posted:1 day ago|
Platform:
On-site
Full Time
Programming: Python
Big Data Processing: PySpark
Database: SQL
ETL Tools & Processes
Platform: Databricks
Design, develop, and maintain scalable data pipelines and ETL workflows.
Work with large datasets using PySpark for data transformation and processing.
Write and optimize SQL queries for data extraction, reporting, and analytics.
Implement data quality checks, validation, and monitoring mechanisms.
Collaborate with Data Scientists, Analysts, and Business stakeholders to deliver insights.
Develop and maintain solutions on Databricks for data integration and analytics.
Ensure compliance with data governance, security, and performance standards.
Troubleshoot data-related issues and optimize pipeline performance.
Minimum 5+ years of experience in Data Engineering.
Strong expertise in Python and PySpark for big data processing.
Proven ability to design and maintain ETL pipelines.
Proficiency in SQL and working with relational as well as NoSQL databases.
Hands-on experience with Databricks.
Good understanding of data modeling, data warehousing concepts, and distributed systems.
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Experience with cloud platforms (AWS, Azure, GCP).
Familiarity with Delta Lake, Apache Kafka, or similar technologies.
Exposure to Agile methodologies and DevOps practices.
Knowledge of data security, compliance, and governance frameworks.
Vitric Business Solutions Pvt. Ltd.
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