This role is for one of the Weekday's clients

Min Experience: 5 years

Location: Bengaluru, NCR, Delhi

JobType: full-time

Key Responsibilities

- Design, develop, and optimize scalable data pipelines using PySpark and SQL.
- Build and maintain ETL/ELT workflows for ingesting, transforming, and loading data from multiple sources.
- Develop data solutions using the Databricks platform.
- Work with cloud services, preferably Microsoft Azure, to implement data engineering solutions.
- Optimize data processing performance and ensure data quality, reliability, and governance.
- Collaborate with data analysts, data scientists, and business teams to deliver high-quality data products.
- Implement best practices for data modeling, data pipeline orchestration, and performance tuning.
- Monitor, troubleshoot, and improve existing data pipelines and workflows.

Required Skills

- Strong hands-on experience with PySpark and SQL.




- Experience developing ETL/ELT pipelines for large-scale data processing.
- Hands-on experience with Databricks.
- Experience with cloud platforms, preferably Microsoft Azure.
- Knowledge of distributed data processing frameworks such as Apache Spark.
- Experience working with data lakes, data warehouses, and big data ecosystems.
- Understanding of data pipeline orchestration tools.
- Solid problem-solving and performance optimization skills.

Preferred Qualifications

- Experience with Azure Data Factory or similar orchestration tools.
- Knowledge of Delta Lake architecture.
- Experience with CI/CD and version control tools like Git.
- Familiarity with data governance and data quality frameworks.

Skills

PySpark

SQL

ETL

Databricks

📌 Sr. Data Engineer (Delhi)
🏢 Important Business
📍 Delhi