Greetings from Pineswift!!

We have a few open requirements for Data Englineers. Below are the details:

Key Responsibilities

- Develop data ingestion and transformation pipelines using Databricks, PySpark, Python and SQL.
- Integrate data from multiple sources and prepare datasets for reporting, analytics and machine-learning use cases.
- Build reusable transformation components and analytical data models.
- Implement data-quality checks, reconciliation, exception handling and pipeline monitoring.
- Optimize Spark workloads for performance, reliability and cost.
- Apply data security, access controls, lineage and documentation standards.
- Support automated deployment, production troubleshooting and ongoing pipeline maintenance.




- Translate banking business requirements into sustainable data solutions.

Required Skills & Experience

- Solid hands-on experience with Databricks and PySpark
- Proficiency in Python and SQL
- Experience building ETL/ELT pipelines and working with Data Lake
- Understanding of distributed processing, workflow orchestration and performance tuning
- Working knowledge of the banking domain, including banking data and metrics
- Understanding of data-quality requirements, including validation, completeness, accuracy and consistency

📌 Data Engineer-Databricks & Pyspark (Gurugram)
🏢 Pineswift Technologies
📍 Gurugram