Live opening · Posted 2 days ago
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About the role
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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
Strong 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
Work arrangement
No
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