Posted on: 27/07/2025



About Position :
We are looking for Spark Scala developer with hands on experience on ETL, Azure Databricks.
Role : Spark Scala Developer
Location : All Persistent Locations
Experience : 8+ Years
Job Type : Full Time Employment
What You'll Do :
- Design and Development : Design and develop scalable data processing applications using Apache Spark and Scala.
- Data Processing : Develop Spark jobs to process large datasets, including data ingestion, transformation, and aggregation.
- Data Pipeline Development : Build and maintain data pipelines using Spark, Scala, and other related technologies.
- Data Quality : Ensure data quality and integrity by implementing data validation, data cleansing, and data normalization techniques.
- Performance Optimization : Optimize Spark jobs for performance, scalability, and reliability.
- Troubleshooting : Troubleshoot and resolve technical issues related to Spark and Scala applications.
Expertise You'll Bring :
- Minimum 8 years experience of Data Engineering
- Experience in ETL/Pipeline Development using tools such as Azure Databricks/Apache Spark and Azure DataFactory with development expertise on batch and real-time data integration
- Experience in programming using Scala or Python
- Experience in writing the Store Procedures
- Experience in data ingestion, preparation, integration and operationalization techniques in optimally addressing the data requirements
- Experience in Cloud data warehouse like Azure Synapse, Snowflake analytical warehouse
- Experience with Orchestration tools, Azure DevOps and GitHub
- Experience in building end to end architecture for Data Lakes, Data Warehouses and Data Marts
- Experience in relational data processing technology like MS SQL, Delta lake, Spark SQL
- Experience to own end-to-end development, including coding, testing, debugging and deployment
- Extensive knowledge of ETL and Data Warehousing concepts, strategies, methodologies.
- Ability to provide solutions that are forward-thinking in data and analytics
- Must be team oriented with strong collaboration, prioritization, and adaptability skills required
- Excellent written and verbal communication skills including presentation skills
- Familiarity with Azure services like Azure functions, Azure Data Lake Store, Azure Cosmos
- Familiarity with Healthcare business data models
Benefits :
- Competitive salary and benefits package
- Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
- Opportunity to work with cutting-edge technologies
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
- Annual health check-ups
- Insurance coverage : group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
At Persistent, we are committed to unleashing full potential of every team member - helping them accelerate their professional growth while impacting the world in powerful, positive ways using the latest technologies....
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Posted By
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1520069
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