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Tech Stack
Tools & technologiesAzureCloudETLHadoopKafkaNoSQLPySparkScalaSparkSQL
About the role
Key responsibilities & impact- Designing, developing, and maintaining software applications that handle and process large volumes of data
- Collaborating with cross-functional teams to understand data requirements and develop software solutions that effectively integrate and utilize data
- Building and optimizing data models and databases for performance and efficiency
- Writing code to extract, transform, and load data from various sources into data warehouses or data lakes
- Implementing data quality checks and data governance processes to ensure data accuracy and consistency
- Troubleshooting and resolving software and data-related issues
- Working with big data technologies such as Hadoop, Spark, and Kafka
- Conducting performance testing and optimization of software applications that handle large datasets
Requirements
What you’ll need- 4+ years' work experience in the software engineering or data engineering domain
- Expert knowledge and experience working with Scala or PySpark
- Experience working with modern data pipeline orchestration tools to create complex ETL pipeline jobs
- Experience working with SQL and NoSQL database systems
- Experience in distributed system architecture design
- Experience with acquiring and preparing data from primary and secondary disparate data sources
- Experience with cloud environments (Azure Preferred)
- Experience working with Databricks
- Healthcare industry experience
Benefits
Comp & perks- Competitive benefits package
- Annual bonus plan at a target of 10.00%
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
software developmentdata modelingETLScalaPySparkSQLNoSQLperformance testingdata governancebig data technologies
Soft Skills
collaborationtroubleshootingproblem-solving
