Key Players in Data Engineering

1 week ago

Pune, Maharashtra, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title

We are seeking a skilled Data Engineer to join our team.

  • Design and develop scalable data processing applications using Apache Spark and Scala.
  • Develop Spark jobs to process large datasets, including data ingestion, transformation, and aggregation.
  • Build and maintain data pipelines using Spark, Scala, and other related technologies.
  • Ensure data quality and integrity by implementing data validation, data cleansing, and data normalization techniques.
  • Optimize Spark jobs for performance, scalability, and reliability.
  • Troubleshoot and resolve technical issues related to Spark and Scala applications.
Requirements
  • 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.

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