Posted:11 hours ago| Platform: Foundit logo

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Job Description

  • Minimum 2 years experience of ETL tools and technologies like SSIS, Databricks, Azure Synapse Analytics, PySpark and Synapse Spark Pools
  • At least 2 years extensive experience on Azure Data Lake Storage Gen2 and Delta Lake.
  • Experience in data engineering and ETL development.
  • Hands on experience on Azure Data Factory, Synapse Pipelines, Databricks, Azure Data Lake, SSIS, SQL, PySpark, Synapse Spark Pools, SQL, ETL processes, Azure Data Lake Storage Gen2, Delta Lake, Azure Synapse Analytics as dedicated SQL Pool, Serverless SQL and Data Vault.
  • Expertise in ETL development, leadership in mentoring and grooming a team, and the ability to drive business discussions and translate complex business logic into effective data solutions.
  • Proven experience in designing, developing, and deploying ETL workflows and processes for high-volume, complex data environments.
  • Vast hands-on experience with high-performance data processing and data integration strategies.
  • Effective hands-on experience with Azure Data Factory including building and managing pipelines for large-scale ETL processes with very good knowledge in Data warehousing.
  • Advanced proficient in SQL including query optimization, complex data transformations and working with large datasets.
  • Experience in implementing complex business logic in ETL processes, including data validation, transformation, and enrichment.
  • Experience of cloud data storage solutions such as Azure SQL Database, Azure Data Lake and Azure Blob Storage.
  • Understanding of performance tuning, troubleshooting and optimizing ETL pipelines to manage high-volume data.
  • Outstanding knowledge in creating stored procedure, views and function etc.

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