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Middle/Senior Data Engineer/ETL Developer (ID:1293) in Infopulse

Posted more than 30 days ago

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Infopulse

Infopulse

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28 серпня 2024 Middle/Senior Data Engineer/ETL Developer (ID:1293) віддалено Infopulse, part of Tietoevry Create , is inviting a talented professional to join our growing team as a  Data Engineer/ETL Developer . Our customer is one of the Big Four companies providing audit, tax, consulting, and financial advisory services. Areas of Responsibilit y Design, develop, and maintain ETL processes to support data integration and reporting requirements Work with Databricks, PySpark (S

28 серпня 2024

Middle/Senior Data Engineer/ETL Developer (ID:1293)

віддалено

Infopulse, part of Tietoevry Create , is inviting a talented professional to join our growing team as a  Data Engineer/ETL Developer . Our customer is one of the Big Four companies providing audit, tax, consulting, and financial advisory services.

Areas of Responsibilit y

  • Design, develop, and maintain ETL processes to support data integration and reporting requirements
  • Work with Databricks, PySpark (Scala or Python) to create scalable and efficient data pipelines
  • Utilize Azure Data Factory for orchestrating and automating data movement and transformation
  • Write, optimize, and troubleshoot complex SQL queries for data extraction, transformation, and loading
  • Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions
  • Monitor and ensure the performance, reliability, and scalability of ETL processes

Qualifications

  • 3+ years of experience in ETL development or data engineering roles
  • Strong experience with Databricks and Spark / Python
  • Proficiency in Azure Data Factory and Azure Synapse
  • Advanced SQL skills, including query optimization and performance tuning
  • Solid understanding of data warehousing concepts and best practices
  • Strong problem-solving skills and attention to detail
  • Excellent communication skills with the ability to work collaboratively in a team environment

Will be an advantage

  • Experience with cloud data platforms (e.g., Azure, AWS)
  • Familiarity with data governance and security practices
  • Experience with version control systems like Git

Without experience
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