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Data Engineer - Azure Databricks
Data Engineer - Azure DatabricksRisk Resources LLP • Bhubaneshwar
Data Engineer - Azure Databricks

Data Engineer - Azure Databricks

Risk Resources LLP • Bhubaneshwar
8 days ago
Job description

Desired Competencies (Technical / Behavioral Competency) :

Must-Have : ETL Knowledge, SQL Programming, Azure, : Python of / Expectations from the Role :

  • Should have experience in database / ETL concepts & testing
  • Should have experience in understanding business requirements and translating them (writing) and resolving

complex sql queries.

  • Should be able to write new code (SQL / java / python / excel macro) to compare two tables, create test scenario / test data
  • Experience working with Cloud (Azure,AWS)
  • Experience in handling semi structure data like csv, json, text
  • Ability to influence and negotiate with others to meet project deadlines without compromising quality
  • Should be very strong in writing SQL queries using complex data types
  • Should be able to create testcases, scenarios, test-plan, test scripts
  • Should have basic knowledge in Selenium using TestNG or BDD :
  • Design, develop, and test ETL processes, data pipelines, and data solutions using Azure, Databricks, and SQL.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
  • Develop and maintain complex SQL queries, data models, and data visualizations.
  • Write new code (SQL, Java, Python, Excel macro) to compare two tables, create test scenarios, and test data.
  • Work with semi-structured data (CSV, JSON, text) and cloud-based data platforms (Azure, AWS).
  • Create test cases, scenarios, test plans, and test scripts.
  • Participate in agile development methodologies and collaborate with team members to meet project :
  • 3+ years of experience in ETL development, with focus on Azure, Databricks, and SQL.
  • Strong knowledge of ETL concepts, data warehousing, and data integration.
  • Proficiency in SQL programming, including complex queries and data modeling.
  • Experience with Azure, Databricks, and cloud-based data platforms.
  • Ability to write clear and concise technical documents.
  • (ref : hirist.tech)

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