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Senior Data Lead

Senior Data Lead

Simarn SolutionsFremont, CA, US
15 hours ago
Job type
  • Full-time
Job description

Job Description

Job Description

Senior Data LeadLocation : Fremont, CaliforniaType : Contract 1099 Full-TimeJob Summary

The Senior Technical Lead will be responsible for leading the technical aspects of projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL / SQL, and Python. The role involves designing, developing, and maintaining data pipelines and ETL processes while ensuring high performance and scalability of data solutions.

Key Responsibilities

  • Lead the end-to-end technical implementation of data projects using azure data factory, Azure, Databricks, SQL, Oracle PL / SQL, and Python.
  • Design and develop efficient and reliable ETL processes for large datasets.
  • Collaborate with cross functional teams to understand business requirements and translate them into technical solutions.
  • Optimize data workflows, troubleshoot issues, and ensure data quality and integrity.
  • Implement best practices for data security, governance, and compliance.
  • Provide technical guidance, mentoring, and support to junior team members.
  • Stay current with the latest trends and technologies in data engineering and analytics.

Skill Requirements

  • Proficiency in azure data factory (ADF) and Azure Databricks for data integration and processing.
  • Strong skills in writing complex SQL queries for data manipulation and analysis.
  • Experience with Oracle PL / SQL for database development and management.
  • Proficient in python programming language for automation and scripting tasks.
  • Solid understanding of data warehousing concepts, ETL processes, and data modeling.
  • Ability to work in a fast-paced environment and manage multiple priorities effectively.
  • Excellent problem-solving skills and attention to detail.
  • Strong verbal and written communication skills that include professional interpersonal skills for effective collaboration with team members and stakeholders.
  • Certifications : Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle, or Python would be a plus.

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