Data Warehouse Engineer

3 weeks ago

Omaha, United States Apex Systems Full time

#2020001 Data warehouse Engineer

On-Site

100k-130k a years



Interested in this role You can find all the relevant information in the description below.

Data Warehouse and Data Governance Supervisor will, Set standards for database operations, programming, query processes, and security. Model, design, and construct large relational databases and data warehouses. Create and optimize data models for warehouse infrastructure and workflow. Integrate new systems with existing warehouse structure and refine system performance and functionality. In addition, they should have a proven track record of leading and supervising a team to develop and enforce data governance best practices.

III. RESPONSIBILITIES AND DUTIES

  • Data Warehouse Design and Implementation:
  • Designing and developing data warehouse solutions to support business intelligence and reporting needs.
  • Collaborating with business analysts and stakeholders to understand data requirements and translate them into technical specifications.
  • Extracting, transforming, and loading (ETL) data from various sources into the data warehouse using tools like Informatica, Talend, or SSIS.
  • Building and maintaining data models, schemas, and dimensional structures to optimize data storage and retrieval.
  • Writing complex SQL queries and stored procedures to extract and manipulate data for reporting and analysis purposes.
  • Monitoring and troubleshooting data warehouse performance issues, identifying bottlenecks, and implementing solutions.
  • Collaborating with database administrators to ensure proper configuration, backup, and recovery of the data warehouse.
  • Conducting data profiling and data analysis to identify data quality issues and recommend improvements.
  • Participating in data warehouse architecture design and providing input on technology selection and best practices.
  • Keeping up-to-date with industry trends and advancements in data warehousing technologies and methodologies.
  • Data Governance:
  • Develop and implement data governance policies and procedures to ensure data quality, integrity, and compliance with industry regulations.
  • Define and enforce data standards, metadata management, and data lineage.
  • Collaborate with business stakeholders to establish data ownership and stewardship.
  • Implementing data quality and data governance processes to ensure accuracy, consistency, and integrity of data in the warehouse.
  • Performance tuning and optimization of data warehouse processes and queries to improve overall system efficiency.
  • Monitor data usage and access to ensure compliance with data governance policies
  • Identify and address data quality issues
  • Develop and implement data governance best practices
  • Provide training and guidance on data governance policies and procedures
  • Collaborate with stakeholders to ensure data is used effectively
  • Monitor data security and privacy regulations
  • Perform data audits to ensure compliance with data governance policies
  • Supervisory and Leadership:
  • Lead a team of data engineers, providing mentorship, guidance, and support.
  • Foster a collaborative and innovative team culture focused on achieving data quality and reliability goals.

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