Harnham

Process, refine, and validate data integrity for analytical purposes and Provide Tableau support, including training and access provisioning. Competence in designing, developing, and managing SQL-based ETL pipelines, utilizing tools like Airflow, dbt, or Databricks. Familiarity with cloud-based data warehouses (e.g., Snowflake, Google BigQuery, Amazon Redshift).. Experience with Google BigQuery.. Familiarity with Adobe Analytics, Google Analytics, or similar digital analytics tools.

business intelligence engineer

Senior Business Intelligence EngineerFully Remote1 Year Contract (possible extension)$60-$75/hr Are you extremely data savvy and have skills in data modeling, data visualization, and overall BI solutions? This opportunity will enhance your skills in dashboard building, ETL pipelines, and cloud-based warehousing. THE COMPANYWe are partnered with a large-name television streaming client that is highly profitable. If you come from a background in media or television, this is the role for you! Our client is looking for someone to design, develop, and support business intelligence solutions on a new and growing team. THE ROLE<ul><li>Develop, enhance, and optimize business intelligence solutions, encompassing data models, dashboards, and reports</li><li>Collaborate with cross-functional teams to ascertain requirements and ensure data solutions align with business objectives</li><li>Uphold data quality and integrity through the implementation of validation and monitoring processes</li><li>Construct and manage intricate SQL queries, including those utilized in ETL scripts</li><li>Institute and sustain best practices for the design, development, and maintenance of BI solutions</li><li>Address and resolve operational issues promptly, documenting, troubleshooting, and rectifying day-today data challenges</li><li>Process, refine, and validate data integrity for analytical purposes and Provide Tableau support, including training and access provisioning</li><li>Analyze extensive datasets to discern patterns and devise solutions</li></ul> YOUR SKILLS AND EXPERIENCEA successful BI Engineer within this role will likely have the following skills and experience:<ul><li>Over 4 years of experience in business intelligence development, encompassing data model design and BI dashboard development</li><li>High Proficiency in SQL</li><li>Competence in designing, developing, and managing SQL-based ETL pipelines, utilizing tools like Airflow, dbt, or Databricks</li><li>Proficiency in Tableau</li><li>Familiarity with cloud-based data warehouses (e.g., Snowflake, Google BigQuery, Amazon Redshift). Experience in gathering business requirements and crafting reporting solutions to translate large datasets into actionable insights for analysts and business users</li><li>Understanding of relational and dimensional database concepts, data modeling, data warehouse design, and data management</li><li>Strong written and verbal communication skills for conveying specifications, processes, and metadata to both technical and non-technical audiences</li><li>Robust organizational, prioritization, and planning abilities, capable of managing multiple projects collaboratively across diverse units</li><li>Sharp analytical and problem-solving skills with meticulous attention to detail</li></ul> NICE TO HAVE<ul><li>Bachelor's or master's degree in business, economics, computer science, information systems, statistics, or a related quantitative field.</li><li>Experience working with extensive and complex datasets generated by websites and mobile/TV applications.</li><li>Proficiency in Python.</li><li>Experience with Google BigQuery.</li><li>Familiarity with Adobe Analytics, Google Analytics, or similar digital analytics tools.</li><li>Experience with git and git providers such as Github, Bitbucket, Gitlab.</li></ul> HOW TO APPLYPlease register your interest by sending your resume to Fareeda Elsayed via the Apply link on this page.

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