Salary: $95000 – $130000 per Annum
Azure Data Engineer Fort Worth, Texas
We have an exciting opportunity for an Azure Data Engineer to work in a hybrid offsite/onsite model with one of our exciting clients. You will be responsible for design and implementation of data integration and data services across the enterprise. As part of the Enterprise Data & Analytics Team, you will have the opportunity to shape the culture of data integration practices based on the Enterprise Data and Analytics strategy and Data Governance outcomes. More specifically, you will collaborate with business stakeholders to develop an understanding of their business requirements and operational processes; lead the Implementation and act on the recommendations, outcomes and designs from Data Governance and Enterprise Architecture; develop ETL automation and integration capabilities to implement the data lifecycle, considering how data is created, transformed, stored, archived, analyzed and shared in the organization; provide mentorship to team members and citizen data developers; contribute to process for making data architecture decisions; complete data exploration and profiling by leveraging data analysis, design and presentation tools; lead the design, development, and maintenance of ongoing automation, integration, services, etc. to provide the right data to the right place at the right time; develop and implement automated solutions to optimize efficiency and quality of enterprise data and business processes; partner with Information Technology and business unit groups to develop and implement comprehensive automation and business critical data which will be leveraged for solutions that provide consistent, clean and integrated data which enables business intelligence; and, implement methods to include unstructured and big data, such as social media, emails, pictures, videos, voice and sensor data, client surveys and feedback.
This position requires 9+ years of applied experience in data integration, ETL, and data management, or comparable positions that handle large/complex data sets, developing automation, and fostering business partner relationships with the most recent 3-5 years in Azure cloud data engineering. Must be an expert in all varieties of SQL with emphasis on T-SQL, PL/SQL, Spark SQL. Strong background with ETL tools such as SSIS, Azure Data Factory, Data Bricks, Python/PySpark are essential. Must be proficient in data management practices, data architecture principles, and data governance process; data mapping and lineage strategies; and, conceptual, logical and physical data design. Familiarity with data science and analytics tools such as SPSS, SAS, Tableau, PowerBI is needed. Expert knowledge in transforming manual processes to industry standards and automation required. Certifications within Azure (Azure Fundamentals, Azure Data Engineer) strongly desired. Preferred skills include: certifications related to Data Integration; additional Cloud Data certifications (DataBricks, Delta Lake, Spark); applied experience in Agile, SAFe, Scrum or Lean Six Sigma; and, experience and Certifications within Salesforce. Familiarity with object-oriented programming and the software development process needed. Excellent written communication and presentation skills are a must. Ability to quickly adapt to changing priorities and generate innovative solutions is essential. BS preferred; MBA or MS or equivalent a plus.
Desired Skills: Data Integration, ETL, Data Management, Data Engineering, SQL, T-SQL, PL/SQL, Spark SQL, SSIS, Azure Data Factory, Data Bricks, Python, PySpark, Data Architecture, Data Governance, Data Mapping, Conceptual Data Design, Logical Data Design, Physical Data Design, Analytics, SPSS, SAS, Tableau, PowerBI, Azure, DataBricks, Delta Lake, Spark, Agile, SAFe, Scrum, Lean Six Sigma, Salesforce.