Azure Data Engineer

Job Title: Azure Data Engineer

Location: Spring Texas (On-Site), Houston, TX only

Experience: 10+ Years

• Perform ETL, ELT operations and administration using modern tools, programming languages and systems securely and in accordance with enterprise data standards.
• Assemble, model, transform large complex sets of data that meet non-functional and functional business requirements into a format that can be analyzed.
• Automate data processing of data from multiple data sources.
• Develop, deploy and version control code for data consumption, reuse for APIs.
• Employ machine learning techniques to create and sustain data structures.
• Perform root cause analysis on external and internal processes and data to identify opportunity for improvement, resolve data quality issues.
• Lead data-related workshops with stakeholders to capture data requirements and acceptance criteria.

• Minimum bachelor’s degree in:
  Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience.
• 5 or more years performing duties related to data engineering.
• Advanced English level.
• Expert proficiency in at least one of these programming languages:
  Python, No
  
  SQL, SQL, R, and competent in source code management.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Create data validation methods and data analysis tools.

• Excellent problem-solving skills and ability to learn through scattered resources.
• Automate routine tasks via scripts, code.
• Capacity to successfully manage a pipeline of duties with minimal supervision.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Modify existing reports, extracts, dashboards, and cubes as necessary.
• Commitment to operations integrity and ability to hold self and others accountable for results.

• Advanced
• SQL
• Snowflake
• Tamr
• Python
• Git Hub
• Intermediate
• Databricks
• Airflow