Our Client, a leader in commercial real estate and facilities/asset management is seeking to add a Data Engineer to its team. This role will work hybrid in Richardson, TX and works Monday-Friday 8am-5pm. This is a 1-year contract to hire role that pays $63 per hour. The key to this role is having a strong background in data engineering, with experience using Snap logic, snowflake, MuleSoft, and Azure. Upon conversion this role offers increased compensation, an annual bonus plan, and a strong benefit package.
Job Responsibilities:
- Design and implement automated data pipelines to collect, process, and transform raw data from various sources (databases, APIs, etc.) into usable formats.
- Handle data extraction from different sources, apply necessary transformations to ensure consistency and quality, and load it into data storage or analytical systems.
- Combine data from different sources to provide a comprehensive and unified dataset for analysis, reporting, or modeling.
- Address data issues in the platform; Troubleshooting data quality issues, data cleansing, bug fixing, monitoring
- Attend meetings with the team
- Participate in quantifying the work; task estimation, project tracking, reporting
- Data validating; accuracy checks, cross-validation, schema validation, testing, documentation
Required Skills:
- 5-10 years of relevant experience
- Bachelor's Degree in Computer Science or Application preferred
- Experience using Snap logic, snowflake, MuleSoft, Azure
- Strong attention to detail
- Great communication skills
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