EDZ Systems is seeking a team-oriented Data Engineer with a strong understanding of delivering software using Agile/DevOps methodologies. The role involves implementing data products, ensuring data pipelines are scalable and secure, and participating in the design and development of large-scale technology solutions.
Responsibilities:
- Collects, cleanses, analyzes, and validates data prior to it being stored in application databases for final use by the organization and/or its clients. Constructs and applies standard statistical analysis and/or models to verify data acceptability/accuracy
- Configures, operates, and develops manual and/or automated methods, processes, and procedures to test output or input based on data compliance, quality and use requirements as established by product management, client specifications, and governance programs
- Ensures data integrity by implementing quality assurance practices. Plans, designs, develops, and performs quality assessments on data elements and structures to document and evaluate integrity, completeness, quality, and appropriateness of formats, records, and structures. Gathers and enters missing data and resolves any anomalies
- Performs regular and ad hoc reviews, audits, and investigations of data activity and integrity; prepares reports and summaries of findings
- Produces, updates and implements guidelines and documentation of policies, processes, procedures, and standards
- Identifies areas of improvement in data collection processes or systems and make recommendations to correct any deficiencies
- Works on Extract, Transform, and Load (ETL) processes/projects, individually or as part of or in conjunction with a database/data warehouse team
- Partners with customers in the development of innovative solutions that achieve business goals
- Reviews and analyzes business and technical requirements and implements technical solutions to meet those requirements
Requirements:
- Typically requires at least 3-15 years of relevant experience, depending on the level
- Bachelor's degree specializing in STEM (Science, Technology, Engineering, Mathematics), or a closely related field, from an accredited college or university, or equivalent combination of directly related education and/or experience
- Recent accomplishments in developing and analyzing complex SQL on a variety of relational databases (PostgreSQL, MySQL) for data querying and manipulation
- Advanced data analytics experience for designing, developing, and maintaining the Tableau dashboards and reports that align with business requirements
- Experience using core AWS services to build and support data warehouse solutions leveraging AWS architecture best practices
- Proven ability to use GitLab for creating a project, cloning a repository, creating a branch, staging, committing and pushing changes
- Knowledge of AWS Cloud deployments and processes
- Senior understanding of subject. Has in-depth and/or breadth of knowledge in discipline
- Performs work independently with limited supervision and direction. Serves as a resource for less experienced staff