A client in Phoenix, Arizona is currently looking for an experienced Data Engineer to join their growing team. This candidate will join a team of data engineers and analysts working to enhance the efficiency of the organization's HR systems.
Candidates for this position must be located in the greater Phoenix area, and able to work in a hybrid model.
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- 5+ years of hands-on software development experience with Big Data & Analytics solutions
- Hadoop Hive, Spark, Python, shell scripting, GCP Cloud - Big Query, Airflow, DataProc, PubSub
- Strong experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies.
- Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability.
- Design and development experience with Airflow, PubSub Kafka, Git, Jenkins is desirable.
- Knowledge of distributed (multi-tiered) systems, algorithms & relational databases.
- Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git).
- Ability and willingness to learn, adopt and build solutions using the Enterprise frameworks established for Big Data
- Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies.
- Certifications in cloud platform (GCP Professional Data Engineer) is a plus.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.