
location_onNorth 3rd Street, Central City, Phoenix, Maricopa County, Arizona, 85004, United States
We are seeking a highly skilled and motivated Lead Data Engineer to join our team at a client site in Arizona, US. This role is pivotal in designing, building, and maintaining scalable data pipelines that ensure the availability and reliability of data for critical analytics and reporting. The successful candidate will bridge the gap between complex data architecture and actionable business insights, with a particular emphasis on Power BI and SQL.
In this position, you will not only develop robust data ingestion and transformation workflows but also mentor junior engineers in best practices. You will collaborate closely with cross-functional teams to understand evolving data requirements and deliver solutions that drive business success. The role demands a deep understanding of data modeling, ETL processes, and database optimization, ensuring that data quality checks and monitoring processes are seamlessly integrated into daily operations.
Join our dynamic team as we leverage data to drive business success. We value a culture of continuous learning and innovation, where staying updated with the latest industry trends in data engineering and analytics is encouraged. Our mission is to empower organizations through robust data solutions, and we are looking for individuals who are passionate about transforming raw data into strategic assets.
Interested candidates are encouraged to apply directly. The selection process typically involves an initial review of qualifications, followed by technical assessments and interviews to evaluate both technical expertise and cultural fit. We are committed to finding the right talent to contribute to our ongoing projects and growth.
Mphasis is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and applicants.
Work model: On-site
North 3rd Street, Central City, Phoenix, Maricopa County, Arizona, 85004, United States
Phoenix, Arizona
Familiarity with cloud data platforms (e.g., AWS, Azure, Google Cloud). Experience with programming languages such as Python or R for data manipulation. Knowledge of big data technologies (e.g., Hadoop, Spark). Understanding of data governance and compliance standards. Experience with version control systems (e.g., Git).
Skills: Power Bi, SQL, Data Warehousing, Etl, Data Modeling, Database Design, Aws, Azure, Google Cloud, Python.
Education: Bachelor's degree in Computer Science, Information Technology, or a related field required.