Location: Troy,MI, USA
HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you'll collaborate with experts. You'll join successful teams contributing to our clients' success. You'll work side by side with our clients and have long-term opportunities to advance your career with the latest emerging technologies.
At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks.
Data Engineer III Job Responsibilities:
Ability to work in a team environment that promotes collaboration.
Degree in Computer Science, Engineering, Mathematics, or a related field and 5+ years industry experience.
Must have three year of experience in the following skill(s): Developing and operating large-scale data structures for business intelligence using: ETL/ELT processes; OLAP technologies; data modeling; SQL;Python.
Experience with at least one relational database technology such as Redshift, Oracle, MySQL or MS SQL.
Experience with at least one massively parallel processing data technology such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution.
Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc).
Industry experience as a or related specialty (e.g., Software Engineer, Business Intelligence Engineer Data Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets.
Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc).
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
Experience building data products incrementally and integrating and managing datasets from multiple sources Query performance tuning skills using Unix profiling tools and SQL.
Experience building large-scale data warehouse projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies.
Proven ability to drive adoption of data engineering best practices in a team of engineers, and ability to mentor junior team members Linux/UNIX including to process large data sets.
Experience with AWS Ability to work on a diverse team or with a diverse range of coworkers.
Typical Years of Experience: 7+ years.