Description : *Data AnalystCore skills needed : High level experience with SQL Python proficiency analyzing complex and massive timeseries datasetsFamiliarity with data pipelining (ETL, Airflow)Timescale DB hyperfunctions (or related) Prior experience working with SharePoint administration, SQL Server and CohesityCloud Platforms such as Azure, AWS and GCP.
Preferably prior experience in a production or manufacturing related field
- Design and develop technical solutions to satisfy complex requirements.
- Investigates and resolves complex application and system technical problems and production issues through troubleshooting techniques.
- Continually improves operations and infrastructure by conducting complex systems analysis and recommending changes in policies, procedures or computing components.
- Follows written risk and compliance policies, standards, and procedures for business activities.
- Identifies and manages existing and emerging risks that stem from business activities and the job role.*Skills : *cohesity, IaaS, AWS, sharepoint, etl, airflow, timescale DB, hyperfunctions, Python*Top Skills Details : *cohesity,IaaS,AWS,sharepoint,etl,airflow,timescale DB,hyperfunctions,Python*Additional Skills & Qualifications : *Highly motivated, professionalism, desire to serve, continuous learner, great attitude, team player.
Willing to be flexible and creative and take ownership to solve highly complex IT problems.*Experience Level : *Expert Level About TEKsystems : We're partners in transformation.
We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia.
As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change.
That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
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