Data Operations Engineer

If you're seeking a sense of community and the ability for growth, look no further. Since 1982, we have been 100% dedicated to our people. Our approach permits greater ownership for individuals and welcomes input into decisions for a thriving workplace and happy employees. Our people are the core reason for AIS' success. As an employee owned company, we are looking for individuals that are passionate about finding innovative solutions, and excited about emerging technologies and capabilities.

As aData Operations Engineer, you will use cutting-edge cloud and data technologies to help global brands and federal agencies solve challenging problems through innovative technology solutions. Work on exciting projects, future-proof your skills, and grow into your dream job alongside some of the most talented, knowledgeable, and dedicated technologists in the industry.

• Responsible for working with integration teams and source applications for pipelines failures related to bad data, data repairs or non availability of data

• Primary point of contacts for user queries and issues related to the data movement queries related to the pipelines being supported.

• Monitor the EDW production and non-production batch jobs

• Review any existing production support dashboards currently available

• Track and maintain support issues, open ADOs

• Review job logs, troubleshoot and triage job failures, identify resolution for failed instances

• Perform proactive monitoring activities to continually maintain and improve the knowledge base and runbooks

• Support system maintenance activities for known events (releases, maintenance, upgrades, etc.) and engage in planning activities for these events

• Follows communication plan with end-users and various stakeholders being supported as part of the Operations support

• Escalate issues in timely manner to source system teams, ETL senior devs, or partner teams (e.g. DBA, Pipeline, Infrastructure).

• Acknowledge and triage incidents as agreed in the MTTA/MTTR metrics with the stakeholders

• Experience in designing and optimizing ETL architectures

• Proficiency in Ab Initio and other ETL tools

• Strong skills in SQL, data modeling, and cloud technologies

• Experience in leading data engineering/migration engagements

• Expertise in performance tuning and optimizing data workflows

Applied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis covered by law. Employment decisions are based solely on qualifications, merit, and business need.