Data Engineer Operations Position
3 weeks ago
DMI is a leading global provider of digital services working at the intersection of public and private sectors. With broad capabilities across IT managed services, cybersecurity, cloud migration, and application development, DMI provides on-site and remote support to clients within governments, healthcare, financial services, transportation, manufacturing, and other critical infrastructure sectors.
About the Opportunity
DMI seeks a full-time Data Engineer Operations to support manufacturing clients' large-scale digital transformation. This role will work within a three-to-four person team ensuring day-to-day operations of data platforms run smoothly.
Key Responsibilities:
- Work with a distributed data operations team with a focus on data sourcing, availability, timeliness, and reliability.
- Participate in monitoring and alerting of data issues and their resolution, including identifying areas for improvement.
- Proactively troubleshoot data availability issues and escalate with internal teams or partners to drive timely issue resolution while collaborating closely with stakeholders.
- Manage data sourcing connections and data pipeline orchestration related operational tasks.
- Monitor, update, and track all tasks through the ServiceNow platform in a timely and responsive manner.
- Plan for and lead ongoing initiatives with data sourcing partners to increase operational efficiency.
- Support compliance with best practices related to data availability and security procedures.
- Apply proven communication and problem-solving skills to resolve support data issues as they arise.
- Participate in design and upcoming release discussions with development teams to ensure impact on users is clearly understood and operational knowledge is built.
Qualifications
Education and Experience:
- 2+ years of experience in an operational role dealing with data management, data integration, or similar activities and/or responsibilities.
- Bachelor's Degree and/or relevant field or equivalent experience.
Preferred Skills/Certifications:
- Strong analytical and problem-solving skills - Ability to determine data patterns and perform root cause analysis to resolve production reporting bugs.
- Familiarity with the data, analytics, and BI space and knowledge of Power BI.
- Experience working with Microsoft data integration platforms such as Azure Data Factory, SSIS, Synapse.
- Strong experience with SQL (Python experience a plus).
- Familiarity with Azure DevOps for source code management a plus.
- Understanding of data management (e.g., permissions, security, and monitoring).
- Experience working with and building strong relationships with customers and external partners.
- Excellent written and verbal communication skills, including logical structuring and delivering presentations.
- Knowledge of working with helpdesk tools or platforms like ServiceNow is a plus.
- Experience with cloud services is a plus (Azure) is a plus.
- Experience in working with and managing offshore resources is desirable.
- Eagerness to learn and think critically to design improved processes.
Preferred Experience with:
- Estimating and Planning
- Work breakdown for the team
- Data pipelines
- Data Transformations
- Code/Unit Test
- PR & Code Reviews
- Performance & Load Testing
- Functional & Regression Testing
- Tier 2 support/consulting
- Production Support
- Functional ask to technical design
- Data Engineering
- Agile Methodologies
- CI/CD
- Metadata driven frameworks
- Technical documentation
- Azure Synapse Spark
- Python
- Complex SQL
- Parquet & Delta file processing
- ETL Optimizations
- Azure DevOps
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