- Position requires candidate to manage and guide a team of developers in addition to completing technical work so candidates must have previous experience as a technical lead or a background that also includes with leadership/management.
- Informatica, IICS data pipeline development experience, Cloud Datawarehouse (Snowflake preferred), on-prem to cloud migration experience
- Ability to perform peer SIT testing with other Cloud Data Engineers
- Database - MS SQL Server, Snowflake.
- Nice to have / medium priority: Informatica PowerCenter (high priority)Nice to have / medium priority: Informatica PowerCenter (high priority)
- Analytical reporting - Tableau / Qlik Sense / SAS / R (migrating existing reports -mostly Tableau / moving from Qlik View to Qlik Sense)
- Kafka, Kubernetes.
- Finance, Lease / Loan or Automotive experience are a plus.
- This position requires a Bachelor's Degree in Computer Science or a related technical field, and 5+ years of relevant employment experience.
- 2+ years of work experience with ETL and Data Modeling on AWS Cloud Databases.
- Expert-level skills in writing and optimizing SQL.
- Experience operating very large data warehouses or data lakes.
- 3+ years SQL Server.
- 3+ years of Informatica or similar technology.
- Knowledge of Financial Services industry.
- 5+ years of work experience with ETL and Data Modeling on AWS Cloud Databases.
- Experience migrating on-premise data processing to AWS Cloud.
- Relevant AWS certification (AWS Certified Data Analytics, AWS Certified Database, etc.).
- Expertise in ETL optimization, designing, coding, and tuning big data processes using Informatica Data Management Cloud or similar technologies.
- Experience with building data pipelines and applications to stream and process datasets at low latencies.
- Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.
- Sound knowledge of data management and knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
- Knowledge of Engineering and Operational Excellence using standard methodologies.
- The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
- During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.
- To ensure success as a data engineer, you should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism.
- A formidable data engineer will demonstrate unsatiated curiosity and outstanding interpersonal skills. Key accountabilities of the function
- Designing, implementing, and operating assigned cloud technology platforms as the technical expert.
- Leading internal and external resources in the appropriate utilization of cloud technology platforms.
- Executing ITSM/ITIL processes to ensure ongoing stable operations and alignment with SLAs.
- Steering providers in the execution of tier 2 and 3 support tasks and SLAs.
- Resolving escalated support issues.
- Performing routine maintenance, administering access and security levels.
- Driving System Management & Application Monitoring.
- Ensuring monitoring and correct operation of the assigned system.
- Ensuring changes to the system are made for ongoing run and support.
- Ensuring consolidation of emergency activities into regular maintenance.
- Analyzing system data (system logs, performance metrics, performance counters) to drive performance improvement.
- Supporting Agility & Customer Centricity.
- Supporting the end user with highly available systems.
- Participating in the support rotation.
- Performing other duties as assigned by management Additional skills: special skills / technical ability etc.
- Demonstrated experience in vendor and partner management.
- Technically competent with various business applications, especially Financial Management systems.
- Experience at working both independently and in a team-oriented, collaborative environment is essential.
- Must be able to build and maintain strong relationships in the business and Global IT organization.
- Ability to elicit cooperation from a wide variety of sources, including central IT, clients, and other departments.
- Strong written and oral communication skills.
- Strong interpersonal skills.
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Cloud Data Engineer - Columbus, United States - Revel IT
Description
Our Columbus, Ohio client has a contract opportunity for a Cloud Data Engineer who will be responsible for developing, expanding, and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
On-site 2-3 days/week in Columbus, Ohio.
NO THIRD PARTIES Candidates MUST be on our W2 payroll.
Required Skill Set: (Technical + Soft Skills)
Nice To Have Skill Set: (Technical + Soft Skills)
Desired Industry Experience:
Cloud Data Engineer
Qualifications:
BASIC QUALIFICATIONS:
PREFERRED QUALIFICATIONS:
Responsibilities:
Leading Operations for Assigned Systems: