Sr Cloud Data Engineer

No Corp to Corp or 3rd party recruiter submittals.

THE CLIENT IS ASKING FOR LOCAL CANDIDATES IN THE COLUMBUS, OH OR CLOSE BY AREA.

Client Title: Sr Cloud Data Engineer

Hours: 8 AM until 5 PM

Days: Monday-Friday

Term of Contract: 1 year

Pay Range OR Rate: USD 42.04-USD 78.57

PTO and Holiday Pay are offered.

Team Structure:

Team of approximately 30.

Department is focused on managing the Data & Analytics data warehouse platform

Position Details:

Candidate will be hands on with the project but also need to have strong leadership skills.

50% of the time candidate will need to manage and guide a team of developers and the other 50% of the time will be completing the technical work (hands on). Must have previous experience with this (i.e., technical lead)

Code review person. Each spring. Coders will do developing then candidate will be reviewing code and auditing the code to ensure its meeting the standard (final eye)

Migrating to a data warehouse.

Required Skills:

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)

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 is a plus.

Candidate can expect a panel interview with the hiring manager and members of the team.

Potential for 2nd interview to be scheduled

WFH:

This person will be onsite 100 percent of the time during training. If the candidate shows they are can work independently and productively, some flexibility could be offered to work from home. This is up to the hiring manager.

Education:

Bachelorâ s Degree in Information technology or like degree plus 5 years of IT work experience.

Responsibilities:

The Cloud Data Engineer will be responsible for developing, expanding, and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. 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 co workers 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 Leading Operations for Assigned Systems:

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.

Qualifications:

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.

PREFERRED QUALIFICATIONS:

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.

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