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Data Engineer
$111k-137k (estimate)
Full Time | Banking 2 Months Ago
Save

Kemba Financial Credit Union is Hiring a Data Engineer Near Columbus, OH

Title: Data Engineer

Reports to: Enterprise Data Architect

Supervises: None

Status: Exempt

Objective

The Data Engineer position will play a crucial role in building and maintaining the data infrastructure necessary for effective business intelligence and analytics. The successful candidate will be responsible for designing, developing, and optimizing data pipelines, ensuring the availability, security, and quality of our data assets. This position offers an exciting opportunity to contribute to the advancement of data-driven decision-making within our organization.

Duties and Responsibilities

  • Designs, implements, and maintains robust, scalable, and efficient data pipelines for both batch and real-time processing
  • Collaborates with cross-functional teams to understand data requirements and implement solutions that meet business needs
  • Evaluates and selects database/data warehouse components including ETL software, metadata management tools, and database design solutions
  • Develops and implements data models that support the organization's analytical and reporting needs
  • Implements data quality checks and validation processes to ensure the accuracy and reliability of the data
  • Works closely with data governance teams to enforce data policies and standards
  • Collaborates with business stakeholders, data analysts, and other IT teams to understand data requirements and provide technical expertise
  • Assists in the design of databases and data warehouses to ensure interoperability with BI solutions
  • Communicates complex technical concepts to non-technical stakeholders in a clear and understandable manner
  • Conducts job duties and responsibilities according to the organization’s business systems development methodology and/or its Systems Development Life Cycle (SDLC) methodology
  • Troubleshoots BI tools, systems, and software; performance-tune these applications as necessary
  • Acts as evangelist for BI benefits across the organization; promote BI usage to relevant departments
  • Mentors and/or provide leadership to junior members of the team

Required Qualifications

  • College diploma or university degree in the field of computer science, information systems, or computer engineering
  • Minimum of 3 years direct work experience, building and maintaining ETL processes
  • Experience working in the financial industry preferred
  • Experience in data integration, ETL development, and data modeling, using Python, Powershell, SSIS and other transformation tools
  • Experience building, using and managing data warehouses, using MS SQL Server, Google Cloud, Snowflake, and similar
  • Proficiency in SQL, table and Index creation, data manipulation, and database management
  • Experience using automation tools, preferably VisualCron, OpCon, SQL job management and similar
  • Demonstrated ability with multi-system reporting skills (SQL, report development, design, and automation)
  • Report building experience using SSRS and BI tools. MS Power BI preferred
  • Knowledge of database design, performance tuning and troubleshooting
  • Knowledge of data processing flowcharting techniques
  • Understand and follow of the organization’s goals and objectives
  • Basic knowledge of applicable data privacy practices and laws
  • Strong written and oral communication skills
  • Exceptional analytical, conceptual, and problem-solving abilities
  • Able to prioritize and execute tasks in a high-pressure environment
  • Experience working in a team-oriented, collaborative environment

Desired Qualifications

  • Previous credit union or financial experience

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of the job, the employee is regularly required to sit; use hands to manipulate, handle, feel, and talk or hear. The employee is frequently required to reach with hands and arms. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 15 pounds. Specific vision abilities required by this job include close vision, distance vision and ability to adjust focus.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Banking

SALARY

$111k-137k (estimate)

POST DATE

03/27/2024

EXPIRATION DATE

05/26/2024

WEBSITE

kemba.org

HEADQUARTERS

GROVE CITY, OH

SIZE

200 - 500

FOUNDED

1933

TYPE

Private

CEO

JEF SHAFFER

REVENUE

$500M - $1B

INDUSTRY

Banking

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About Kemba Financial Credit Union

KEMBA provides loans, credit cards, retirement planning and savings accounts for individuals and businesses.

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The job skills required for Data Engineer include SQL, Python, Data Warehouse, Computer Science, Data Modeling, Data Quality, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

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A data engineer prepares data for analytical or operational uses.

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Data engineers simplify complex data structure and prevent the reduplication of data.

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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

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Oil changes are an essential component of preventative maintenance.

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A data engineer should be aligned with a data scientist’s needs while creating a data system.

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Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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