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Data Engineer
$111k-136k (estimate)
Full Time 11 Months Ago
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TEKsystems c/o Allegis Group is Hiring a Data Engineer Near Cincinnati, OH

Job Details

Top Skills' Details
Strong data engineering fundamentals and proficient in SAS and SQL
Looking for someone who is a good problem solver that can be given a SAS problem and have the mindset to solve/solution the design.
Work with the agile squad to design and develop the data sourcing solution in Snowflake
Data movement, data integration and ETL experience
Description:
onsite 3 days a week (subject to change). Strong data engineering fundamentals and proficient in SAS and SQL. Be a team player in a highly collaborative environment. Looking for someone who is a good problem solver that can be given a SAS problem and have the mindset to solve/solution the design. Will be on call rotation of production support. Work with the agile squad to design and develop the data sourcing solution in Snowflake. Data movement, data integration and ETL.
General Function
The data engineer designs and builds platforms, tools, and solutions that help the bank manage, secure, and generate value from its data. The person in this role creates scalable and reusable solutions for gathering, collecting, storing, processing, and serving data on both small and very large scales. These solutions can include on-premise and cloud-based data platforms, and solutions in any of the following domains ETL, business intelligence, analytics, persistence (relational, NoSQL, data lakes), search, messaging, data warehousing, stream processing, and machine learning.
Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues, and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.
Essential Duties And Responsibilities
Responsible for design, development, and support of data solutions, APIs, tools, and processes to enable rapid delivery of business capabilities.
Work closely with IT application teams, Enterprise architecture, infrastructure, information security, and LOB stakeholders to translate business and technical strategies into data-driven solutions for the Bank.
Act as a technical expert addressing problems related to system and application design, performance, integration, security, etc.
Conduct research and development based on current trends and technologies related to the banking industry, data engineering and architecture, data security, and related topics.
Work with developers to Build CI/CD pipelines, Self-service Build tools, and automated deployment processes.
Provide support and troubleshooting for data platforms.
Participate in the planning process for hardware and software.
Plan and work on internal projects as needed, including legacy system replacement, monitoring and analytics improvements, tool development, and technical documentation.
Provide technical guidance and mentoring for other team members.
Manage and prioritize multiple assignments.
Minimum Knowledge, Skills And Abilities Required
Bachelor's degree in Computer Science/Information Systems or equivalent combination of education and experience.
Must be able to communicate ideas both verbally and in writing to management, business and IT sponsors, and technical resources in language that is appropriate for each group.
At least 6 years of related experience, including at least 4 years in a hands-on data engineering role.
Proficient in SQL
Experience in: SAS Grid, Database: Snowflake, DB2 and Oracle Data Engineering, Data Architecture Methodologies: Agile, ETL and development.
Proficient in relational database modeling concepts and techniques.
Solid conceptual understanding of data engineering principles.
Financial industry experience is a plus.
Skills:
sql, SAS, snowflake, Data sourcing, Data engineering
Top Skills Details:
sql,SAS, snowflake, Data sourcing, Data engineering
Additional Skills & Qualifications:
Financial Industry Knowledge
Understanding of governance, risk, and compliance programs and processes
About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Job Summary

JOB TYPE

Full Time

SALARY

$111k-136k (estimate)

POST DATE

07/30/2023

EXPIRATION DATE

05/30/2024

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The job skills required for Data Engineer include SQL, Python, Big Data, Computer Science, Azure, Data Science, 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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