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Treasury Data Platform is collection of tools and processes that manage and interact with data to orchestrate, source, transform, and make data available to consumers. This role requires an experienced and highly skilled software engineer to be part of the design and implementation of strategic data services for the Treasury group to standardize our capabilities and establish similar patterns across the broader organization. As a data engineer, candidate will be expected to help the team craft data solutions to meet business and enterprise requirements using PySpark, Python, Oracle Exadata, and emerging data technologies to help orchestrate a metadata driven data pipeline implementing ETL Automation.
This is an individual contributor role. Typically requires 10 plus years of applicable experience. This role will require you to:
Ability to develop, modify and adopt tools and processes to support self-service data pipeline management.
Drive adoption of data tools to modernize existing ETL frameworks/processes and implementing with a strategic mindset and typically have in-depth knowledge of development tools, and languages.
Collaborate with business and technology partners across the organization to assess data needs and prioritize adoption.
Identify additional strategic opportunities to evolve the data engineering practice.
10 years of experience in data engineering or business intelligence.
Good Understanding of Spark/PySpark framework.
3 years experience with Python (e.g. Pandas, Data Frames) and use in data processing solutions.
Minimum 3 to 5 Years practical working experience with relational databases, preferably Oracle Exadata.
Familiarity with Data Warehouse / Data Mart / Business Intelligence concepts.
Hands on experience with schema design and data modeling.
Strong practical working experience with Unix scripting in at least one of Python, Perl, Shell (either bash or zsh).
Experience with performance tuning data transformations across large data sets.
Experience with CI/CD processes and tools (e.g. Ansible, Jenkins).
Design and development experience in modern technologies such as API management, REST/API integration, Containers, Micro services.
Banking / Capital Markets / Accounting domain knowledge.
Implementing ETL with PySpark.
Practical working experience using ETL tools, preferably Informatica.
Experience or familiarity with orchestration tools, such as Airflow.
Experience designing and building data warehouses and knowledge of the data flows involved.
Software development in an Agile environment.
Working experience with Git, Jira, Confluence.
Excellent written and oral communication skills.
Willingness to take on problems outside of current skillset and experience.
Full Time
$113k-139k (estimate)
05/03/2024
05/20/2024
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.
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.
03/12/2022: Dothan, AL
A data engineer prepares data for analytical or operational uses.
03/03/2022: Boulder, CO
Data engineers simplify complex data structure and prevent the reduplication of data.
03/28/2022: New Suffolk, NY
Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
04/13/2022: Harrisburg, PA
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.
02/26/2022: Newark, NJ
A data engineer should be aligned with a data scientist’s needs while creating a data system.
04/10/2022: Fayetteville, NC
Start with an entry-level position.
02/10/2022: Winston Salem, NC
Consider pursuing additional professional engineering or big data certifications.
03/09/2022: Saginaw, MI
Step 3: View the best colleges and universities for Data Engineer.