Sr. Engineer - Data

Position Title: Sr. Data Engineer

Position Summary: (General statements regarding the overall objective of the position)

The Senior Data Engineer is responsible for designing, building, and maintaining the enterprise data warehouse, ensuring data quality, and supporting data lake and surrounding technology ecosystem, including Master Data Management, Extract Load Transform, Data Security and Data Catalog, (Domain: Financial Services - Banking)

Essential Duties and Responsibilities:

Designs, builds, and maintains data architectures, pipelines, and Extract Load Transform processes to ensure efficient and reliable data ingestion, processing, and storage. Develops and maintains data models, schema, and metadata to enable effective data analysis. Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and ensure data quality. Implements data validation and cleansing processes to ensure data accuracy and consistency as required. Monitors and troubleshoots data pipelines to ensure that they are running smoothly and efficiently. Stays current with the latest data engineering trends and technologies and applies them as appropriate and in alignment with data strategy.

Minimum Qualifications:

Education:

• Bachelor's degree in Computer Science, Information Systems, or a related field, or an equivalent combination of education and work experience is required.

Certification:

• Azure DP-203 Data Engineering required.
• Snowflake DEA-C01 SnowPro Advanced Data Engineer preferred.

Experience:

• Seven plus years relevant experience in data modeling, data integration, or data management.
• Experience in dimensional modeling at large enterprise.
• Experience on Git, Azure DevOps.
• Experience with distributed computing frameworks such as Hadoop and Spark.
• Strong experience with SQL and database management systems.
• Experience with cloud data technologies e.g. GCP, Dataproc, Big query, Airflow, Snowflake, Data Factory preferred.

Knowledge, Skills, and Abilities:

• Strong programming skills in languages such as Python, Java, or Scala.
• Proven ability to build data pipelines and framework for a scalable solution to support the dynamic cloud environment.
• Ability to write complex queries and stored procedures.
• Ability to manage multiple priorities simultaneously.
• Excellent written and oral communication skills.
• Ability to identify, research, and resolve technical problems.
• Ability to work both independently and as part of a team.

Physical Demands and Work Environment:

(The physical demands and work environment characteristics described herein are representative of those that must be met by an employee to successfully perform essential functions of this position and/or may be encountered while performing essential functions. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)

• While performing the essential duties of this position, an employee would frequently be required to stand, walk, and sit.
• Specific vision abilities required by this position include close vision, distance vision, and the ability to adjust focus.
• The noise level in the work environment is usually moderate.
• Our company offers a dynamic hybrid work arrangement, which requires three days on-site, in the Sugar Land, TX office. Our retail roles are required to be onsite at the branch locations.

Disclaimer:

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.

Texas Dow Employees Credit Union is an equal opportunity employer, dedicated to a policy of non-discrimination in employment on any basis including race, color, age, protected veteran status, sex, religion, disability, genetic information, national origin or other status protected by federal, state or local law. Consistent with the American Disabilities Act, applicants may request accommodations needed to participate in the application process.