Data Engineer

Axis Technologies; Fort Worth (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Axis Technologies in the United States is seeking a Data Engineer to join an Agile team responsible for collecting, processing, and storing large datasets from multiple sources. You will design and implement data pipelines, ensure data quality, and collaborate with data architects and analysts to deliver scalable solutions.

The role requires hands-on experience with SQL, Java, and ETL tools, plus cloud familiarity (AWS).

Qualifications

• Experience with databases (SAP HANA, SQL Server, Oracle) and connectivity (ODBC, JDBC).
• Experience with data warehouse solutions (HANA views, table functions, stored procedures).
• Experience with ETL tools (SAP Data Services, Informatica, NiFi, SSIS) or equivalents.
• Proficiency in SQL, Java, and Git.
• Understanding of CI/CD and AWS/Cloud technologies.
• Excellent written and verbal communication; strong business process knowledge.

Responsibilities

• Collect, ingest, process, and store large datasets from diverse sources.
• Develop data workflows to clean, transform, and aggregate data into usable datasets.
• Collaborate with data architects and analysts to develop solutions across the data pipeline.
• Maintain data systems performance and implement improvements in production and development environments.
• Support data modeling and governance best practices across projects.

Skills

SQL

Java

Git

Communication

Education

Bachelor's degree

Tools

SAP HANA

Oracle

SQL Server

ODBC

JDBC

Informatica

SSIS

NiFi

Job description

Duties and responsibilities include, but is not limited to:

• Exhibits a degree of ingenuity, creativity, and resourcefulness when collecting, and processing data for analysis while working as part of an Agile scrum team
• Applies and/or develops workflows that clean, transform and aggregate unorganized data into databases or data sources
• Responsible for collecting, ingesting, processing, and storing large datasets from a wide variety of data sources and stakeholders
• Maintain data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases
• Collaborate with data architects and data analysts to develop solutions across the entire data processing pipeline

Basic Qualifications

• Demonstrated experience with databases (SAP HANA, SQL server, Oracle, etc.) and database connectivity (ODBC, JDBC, data virtualization, etc.
• Demonstrated experience with developing data warehouse solutions (Hana calculation views, table functions, stored procedures, etc
• Demonstrated experience with Extract Transform and Load (ETL) tools such as SAP Data Services, Informatica, NiFi, SQL Server Integration Services, or equivalents
• Proficiency with languages/tools such as SQL, Java, and/or GIT
• Understanding of/experience with open-source tools and CI/CD best practices
• Ability to implement technical strategy
• Familiarity with AWS/Cloud Technologies
• Hands-on experience working with visualization tools such as Business Objects, Tableau, or others.
• Knowledge of various data processing architectural design patterns
• Excellent written and verbal communication skills to assist in understanding and managing internal customer requirements
• Strong business process knowledge – understanding of the business acumen, processes, and functional tools.
• Apply best practices for modeling data for analysis and advanced analytics use cases and coach other team members to learn these best practices
• Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education

Desired skills

• Expertise in developing data warehouse solutions
• Experience with Enterprise Resource Planning (ERP), Product Lifecycle Management (PLM), and/or Manufacturing Execution System (MES) or other systems and processes
• Experience with middleware tools such as SAP Process Integration, Red Hat Fuse, MuleSoft, etc.
• Experience with real time and batch data integration via REST API, Web Services, and/or message queues with various data formats like XML and JSON.
• Experience with data catalog and business glossary platforms such as Colli
• braExperience with DevSecOps and the Agile Framework