Data Engineer II

Why Orthofix?

Guided by our organizational values – Take Ownership | Innovate Boldly | Win Together – we collaborate closely with world-class surgeons and other partners to improve people’s quality of life. At Orthofix, we want team members who build relationships and share knowledge, challenge the status quo, and deliver results every day to help us achieve our vision to be the unrivaled partner in Med Tech.  

Our global team of over 1,600 employees brings to market highly innovative, cost-effective, and user-friendly medical technologies that heal musculoskeletal pathologies for patients and the healthcare professionals who treat them. Looking to change people’s lives? Look no further.

How you'll make a difference?

This position will help design, develop and provide operational support for data integration/ ETL projects and activities. He or She will also be required to guide/ mentor other data engineers, coordinate / assign / oversee tasks related to ETL projects , work with functional analysts, end users and other BI team members to design effective ETL solutions/ data integration pipelines.

What will your duties and responsibilities be?

The following are the essential functions of this position. This position may be responsible for performing additional duties and tasks as needed and assigned.

• Technical design, development, testing, documentation of Data Warehouse / ETL projects

• Perform data profiling and logical / physical data modelling to build new ETL designs and solutions

• Develop, implement and deploy ETL solutions to update data warehouse and datamarts

• Maintain quality control, document technical specs and unit testing to ensure accuracy and quality of BI data

• Implement, stabilize and establish Dev Ops process for version control and deployment from non prod to prod environments

• Troubleshoot, debug and diagnose ETL issues

• Provide production support and work with other IT team members and end users to resolve data refresh issues – provide off hours operational support as needed

• Performance tuning and enhancement of SQL and ETL processes and prepare related technical documentation

• Work with Offshore team to coordinate development work and operational support

• Keep abreast of latest ETL technologies and plan effective use

• Be key player in planning migration of our EDW system to Modern global data warehouse architecture

• Assessment and implementation new EDW/ Cloud technologies to help evolve EDW architecture to efficiency and performance.

• Communicate very clearly and professionally with users, peers, and all levels of management. The communication forms include written and verbal methods

• Lead ETL tasks and activities related to BI projects, assign/ coordinate/ follow up on activities to meet ETL project timelines. Follow through and ensure proper closure of service request issues

• Help with AI/ ML projects as assigned

• Perform code reviews on ETL/ report changes where appropriate

• Coordinate with the DBA team on migration, configuration, tuning of ETL codes

• Act as mentor for other data engineers in the BI Team.

• Adhere to the processes and work policies defined by management

• Perform other duties as needed 

What skills and experience will you need?

The requirements listed below are representative of the education, knowledge, skill and/or ability required for this position.

Education/Certifications:

• Requires minimum of 8 years of related experience with a Bachelor’s degree in computer science, MIS, Data science or related field; or 6 years and a Master’s degree

Experience, Skills, Knowledge and/or Abilities:

• Understanding of ERP business processes (Order to Cash, Procure to Pay , Record to report etc), data warehouse and BI concepts and ability to apply educational and practical experience to improvise business intelligence applications and provide simplified and standardized solutions to achieve the business objectives.

• Expert knowledge of data warehouse architecture – well versed with Modern Data warehouse concepts, EDW & Data Lake/ Cloud architecture

• Expertise in dimensional modeling, star schema designs including best practices for use of indexes, partitioning, and data loading.

• Advanced experience in SQL, writing Stored procedures and tuning SQL, preferably using Oracle PL/SQL

• Strong experience with Data integration tool using ADF ( Azure Data Factory)

• Well versed with database administration tasks and working with DBAs to monitor and resolve SQL / ETL issues and performance tuning

• Experience with Dev Ops process in ADF, preferably using GitHub. Experience in other version control tools helpful.

• Experience in trouble shooting data warehouse refresh issues and BI reports data validation with source systems.

• Excellent communication skills.

• Ability to organize and handle multiple tasks simultaneously.

• Ability to mentor/ coordinate activities for other data engineers as needed.

What qualifications are preferred?

The education, knowledge, skills and/or abilities listed below are preferred qualifications in addition to the minimum qualifications stated above.

Additional Experience, Skills, Knowledge and/or Abilities:

• Preferred with experience working with Oracle EBS or any major ERP systems like SAP 

• Preferred with experience use of AI/ ML – Experience in R, Python, Pyspark a plus

• Preferred with experience on Cloud EDW technologies like Databricks, Snowflake, Synapse

• Preferred experience with Microsoft Fabric, Data Lakehouse concepts and related reporting capabilities

PHYSICAL REQUIREMENTS / ADVERSE WORKING CONDITIONS

The physical requirements listed in this section include, but are not limited, to the motor/physical abilities, skills, and/or demands required of the position in order to successfully undertake the essential duties and responsibilities of this position. In accordance with the Americans with Disabilities Act (ADA), reasonable accommodations may be made to allow qualified individuals with a disability to perform the essential functions and responsibilities of the position.

• No additional physical requirements or essential functions for this position.

The anticipated salary for this position is $109,873 to $132,411 per year, plus bonus, and benefits.

DISCLAIMER

The duties listed above are intended only as representation of the essential functions of this position. The omission of specific statements of duties does not exclude them from the position if the work is similar, related, or a logical assignment to the position. The job description does not constitute an employment agreement between the employer and employee and is subject to change at the sole discretion of the employer. Nothing in this document alters an employee’s at-will employment status.

We are committed to providing equal employment opportunities to all employees and applicants without regard to race (including traits historically associated with race, such as hair texture and protective hairstyles, including braids, locks, and twists), ethnicity, religion, religious creed (including religious dress and grooming practices), color, caste, sex (including childbirth, breast feeding, and related medical conditions), gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship status, uniform service member and veteran status, marital status, pregnancy, age (40 and over), protected medical condition (including cancer and genetic conditions), genetic information, disability (mental and physical), reproductive health decision-making, medical leave or other types of protected leave (requesting or approved for leave under the Family and Medical Leave Act or the California Family Rights Act), domestic violence victim status, political affiliation, or any other protected status in accordance with all applicable federal, state, and local laws.

This policy extends to all aspects of our employment practices including, but not limited to, recruiting, hiring, discipline, termination, promotions, transfers, compensation, benefits, training, leaves of absence, and other terms and conditions of employment.