Overview

Trissential is a trusted partner for end-to-end quality services and management consulting. As a part of our parent company Expleo, we have a footprint in 30 countries. Our Mission is to have a positive impact on every person who interacts with Trissential. Clients love us because we are service focused. Employees love us because they are valued and cared for.

Trissential is seeking an experienced Senior Data Engineer to join our client’s team. The successful candidate is someone well-versed in data platforms such as Databricks or Snowflake, with experience in cloud environments, preferably azure. This role is a hybrid role, requiring coming into the Woodbury, MN office every week on Tuesday and Thursday.

Responsibilities

• Architect and refine our Databricks-centric data platform, emphasizing scalable integrations and advanced entity resolution strategies.
• Lead the charge towards a data mesh infrastructure, promoting domain-centric design and decentralized data management.
• Enhance our DataOps capabilities, emphasizing data observability, discovery, and lineage to maintain data integrity and accuracy.
• Pioneer the adoption of Databricks data lakehouse architectures, focused on simplifying data management and enhancing data processing capabilities.
• Serve as a technical liaison among analytics engineers, BI developers, and analysts within the Databricks environment, integrating solutions like Segment.io.
• Mentor junior data engineers, instilling best practices in Databricks and techniques for sophisticated data processing and entity resolution.
• Develop and optimize SQL and Python/Scala scripts within Databricks for complex data transformation and integration tasks.
• Work closely with cross-functional teams to align data strategies with operational needs and objectives, incorporating advanced data resolution methodologies.
• Stay at the forefront of industry trends and technological advancements to ensure our Databricks platform remains innovative and effective.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Strong leadership skills and the ability to advocate for best practices in data management and processing.
• 5 years of experience in a data engineering role, with history of implementing data platform modernization.
• Must have 2 years of hands on databricks experience.
• In-depth understanding of Databricks, along with experience in other cloud data warehouses like Snowflake, Redshift, Big Query.
• Building data integration and orchestration within the databricks environment, with hands-on experience in technologies such as Delta Live Tables, CDC, dbt, airflow, Segment.io.
• Advanced skills in SQL, Python, and Scala, with an emphasis on their application within Databricks for complex data tasks.
• Knowledge of best practices in version control and CI/CD with Git and GitHub Actions; Agile project management with Jira and Confluence.
• Proficiency with the Azure data suite (Azure SQL, Data Factory, Synapse Analytics, Power BI).
• Solid understanding of data observability, discovery, and lineage, and their application in maintaining high data quality standards.
• Additional experience with AI and ML capabilities in the context of Databricks is a plus.

Benefits

Trissential offers competitive compensation package for full time roles. The hourly pay range for this role is $70 to $80 based on candidate's qualifications and experience. This role is eligible for benefits and includes options for medical, dental, vision, and tele-health benefits; Health Savings Account with company contribution; up to 48 hours of accrued paid safe and sick time, and 401k retirement savings.