Trace3 is hiringSenior Data Engineer

Who We’re Looking For:

We’re looking to add a Senior Data Integration Engineer with a strong background in data engineering and development.  You will work with a team of software and data engineers to build client-facing data-first solutions utilizing data technologies such as SQL Server and MongoDB. You will develop data pipelines to transform/wrangle/integrate the data into different data zones.

To be successful in this role, you will need to hold extensive knowledge of SQL, relational databases, ETL pipelines, and big data fundamentals.  You will also need to possess strong experience in the development and consumption of RESTful APIs.  The ideal candidate will also be a strong independent worker and learner.

What You’ll Be Doing

• Develop processes and data models for consuming large quantities of 3^rd party vendor data via RESTful APIs.
• Develop data processing pipelines to analyze, transform, and migrate data between applications and systems.
• Analyze data from multiple sources and negotiate differences in storage schema using the ETL process.
• Develop APIs for external consumption by partners and customers.
• Develop and support our ETL environment by recommending improvements, monitoring, and deploying quality and validation processes to ensure accuracy and integrity of data.
• Design, develop, test, deploy, maintain, and improve data integration pipelines.
• Create technical solutions that solve business problems and are well engineered, operable, and maintainable.
• Design and implement tools to detect data anomalies (observability). Ensure that data is accurate, complete, and high quality across all platforms.
• Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues.
• Assembles large and complex data sets; develops data models based on specifications using structured data sets.
• Develops familiarity with emerging and complex automations and technologies that support business processes.
• Develops scalable and re-usable frameworks for ingestion and transformation of large datasets.
• Work within an Agile delivery / DevOps methodology to deliver product increments in iterative sprints.
• Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues.
• Develop data models and mappings and build new data assets required by users. Perform exploratory data analysis on existing products and datasets.
• Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
• Engage in logical and physical design of databases, table creation, script creation, views, procedures, packages, and other database objects.
• Create documentation for solutions and processes implemented or updated to ensure team members and stakeholders can correctly interpret it.
• Design and implement processes and/or process improvements to help the development of technology solutions.

Your Skills and Experience (In Order of Importance):

• 5+ years of relational database development experience; including SQL query generation and tuning, database design, and data concepts.
• 5+ years of backend and Restful API development experience in NodeJS (experience with GraphQL a plus).
• 5+ years of development experience with the following languages Python, Java, C#/ .NET.
• 5+ years of experience with SQL and NoSQL databases; including MS SQL and MongoDB.
• 5+ years consuming RESTful APIs with data ingestion and storage.
• 5+ years developing RESTful APIs for use by customers and 3^rd
• 3+ years of professional work experience designing and implementing data pipelines in a cloud environment.
• 3+ years of experience working within Azure cloud.
• Experience in integrating and ingesting data from external data sources.
• Strong diagnostic skills and ability to research, troubleshoot, and logically determine solutions.
• Ability to effectively prioritize tasks in a fast-paced, high-volume, and evolving work environment.
• Comfortable managing multiple and changing priorities, and meeting deadlines.
• Highly organized, detail-oriented, excellent time management skills.
• Excellent written and verbal communication skills.