Data Engineer

(We never request payment as part of our selection process and always contact candidates through our corporate accounts and platforms. If you are asked for payment, it is likely to be fraudulent. Please check that the role you are interested in is posted here on our website.)TMF Group is a leading provider of administrative services, helping clients invest and operate securely around the world. As a global company with over 11,000 employees in more than 125 offices across 87 jurisdictions, we seek talented individuals with the potential to thrive at TMF Group, regardless of their background, and offer job opportunities to the broadest spectrum of people. Once onboarded, we nurture and promote talented individuals, ensuring that leadership positions are within reach for everyone.JOB DESCRIPTION We are looking for a Data Engineer to join our talented data intelligence practice. This position will allow a talented and enthusiastic candidate the opportunity to have an immediate impact within the organization. As a Data Engineer, you will work closely with many teams across our company on complex, data warehousing, advanced analytical projects to perform data sourcing, data profiling, and other data manipulation functions. You will assist the data intelligence team in the development of enterprise-class data solutions that serve various purposes. An individual in this role will be called upon to support various operational tasks and support internal or external projects within the company. We are looking for self-starters with the skills necessary where you will be directly responsible for addressing business needs through requirements gathering and collaborating on solution reviews to develop end-to-end data solutions including but not limited to data modeling, data delivery pipelines, data visualization, and working through complex problems and solutioning using agile development methodology. We are looking for a data engineer who is an ideal team player. Here’s what a typical day for you might look like: Working closely with the solution leads on solution design, architecture, and implementation.Perform extraction, transformation, and loading (ETL) OR extraction, loading, and transformation (ELT) of data from a wide variety of data sources using various data engineering tools and methods into a data lake storage or data warehouse.Query and process large data sets and perform data profiling and data quality assessments. Design and implement data solutions for integration across systems that are both financial and operational. Assist in creating database models and architecture design and documentation.Conduct research and development as well as contribute to the long-term positioning of and emerging technologies related to data sourcing, cleansing, and integration.Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code. Improve operations by conducting systems analysis, recommending changes in policies and procedures. Investigate and resolve data defects, and performance issues and build data quality rules.Participate in client-facing project activities such as requirements gathering, solution reviews, and explaining technical complexities and business benefits in layperson terms. EXPERIENCE/QUALIFICATIONSTMF Group is a fast-paced environment with high demand for a Data Intelligence team. A successful candidate sets a high standard for their delivery of quality solutions. Listed below are the desired experience and skills demonstrated by a successful candidate. Bachelor’s degree in computer science or data analytics or software engineering or mathematics (master’s degree is a plus).5+ years of experience with Azure Data Factory, Azure SQL, Azure Synapse, Azure Databricks, ML/AI, Databricks, and ML Ops.5+ years of experience with Talend or Informatica ETL tool.5+ years of experience in managing and maintaining data integration between different applications and databases using APIs or REST APIs.5+ years of experience in data engineering, data ingestion, data warehouse, data modeling, data migration/ingestion assessments.5+ years of advanced SQL development and database experience (example: Snowflake, Azure SQL Database, Azure Synapse, Redshift, Oracle, SQL Server, MySQL, NoSQL, etc.).5+ years in a data engineer role or similar delivering enterprise data lakes/lakehouses/warehouses. 5+ years of experience creating, managing, and troubleshooting complex data ingestion pipeline, SQL queries, views, procedures, and functions.5+ years of experience in advanced SQL development: management of high volume of data, building aggregates, and cubes, tuning complex queries for performance, improving overall data retrieval process, indexing, and query plan analysis, and refactoring.5+ years of experience with data extraction with a wide variety of ETL/ELT tools and processes.5+ years of experience building data warehouses, data mart, and symantec data layers.3+ years of experience with scripting in python, power shell, etc.Experienced working in the cloud and serverless database solutions (example: Azure, AWS, Snowflake, BigQuery, BigTable, etc.) in combination with any BI Tools (example: Power BI, Tableau, etc.).Experience working with project management applications (example: JIRA, Kimble, Salesforce, etc.).Experience with version control applications (example: Azure DevOps, GitHub, BitBucket, etc.)

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