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Data Engineer

hace 2 meses

Bogotá, Bogotá D.E., Colombia TMF Group A tiempo completo
About the Role

We are seeking a highly skilled Data Engineer to join our team at TMF Group. As a Data Engineer, you will play a critical role in designing, developing, and implementing enterprise data solutions that drive business value.

Key Responsibilities
  • Design and develop complex data solutions using various data engineering tools and methods.
  • Extract, transform, and load (ETL) or extract, load, and transform (ELT) data from a wide variety of data sources into a data lake storage or data warehouse.
  • Query and process large data sets, 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 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.
Requirements
  • Bachelor's degree in computer science, data analytics, software engineering, or mathematics (master's degree is a plus).
  • 3+ years of experience in data engineering, data ingestion, data warehouse, data modeling, data migration/ingestion assessments.
  • 3+ years of advanced SQL development and database experience (example: Snowflake, Azure SQL Database, Azure Synapse, Redshift, Oracle, SQL Server, MySQL, NoSQL, etc.).
  • 3+ years in a data engineer role or similar delivering enterprise data lakes/lakehouses/warehouses.
  • 3+ years of experience creating, managing, and troubleshooting complex data ingestion pipeline, SQL queries, views, procedures, and functions.
  • 3+ 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.
  • 3+ years of experience in managing and maintaining data integration between different applications and databases using APIs or REST APIs.
  • 3+ years of experience working with geospatial and geography data.
  • 3+ years of experience with data extraction with a wide variety of ETL/ELT tools and processes.
  • 3+ years of experience building data warehouses, data mart, and symantec data layers.
  • 3+ years of experience with scripting in python, power shell, etc.
  • 3+ years of experience with Azure Data Factory, Azure SQL, Azure Synapse, Azure Databricks, ML/AI, Databricks, and ML Ops.
  • 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.).
Desirable Skills
  • Rigorous attention to detail.
  • Ability to communicate with internal and external stakeholders and work through data-related inquiries and issues.
  • Effectively manage workload with shifting priorities and varying business requirements.
  • Excellent problem-solving skills to identify creative ways to achieve solutions.
  • Capable of taking responsibility for a task and managing it through completion.
  • Excellent verbal and written communication skills.
  • Strong accounting background is a plus.
  • Experience in Accounting, Investment management will be beneficial.
  • Experience with Private Equity applications (Investran, Allvue, eFront) Real Estate (Yardi, MRI), Credit servicing (WSO, Black Mountain, Sentry, Loan IQ) technology stacks will be beneficial.
  • Strong understanding of the Private Funds and Capital Markets (Credit/Debt Servicing) industry.
  • Fluent in both written and spoken English.
About TMF Group

TMF Group is a leading provider of business services to companies operating and investing globally. We help our clients operate their business and stay compliant in different markets.

What We Offer
  • Pathways for career development.
  • Work with colleagues and clients around the world on interesting and challenging work.
  • Continuous development is supported through global learning opportunities from the TMF Business Academy.
  • A supportive environment.
  • Strong feedback culture to help build an engaging workplace.
  • Our inclusive work environment allows you to work from our offices around the world, as well as from home, helping you find the right work-life balance to perform at your best.