Data Engineering Lead

hace 4 semanas

Bogotá, Bogotá D.E., Colombia TMF Group A tiempo completo

We are seeking a highly skilled Data Engineer to join our team at TMF Group.

Job Description

This is an exciting opportunity for a talented individual to work with our data intelligence practice and contribute to the development of enterprise-class data solutions.

As a Data Engineer, you will be responsible for designing, implementing, and maintaining complex data systems, including data warehousing, data modeling, and data visualization. You will collaborate with cross-functional teams to identify business needs and develop end-to-end data solutions.

Your key responsibilities will include:

  • Designing and implementing data pipelines using various data engineering tools and methods;
  • Developing and maintaining high-quality code in languages such as Python, PowerShell, and SQL;
  • Collaborating with stakeholders to gather requirements and provide technical expertise;
  • Ensuring data quality and integrity through data profiling, data validation, and data cleansing;
  • Working closely with the solution leads on solution design, architecture, and implementation;
  • Performing extraction, transformation, and loading (ETL) or extraction, loading, and transformation (ELT) of data from various sources into a data lake storage or data warehouse;
  • Querying and processing large data sets and performing data profiling and data quality assessments;
  • Designing and implementing data solutions for integration across systems that are both financial and operational;
  • Assisting in creating database models and architecture design and documentation;
  • Conducting research and development and contributing to the long-term positioning of emerging technologies related to data sourcing, cleansing, and integration;
  • Documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code;
  • Improving operations by conducting systems analysis, recommending changes in policies and procedures;
  • Investigating and resolving data defects and performance issues and building data quality rules;
  • Participating in client-facing project activities such as requirements gathering, solution reviews, and explaining technical complexities and business benefits in layperson terms;
Requirements and Qualifications

To be successful in this role, you will need:

  • A bachelor's degree in computer science or data analytics or 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.);
Salary

The estimated salary range for this position is $120,000 - $180,000 per year, depending on experience.

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