Data Engineer

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🕒 August 8, 2025

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VALCE Talent Solutions

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

🤝 B2B

🎯 Recruiter

B2B • Recruitment • Consulting

VALCE Talent Solutions is a company specializing in nearshoring, IT talent acquisition, and consultancy aimed at helping businesses expand globally, particularly in Mexico, LATAM, and the United States. They offer customized solutions that include talent recruitment, workforce management, and the integration of technology and artificial intelligence to enhance business processes. With a strong focus on strategic consulting, VALCE aims to connect technology, talent, and tangible results, boasting a robust network of IT professionals and a proven track record of successful placements and project scaling.

📋 Description

• Support projects leveraging an agile delivery model through requirements gathering and documentation, data ingestion pipeline development, and technical testing. • Contribute to project delivery in the following ways: • Add configurations for data enrichments such as lookups, type conversions, calculations, and concatenations • Add data quality rules • Connect to new data sources • Map multiple sources into a single output • Interpret error messages to troubleshoot data pipelines • Create outputs that facilitate reporting, dashboarding, and semantic modeling for tools such as Tableau and Power BI • Test data pipelines to ensure accuracy • Work closely with our clients as part of the development team to gather technical requirements and develop solutions • Coordinate activities with data source application owners to understand the underlying data, ensure integration and data integrity • Build relationships with clients through written and verbal communication

🎯 Requirements

• 2+ years of hands-on professional development experience, consulting experience preferred. • 1+ years of experience working with Databricks • Experience writing complex SQL queries related to data manipulation strategies • Experience building or working with metadata-driven ETL / ELT patterns and concepts. • Experience with Spark, Databricks, Kafka, Kinesis, Hadoop, and/or Lambda. • Exposure using ETL tools (Azure Data Factory, AWS Glue, Informatica, Talend, IBM DataStage, etc.), database platforms (Snowflake, Redshift, Azure Synapse, or Oracle), and data visualization tools (Tableau, Power BI, Looker). • Experience in technical testing, issue identification and resolution • Strong verbal and written communication skills