This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Data Engineer based in Mexico.
Join a dynamic data engineering environment where you will design, build, and optimize scalable cloud data solutions. You will play a key role in developing reliable ingestion pipelines across databases, files, applications, and streaming sources. The role offers the opportunity to work extensively with cloud data lakes, ETL processes, CDC, and data quality frameworks. You will contribute to architecture decisions, reusable integration assets, and performance optimization across multiple environments. Your work will directly support high-quality, accessible, and trusted data for business-critical initiatives. This is a fully remote opportunity for an experienced data professional who enjoys solving complex technical challenges and collaborating with diverse teams. Strong technical expertise, ownership, and advanced English communication skills are essential.
Accountabilities
- Design and execute cloud mass ingestion solutions covering databases, files, applications, and streaming data sources.
- Manage initial data loads and incremental Change Data Capture (CDC) processes across Oracle, SQL Server, and Redshift, including schema drift management and delivery to S3 landing zones.
- Design and develop data lake architectures and datasets, including zone and layer structures, partitioning strategies, file formats, and curated datasets.
- Build and optimize cloud data integrations through mapping and taskflow design, ETL performance optimization, and development of reusable integration assets.
- Manage the promotion of data integration solutions across Development, QA, and Production environments.
- Monitor pipeline health and data quality, troubleshoot Secure Agent and Operational Insights issues, perform root cause analysis, and execute data backfills when required.
- Collaborate proactively with technical and cross-functional teams to ensure reliable, scalable, and maintainable data solutions.
Requirements
- 5+ years of professional experience in Data Engineering or a closely related role.
- Strong experience with Informatica Cloud Mass Ingestion, cloud data engineering, ETL, and SQL Server.
- Hands-on knowledge of data ingestion, CDC, data lake architecture, cloud integration, and data pipeline development.
- Experience working with Oracle, Redshift, S3, and other cloud-based data technologies is highly valued.
- Strong SQL skills and the ability to troubleshoot, optimize, and maintain complex data workflows.
- Proactive, responsible, empathetic, and committed approach to work, with strong teamwork and collaboration skills.
- Advanced/fluent English communication skills are mandatory.
- Bachelor’s degree or higher in Computer Science, Engineering, Information Technology, or a related field.
- Must be a resident of Mexico and available to work Monday through Friday, from 09:00 to 18:00.
- Candidates must provide their compensation expectations in their application and resume, both in English.
Benefits
- Attractive salary package with premium benefits.
- Performance bonuses.
- Grocery coupons.
- Savings fund.
- Aguinaldo and premium vacation benefits.
- Paid vacation.
- Major Medical Expenses Insurance (SGMM).
- Family medical insurance coverage.
- Life insurance.
- Fully remote work from Mexico.
- Monday-to-Friday schedule, 09:00–18:00.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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