Data Engineer-Marketing Technology
Build and operate reliable data pipelines and integrations across marketing and business systems, shaping accurate customer data for segmentation, lifecycle campaigns, attribution, and performance reporting.
Description:
We are looking for a Senior Data Engineer with strong experience in Ab Initio and Snowflake to design, develop, and support enterprise-scale data integration and data warehouse solutions.
You will work within a large-scale Azure data environment, supporting high-volume ETL/ELT processes, complex data pipelines, metadata management, and cloud modernization initiatives. The role is ideal for a hands-on technical expert comfortable working with complex data ecosystems and hundreds of Ab Initio processes.
Responsibilities:
Your Qualifications:
Metova Talent is interested in every qualified candidate who is eligible to work and reside in the United States. However, we will not consider applicants who are not U.S. citizens, U.S. nationals, lawful permanent residents, asylees, or refugees.
Metova Talent is an Affirmative Action and Equal Opportunity Employer.
*Notice to Third Party Recruitment Agencies:
Please note that Metova Talent does not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed Recruitment Services Agreement, there will be no obligation to any referral compensation or recruiter fee.
In the event a recruiter or agency submits a resume or candidate without an agreement, Metova Talent shall explicitly reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of Metova Talent.
Build and operate reliable data pipelines and integrations across marketing and business systems, shaping accurate customer data for segmentation, lifecycle campaigns, attribution, and performance reporting.
As a Senior Data Operations Engineer, you will ensure the health, performance, and cost efficiency of Snowflake accounts for customers, optimizing their data environments and providing expert support.
Architect, build, and operate scalable data infrastructure for research and trading, integrating market data, news, and other sources while ensuring data quality, performance, security, and cost efficiency.
Own the end-to-end data platform, designing multi-source ingestion, event-driven processing, and orchestrated workflows that deliver reliable, current data for downstream products.
Projeta, implementa e mantΓ©m pipelines de dados escalΓ‘veis na AWS, garantindo qualidade, integridade e seguranΓ§a, otimizando processos de ETL e colaborando com equipes de dados, engenharia e negΓ³cios.