DATA ENGINEER

Inicia con un contrato por 6 meses con posibilidad de extensión por otros 6 meses y después ser contratado por el lciente final en Estados Unidos

Bachelors degree in Computer Science, Engineering, or related field

Qualifications
Strong knowledge of advanced SQL, Python, and data modeling principles
Previous experience in data engineering, with a focus on extract and load stages of the pipeline
Experience with cloud warehouse preferably BigQuery, could also be Redshift, Snowflake, Azure, Cloud SQL, Athena, etc.
Strong problemsolving skills and ability to troubleshoot complex issues
Excellent communication and collaboration skills
Able to quickly learn new systems and software programs with minimal training, documentation or guidance
Experience with ETL platform like dbt, Dagster, DataBricks, SSIS, etc.
Experience with using cloud platforms for automation, like GCP, AWS, Microsoft, etc.
Works well in a team environment, as well as independently
Experience with data quality and validation checks
Experience with data pipeline optimization for scalability, reliability, and performance
Experience with GitHub
Handson experience with structured and unstructured database design
Experience in digital marketing data sets, including Google Ads, Microsoft Ads, Facebook Ads, Pinterest Ads, TikTok Ads, theTradeDesk, and Google Analytics is a plus
Experience creating and maintaining APIs a plus

Responsibilities Design, develop, and implement pipelines and integrations to connect to various client databases, as well as ingesting into a single base for our crossclient, agencywide database
Build and maintain various DAGs for orchestrationscheduling Develop and implement data quality and validation checks
Optimize data pipelines for scalability, reliability, and performance
Collaborate with analysts and analytic engineer to ensure data is properly
transformed and loaded into BigQuery
Work with other teams to define requirements for data pipelines and integrations
Monitor and troubleshoot data pipelines for errors and performance issues
Implement security and compliance best practices to protect our data
Maintain and enhance the existing technology stack
Develop, enhance, and maintain enduser computing or semiautomated tools using tools such as Salesforce Datorama, Adverity, Python, SQL, Google BigQuery, Airtable, Google Sheets, Excel, Looker Studio, and Tableau or other relevant BI tools
Document data dictionary, and data model that supports the enterprise data lake
Maintain reference lists, business rules, and other data documentation
Maintain high standards of software quality via code standardization, code
review, testing, deployment automation, and tooling
Respond to support requests and troubleshoot data and pipeline issues
Other tasks and projects as assigned

Skills
Strong problemsolving skills and ability to troubleshoot complex issues
Excellent communication and collaboration skills
Able to quickly learn new systems and software programs with minimal training, documentation or guidance
Works well in a team environment, as well as independently

Bolsa de trabajo México ofrecemos puesto de Data Engineer para el sector de Informatica Telecomunicaciones en la empresa Abril Barrientos Talento de San Pedro Garza García. Salario acorde a tu experiencia y al salario medio del sector. Actualiza ahora tu currículum vitae y postúlate a este empleo. Tipo de empleo Tiempo Completo.