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Job Post Details

Data Engineer - job post

Talentus
4.3 de 5 estrellas
Remote

Información del empleo

Así es como las especificaciones del empleo se alinean con tu perfil.

Tipo de empleo

  • Tiempo completo

Ubicación

Remote

Descripción completa del empleo

At Talentus, we are looking for you!

We are a US company with a strong presence in LATAM and across 20 countries around the world. Some of our key near-shore BPO services include: smart-sourcing, dedicated or cluster teams, managed IT services, software outsourcing and the top ERP & CRM solutions, driven by our practices across many different industries.

We are currently looking for a Data Engineer to become a valuable addition to our dynamic team! The Data Engineer will work closely with a multi-disciplinary agile team to build high-quality data pipelines driving analytic solutions. These solutions will generate insights from the organization's connected data, enabling the advancement of data-driven decision-making capabilities of the enterprise. This role requires a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data engineer with experience creating data products supporting analytics solutions. Finally, possessing strong problem-solving skills, working as part of a technical, cross-functional analytics team, and desiring to solve complex data problems and deliver the insights to enable analytics strategy.

Responsibilities:
  • Design, develop, and maintain data pipelines to ingest, process, and store large volumes of structured and unstructured data from various sources.
  • Implement ETL (Extract, Transform, Load) processes to ensure data is transformed and loaded into data warehouses, data lakes, or other storage solutions.
  • Create data products for analytics and data scientist team members to improve their productivity.
  • Create and maintain comprehensive documentation for data pipelines, data models, and database configurations.
  • Conduct training sessions and provide support to end-users and other team members on data access and usage.
  • Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.
  • Develop and implement data quality checks, validation rules, and monitoring processes to ensure data accuracy and completeness.
  • Collaborate with data governance teams to establish and enforce data standards and best practices.
  • Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.

Key Skills:

Domain Expertise:
  • Bachelor's degree preferred; Computer Science, MIS, or Engineering preferred
  • 5+ years of experience working in data engineering or architecture role, 7+ preferred (3 years preferred for Jr. role)
  • Significant experience developing and maintaining data warehouses in big data solutions (e.g., Snowflake, SAP Hana, Oracle, SQL Server, Teradata, etc.)
  • Proficiency in programming languages such as Python, Java, Scala, or SQL
  • Experience developing and maintaining ETL/data pipelines (e.g., Microsoft SSIS, Azure Data Factory)
  • Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred)
  • Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies
  • Strong knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
  • Big Data Development experience using Hive, Impala, Spark and familiarity with Kafka
  • Exposure to machine learning data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
  • Experience with ETL tools and processes (e.g., Apache NiFi, Talend, Informatica)
  • Cloud environment preferred but not required

Agile / Analytics Experience:
  • Passionate about data-driven development, reliability, and experimentation
  • Experience working on a collaborative agile product team
  • Passionate and curious about data

Individual Skills:
  • Strong written and verbal communication skills
  • Demonstrated success with problem-solving and learning skills
  • Ability to work and direct work with excellent communication, listening, and influencing skills
  • English C1 or above is required.

Motivators & Behaviors:
  • Ability to handle ambiguity and willing to adjust position based on additional information
  • Ability to collaborate and influence at an abstract level and gain consensus
  • Comfortable working within a matrixed environment

What do we offer?
  • Contractor model
  • 100% remote
  • Salary in USD
  • Paid Vacations
  • Day off for birthdays
  • Benefits courses and/or certifications
  • Work on leading projects for our US customers, and not on the bench

Join us!
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