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Urgent! Nearshore Data Engineer – Modern Data Platform Job Opening In WorkFromHome – Now Hiring Tential Solutions

Nearshore Data Engineer – Modern Data Platform



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Job Description: Data Engineer

Job Description: Data Engineer
Position Overview: We are seeking an experienced and skilled remote Data Engineer in Mexico to join our dynamic data team.

The ideal candidate should have a strong background in building efficient and scalable data pipelines, designing robust data architectures, and implementing ETL/ELT processes.

The role requires proficiency in T-SQL, PySpark, Python, Azure Synapse Analytics, Azure Data Factory, and SSIS.

The Data Engineer will play a critical role in ensuring the availability, integrity, and reliability of our data assets, contributing to the success of our data-driven initiatives.
Responsibilities

  • Design, develop, and maintain end-to-end data pipelines, ensuring smooth and efficient data flow from various source systems to target destinations.

  • Collaborate with cross-functional teams to gather requirements, understand data needs, and implement data solutions that align with business objectives.

  • Build and optimize data architectures for storing, processing, and analyzing large volumes of structured and unstructured data.

  • Implement robust ETL/ELT processes to transform raw data into clean, usable formats, addressing data quality and consistency concerns.

  • Work with data stakeholders to define data integration and transformation requirements, and translate them into technical solutions.

  • Develop and maintain documentation for data pipelines, data models, and architectural designs, ensuring knowledge sharing across the team.

  • Monitor and troubleshoot data pipelines, addressing performance bottlenecks, data quality issues, and ensuring data accuracy.

  • Collaborate with the data infrastructure team to ensure data security, compliance, and privacy standards are upheld.

  • Stay up-to-date with industry best practices, emerging technologies, and trends in data engineering, contributing insights to the team’s continuous improvement efforts.
Qualifications
  • Bachelor’s degree in Computer Science, Information Technology, or a related field.

    Master’s degree is a plus.

  • 6+ years of proven experience as a Data Engineer or in a similar role, with a strong track record of designing and implementing data pipelines and architectures.

  • Proficiency in T-SQL, PySpark, Python, and ETL/ELT methodologies, with hands-on experience in developing complex data transformations.

  • Expertise in working with Azure Synapse Analytics (with expertise in Azure Data Factory, Azure DevOps and Azure DataBricks being nice-to-have) designing and implementing solutions within the Azure ecosystem.

  • Solid understanding of data warehousing concepts, data modeling, and database design principles.

  • Experience with SSIS (SQL Server Integration Services) for ETL processes.

  • Familiarity with Spark SQL for big data.

  • Strong problem-solving skills and the ability to diagnose and resolve issues in data pipelines.

  • Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders.

  • Attention to detail and a commitment to producing high-quality work.

  • Proactive attitude, adaptability to change, and willingness to learn and apply new technologies.

  • Relevant certifications in Azure, data engineering, big data, or related fields are a plus.

  • Must be located in Mexico
#Remote

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology

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