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Data Engineer

hace 2 meses

Guadalajara, Jalisco, México FlexTal Staffing LLC A tiempo completo
About the Role

We are seeking a highly skilled Data Engineer to join our team at FlexTal Staffing LLC. As a Data Engineer, you will play a critical role in designing, building, and maintaining scalable data pipelines and infrastructure to support our business operations.

Key Responsibilities
  • Data Pipeline Development: Design, develop, and maintain scalable ETL pipelines to process large volumes of structured and unstructured data from various sources.
  • Collaboration with Cross-Functional Teams: Work closely with data scientists, analysts, and software engineers to understand data requirements and ensure optimal data delivery architecture.
  • Data Validation and Cleansing: Implement data validation and cleansing processes to ensure data quality and consistency.
  • Data Storage Solutions: Develop and optimize data storage solutions (such as data lakes, warehouses, and databases) to support analytics and reporting needs.
  • Cloud-Based Data Platforms: Work with cloud-based data platforms and services (e.g., AWS, Azure, GCP) to deploy and manage data infrastructure.
  • Code Reviews and Documentation: Participate in code reviews and maintain comprehensive documentation for data pipelines and processes.
  • Monitoring and Troubleshooting: Monitor and troubleshoot data workflows to ensure reliability, efficiency, and scalability.
  • Data Strategy and Governance: Collaborate with team members to drive the overall data strategy and provide input on data governance and best practices.
Requirements
  • Professional English Proficiency: Strong verbal and written communication skills in English are a must, as you will be collaborating with international teams.
  • Location Requirement: Must be based in a location that allows for remote work and occasional in-office meetings.
  • Experience: 3+ years of experience in a data engineering role or similar.
  • Technical Skills:
    • Strong programming skills in Python, SQL, and familiarity with other languages such as Java or Scala.
    • Experience with data pipeline orchestration tools such as Apache Airflow, Prefect, or similar.
    • Hands-on experience with cloud-based data storage and processing services (AWS S3, Redshift, Glue, Azure Data Lake, GCP BigQuery, etc.).
    • Familiarity with big data technologies such as Apache Spark, Hadoop, Kafka, or Flink.
    • Experience with database management systems (e.g., MySQL, PostgreSQL, NoSQL databases).
  • Data Modeling and Warehousing: Strong understanding of data modeling, schema design, and building data warehouses.
  • Data Tools: Experience with data visualization and BI tools (Tableau, Power BI, Looker) is a plus.
  • Problem-Solving Mindset: Ability to work independently and collaboratively in a fast-paced environment, with a proactive approach to solving complex problems.
  • Attention to Detail: Strong analytical skills and attention to detail to ensure data quality and reliability.
  • Adaptability: Comfortable working in a dynamic and unstructured startup environment, with a willingness to learn and adapt to new tools and technologies.
Benefits
  • Competitive Salary and Benefits Package: We offer a comprehensive benefits package, including a competitive salary, medical insurance, and paid time off.
  • Professional Development Opportunities: We invest in our employees' growth and development, providing opportunities for training, mentorship, and career advancement.
  • Flexible Work Arrangements: We offer flexible work arrangements, including remote work options and a hybrid schedule.
  • Collaborative and Dynamic Work Environment: We foster a collaborative and dynamic work environment, with a focus on teamwork, innovation, and continuous improvement.