Senior Data Engineer

hace 2 días

Guadalajara, Jalisco, México Peterson Technology Partners A tiempo completo

This new client team is focused on transforming data from client's important domains into reliable and real-time analytics products that address important business needs. You will be focused on building and operating data pipelines that power analytics ranging from key financial reports to production models that define the client website's user experience. You will play an important part in defining the strategy of the team, evaluating, and integrating data patterns and technologies, and building data products alongside domain experts. You are a thoughtful observer who enjoys investigating business problems and building data solutions that address them. You are a technical teacher that can guide teams to adopt the capabilities and products you build.

You Will:

  • As the Senior Data Engineer, your primary responsibility will be to design and implement highly efficient, reusable, and scalable data processing systems and pipelines in Databricks and Snowflake.
  • Design and implement technical solutions and processes to ensure data reliability and accuracy.
  • Develop data models and mappings and build new data assets required by users. Perform exploratory data analysis on existing products and datasets.
  • Educate data engineering teams in adopting new data patterns and tools.
  • Understand trends and emerging technologies and evaluate the performance and applicability of potential tools for our requirements.
  • Work within an Agile delivery / DevOps methodology to deliver product increments in iterative sprints.
  • Function as SME within this area when engaging with our AI, Platform, and Business Analytics teams to build useful pipelines and data assets.
  • Work with product and business to define roadmap, communication, and architecture.
  • Mentor junior team members.

You Have:

  • 8+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads.
  • 5+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi
  • 3+ years of experience prepping structured and unstructured data for data science models.
  • 3+ years of experience with containerization and orchestration technologies (Docker, Kubernetes) and experience with shell scripting in Bash, Unix or windows shell is preferable.
  • Implemented CI/CD with automated testing in Jenkins, Github Actions, or Gitlab CI/CD
  • Familiarity with AWS Services not limited to Glue, Athena, Lambda, S3, and DynamoDB
  • Demonstrated experience implementing data management life cycle, using data quality functions like standardization, transformation, rationalization, linking and matching.

Salary range: MXN 65,000-70,000 per month.

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