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Muttdata

Posted 39 months ago

Open

Data Engineer Lead

ArgentinaRemoteFull-time

AI Summary

Data Engineer Lead plans and guides the design of data pipelines and analytics solutions, mentors teams, and collaborates with stakeholders to translate business needs into technical solutions.

About this role

๐Ÿš€ Join Our Data Products and Machine Learning Development Remote Startup! ๐Ÿš€
Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
Weโ€™re looking for a Data Engineer Lead to help take our expertise to the next level. If you consider yourself a data nerd like us, weโ€™d love to connect! ๐Ÿถ๐Ÿš€

๐Ÿš€ What We Do

  • Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
  • Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
  • Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
  • Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
  • ๐ŸŒŸ Our Partnerships

  • Amazon Web Services
  • Astronomer
  • Databricks
  • ๐ŸŒŸ Our values

  • ๐Ÿ“Š We are Data Nerds
  • ๐Ÿค— We are Open Team Players
  • ๐Ÿš€ We Take Ownership
  • ๐ŸŒŸ We Have a Positive Mindset
  • ๐Ÿ” Curious about what weโ€™re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects weโ€™re working on! ๐Ÿš€

    Responsibilities ๐Ÿค“

  • Partner with cross-functional teams to define BI and analytics
    requirements
  • Innovate with new tools to improve Mutt Data's infrastructure and processes.
  • Design dimensional data models and build scalable data pipelines
  • Develop data models to feed dashboards for teams across the org, as well
    as client-facing analytics
  • Develop tools for the team and assist in tech migrations and model design.
  • Build scalable, high-performance data architectures.
  • Focus on code qualityโ€”review, document, test, and integrate CI/CD.
  • Required Skills ๐Ÿ’ป

  • Experience leading and mentoring teams in Data projects, guiding technical decisions, and fostering team growth.
  • Proven ability to collaborate with stakeholders, translate business needs into technical solutions, and align priorities across teams.
  • Experience in Data Engineering, including building and optimizing data pipelines.
  • Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).
  • Experience working with any cloud (AWS, GCP, Azure).
  • Knowledge of Docker.
  • Experience with orchestration tools like Airflow or Prefect.
  • Familiarity with ETL processes and automation.
  • Nice to Have Skills ๐Ÿ˜‰

  • Experience with stream processing tools like Kafka Streams, Kinesis, or Spark.
  • Knowledge of Kubernetes.
  • Solid command of English for understanding and communicating technical concepts (Design Documents, etc.).
  • ๐ŸŽ Perks

  • Remote-first culture โ€“ work from anywhere! ๐ŸŒ
  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • In-Company English Lessons.
  • Birthday off + an extra vacation week (Mutt Week! ๐Ÿ–๏ธ)
  • Referral bonuses โ€“ help us grow the team & get rewarded!
  • Maslow: Monthly credits to spend in our benefits marketplace.
  • โœˆ๏ธ๐Ÿ๏ธ Annual Mutters' Trip โ€“ an unforgettable getaway with the team!
  • Skills

    AirflowAWSAzureCI/CDCloud PlatformsData ModelingData PipelinesDimensional ModelingDockerETLGCPJupyterKafka Streams/Kinesis/SparkKubernetes (nice To Have)NumPyPandasPrefectPythonSQLStream Processing (nice To Have)

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