Senior Data Engineer

    LATAM
    Full-Time
    Senior (7+ yrs)
    Engineering & Development
    Posted on July 26, 2022
    What you will do...

    As a member of our Data Engineering team, you will be working with fast-paced innovative companies, leveraging Cloud as the key driver of their transformation. They will look at you as their trusted advisor, someone they can rely on and who will be there to help them along their journey on Google Cloud. You will be expected to cover a large spectrum of technology topics like ETL/ELT, Data Warehousing, Distributed Data Processing, and Streaming Data systems.

    Responsibilities:

    Design, build, and optimize large-scale distributed data pipelines using Apache Beam / Google Cloud Dataflow, Apache Spark, or Apache Flink.
    Develop ETL/ELT workflows on GCP integrating multiple structured and unstructured data sources.
    Address schema, type conversion, and performance optimization challenges when migrating data warehouses to BigQuery.
    Implement observability, monitoring, logging, and error-handling within pipelines.
    Collaborate with Data Analysts to integrate validation rules, QA checks, and automated testing into the pipeline lifecycle.
    Support large-scale data migrations and performance tuning for high-volume workloads.

    Who we need...
  1. 4+ years working as a Data Engineer in modern cloud environments.
  2. 2+ years hands-on experience in GCP (BigQuery, Dataflow, Dataform, Composer, Dataproc, Pub/Sub).
  3. Strong experience with distributed data processing frameworks (experience in at least one is required)
  4. Apache Beam / Google Cloud Dataflow
  5. Apache Spark
  6. Apache Flink
  7. Proficiency in:
  8. Python (pipeline development)
  9. SQL (Oracle + BigQuery dialects ideal)
  10. Apache Airflow (orchestration)
  11. Experience with big data workloads, batch/streaming pipelines, and large-scale data migrations.
  12. Experience with data warehousing (BigQuery, Snowflake, Databricks a plus).
  13. Familiarity with CI/CD, MLOps, or data quality frameworks is an advantage.
  14. Why work here...
  15. We are professionals you can Trust. Our people have the extensive experience to get the job done
  16. We share unbiased opinions and are comfortable with the hard truths. You are the subject matter experts for our customers.
  17. We are the Missing Link. You will connect our customers to Google and move quickly when others can’t
  18. We remove uncertainty and risk by clearly outlining the process of cloud migration for our customers
  19. We accelerate timelines and do not dwell on a challenge. You’ll move faster and expose “unknown unknowns” for our customers
  20. We show empathy. Our customers believe in us because we can relate to their complexities.
  21. How to succeed...
  22. First rule at Zencore - Be Kind
  23. Own the process - own your customer’s success by proactive practices
  24. Work hard to reach the destination, but make sure to enjoy the journey
  25. Champion a consistent collaborative culture
  26. Be receptive to Feedback
  27. Challenge the Status Quo
  28. Company:  Zencore

    Provides Google Cloud consulting and engineering services, including cloud migration, data platforms, AI/ML, and application modernization.
    Remote-First Company
    51-200 employees
    Consulting & Strategy
    HQ: United States