Senior/Principal Data Engineer (Python, Spark, Databricks, Azure)
Global Logic
Buenos Aires, Argentina
hace 2 días

Description :

Our client is one of the leaders in Software as a service in the world of business applications.

You will be working on a data platform.

About the platform :

A suite of products to deliver a flexible modern data estate in the customer’s Azure tenant without the major expense and effort of a large buildout or data program.

We build, deliver, and update a data platform for customers to build on top of, without the hassle and expense of an implementation.

Customers see data available in their environment week one, with sophisticated history and query technology no engineering!

Requirements :

  • 4+ years building conceptual, logical and / or physical database designs, or the pipelines required to build them
  • 2+ years of hands-on Python experience (especially WHL and packed code)
  • Expert level knowledge of using SQL to write complex, highly optimized queries across large volumes of data.
  • 2+ years of Kimball (Dimensional Modeling) Expertise
  • 2+ years of Spark experience (especially Databricks Spark and Delta Lake)
  • Experience with source control (git) on the command line
  • Strong hands-on experience implementing big-data solutions in the Azure Data Lake ecosystem (Azure Data Lake, Databricks).
  • Ability to work independently and provide guidance to junior data engineers.
  • preferred) Experience with big data pipelines or DAG Tools (Dbt, Data Factory, Airflow, or similar)
  • preferred) Experience with Kafka or other streaming technology (or a willingness to learn)
  • preferred) Experience with database deployment pipelines (i.e., dacpac’s or similar technology)
  • preferred) Once or more unit testing or data quality frameworks
  • bonus) Experience with MLFlow and other MLOps pipeline technology
  • Preferences :

    azure data factory, Kafka

    Job Responsibilities :

  • Take major part in requirements definition, architecture, and design;
  • Architect of subsystems and understand the impact across products;
  • Design and implement core data flow components in accordance with project standards;
  • Regular communications with the client and teams;
  • Ensure project delivery in a timely matter;
  • Lead engineering efficiency efforts. Improve operational efficiency;
  • Daily project activities (daily standups, technical advisory, reporting, etc);
  • Collaborating with the Dev Leads and Product Manager to ensure that the requirements;
  • Managing daily project activities.

    What We Offer

    Exciting Projects : Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.

    Collaborative Environment : Expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment or even abroad in one of our global centers or client facilities!

    Work-Life Balance : GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.We offer you the best quality of work life so that you exceed the expectations of our clients, while achieving your professional and personal ambitions.

    Professional Development : Our dedicated Learning & Development team regularly organizes English classes, professional certifications, and technical and soft skill trainings.

    We also offer the chance to travel internationally

    Excellent Benefits : We provide our employees with competitive salaries, family medical insurance, extended paternity leave, annual performance bonuses, and referral bonuses.

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