Jobgether
Jobgether

Engenharia de Dados (Databricks)

datafull-timeBrazil
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
general
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About the role

Accountabilities

    • Design, develop, and continuously evolve scalable data solutions within cloud environments.

    • Build, maintain, and optimize data pipelines for processing and transforming large volumes of data.

    • Use Databricks, Python, PySpark/Spark, SQL, Delta Lake, and Lakehouse architecture to deliver robust data engineering solutions.

    • Develop and manage Databricks Workflows and Jobs, ensuring effective pipeline orchestration.

    • Apply best practices for data performance, governance, monitoring, reliability, and operational support.

    • Analyze technical and business requirements and translate them into sustainable, high-quality data solutions.

    • Identify opportunities to improve architecture, processes, automation, and overall efficiency.

    • Work autonomously while collaborating with data and technology teams to evolve the organization's data capabilities.

    • Requirements

      • Solid professional experience as a Senior Data Engineer.

      • Strong hands-on expertise with Databricks and cloud-based data architecture.

      • Proven experience designing, developing, and evolving data pipelines.

      • Strong knowledge of ETL/ELT processes and large-scale data processing.

      • Professional experience with Python and PySpark/Spark.

      • Solid SQL skills.

      • Experience with Delta Lake and Lakehouse architecture.

      • Knowledge of Databricks Workflows/Jobs and data pipeline orchestration.

      • Understanding of best practices related to performance optimization, data governance, monitoring, and solution maintenance.

      • Hands-on and autonomous profile, with the ability to take ownership of technical challenges and drive solutions forward.

      • Strong analytical and problem-solving skills, with a continuous improvement mindset.

      • Benefits

        • Permanent CLT employment contract.

        • 40-hour workweek with flexible working hours.

        • Fully remote work model.

        • SulAmérica health and dental insurance, including eligible dependents.

        • Flexible meal and food allowance through Caju Benefits.

        • Life insurance.

        • Home-office allowance through Caju Benefits.

        • Wellhub (Gympass).

        • TotalPass.

        • SESC benefits, including eligible dependents and access to services throughout Brazil.

        • Corporate learning through an internal university with more than 20,000 courses.

        • Language Academy for professional language development.

        • Internal knowledge-sharing sessions, talks, and technical chapters.

        • Pet health plan through Guapeco.

        • Onhappy travel and leisure benefit.

        • Option to use your own notebook through a monthly BYOD allowance or use company-provided equipment.

        • Birthday cake benefit.

        • Referral reward program for recommending new employees.

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Engenharia de Dados (Databricks) at Jobgether — Remote