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Sr Databricks Data Engineer

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Sr Databricks Data Engineer

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Sr Databricks Data Engineer

Skills

SQL QueriesBig DataData EngineeringKafkaDatabricksGitData AnalysisMachine LearningAI

1 month ago

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Important information


Contract type:

Permanent

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

21 September 2026

What they need


**Job Title: Senior Databricks Data Engineer (Portuguese and Spanish Speaker)

Location :** Brazil and Mexico (preference is Brazil)

Duration : 6 to 12 months

**Rates as per MSA.

Client -** Mondelez

Ideal Candidate Profile A Databricks specialist who can independently build and optimize enterprise data solutions, leverage Databricks Genie and Lakehouse capabilities for business value, mentor team members, and effectively engage with Portuguese-speaking stakeholders in a global delivery environment.

Role Summary We are seeking an experienced Senior Databricks Data Engineer with 5-10 years of experience in designing, building, and optimizing modern data platforms. The ideal candidate will have deep expertise in the Databricks ecosystem , including Databricks Genie, Delta Lake, Unity Catalog, SQL, Workflows , with a strong foundation in data engineering and analytics for Client. The candidate will be responsible for building scalable data pipelines, enabling self-service analytics, supporting AI-driven insights, and working closely with global stakeholders. Portuguese language proficiency is mandatory to effectively collaborate with Portuguese-speaking business and technical teams.

Key Responsibilities

  • Be an integral part of large-scale client delivery and data transformation engagements.
  • Design, develop, and maintain scalable data pipelines using Databricks and Spark technologies.
  • Build and optimize ETL/ELT workflows to ingest, process, and transform large volumes of structured and unstructured data.
  • Leverage Databricks Genie to enable natural language querying and self-service business insights.
  • Develop and manage Lakehouse architectures using Delta Lake and Databricks best practices.
  • Implement data governance, lineage, security, and access control using Unity Catalog.
  • Work across all phases of the SDLC including requirement gathering, design, development, testing, deployment, and support.
  • Perform performance tuning and optimization of Spark workloads and distributed data processing jobs.
  • Collaborate with data architects, data analysts, business stakeholders, and cross-functional teams to deliver business-driven solutions.
  • Mentor junior team members and contribute to technical excellence and engineering best practices.
  • Drive data quality, monitoring, and operational excellence across enterprise data platforms.
  • Communicate effectively with Portuguese-speaking stakeholders to understand requirements, provide updates, and deliver solutions.

Required Qualifications

  • Bachelor's or master's degree in computer science, Information Technology, Engineering, or a related field.
  • 5-10 years of experience in Data Engineering, Big Data, or Analytics Engineering.
  • Strong hands-on experience with the Databricks platform.
  • Expertise in:
  • Databricks Workflows
  • Databricks SQL
  • Databricks Genie
  • Delta Lake
  • Unity Catalog
  • Lakehouse Architecture
  • Strong programming experience in:
  • SQL
  • Experience designing and developing enterprise-scale data pipelines and data transformation frameworks.
  • Strong understanding of relational, dimensional, and modern data modeling techniques.
  • Experience handling large-scale distributed data processing workloads.
  • Knowledge of data governance, data quality, metadata management, and security best practices.
  • Experience with Git-based source control and CI/CD practices.

Preferred Qualifications

  • Experience implementing Data Intelligence and AI-powered analytics solutions within Databricks.
  • Familiarity with Machine Learning workflows and MLOps concepts.
  • Experience integrating Databricks with enterprise data sources, BI platforms, and reporting tools.
  • Knowledge of data streaming technologies such as Spark Structured Streaming and Kafka.
  • Databricks Certified Data Engineer Associate or Professional certification.
  • Experience working in global delivery environments.

Required Skills Technical Skills

  • Databricks
  • Databricks Genie
  • Delta Lake
  • Unity Catalog
  • Databricks SQL
  • Databricks Workflows
  • SQL
  • Data Modeling
  • ETL/ELT Development
  • Data Governance
  • Lakehouse Architecture
  • Git & CI/CD

Functional Skills

  • Team Handling and Mentoring
  • Stakeholder Management
  • Project Management
  • Problem Solving
  • Analytical Thinking
  • Communication Skills
  • Creative Thinking
  • Client Engagement

Language Requirement

  • Portuguese ans Spanish (Read, Write, and Speak) - Mandatory
  • English proficiency required for global collaboration.

Experience 5-10 Years

Education

B.E./B.Tech./M.Tech in Computer Science, Information Technology, Engineering, or a related discipline OR equivalent professional experience.

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