Data Lead Engineer – Snowflake

Ampstek; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading data solutions company is seeking a Data Lead Engineer specializing in Snowflake. The ideal candidate will have over 8 years of data engineering experience, providing technical mentorship and leading projects that implement efficient data pipelines. Responsibilities include architecting scalable solutions, collaborating with cross-functional teams, and ensuring data governance compliance. This remote position targets candidates with strong programming skills in Python and significant experience with orchestration tools like Apache Airflow.

Qualificações

• 8+ years of experience in data engineering with proven leadership.
• Strong programming skills in Python for ETL pipelines.
• Experience with Snowflake for data warehouse management.
• Knowledge of Apache Airflow for workflow management.
• Understanding of message queues like Kafka for data ingestion.
• Ability to architect scalable solutions for terabytes of data.
• Experience with Apache Iceberg for data lake management.
• Proficient with CI/CD processes in development environments.
• Worked in Agile environments with cross-functional teams.
• Strong data governance background for compliance.

Responsabilidades

• Provide technical leadership and mentorship to a data engineering team.
• Architect, implement, and optimize end-to-end data pipelines.
• Design workflows with Apache Airflow for high availability.
• Lead the implementation of Snowflake and data lake technologies.
• Build robust systems for real-time and batch processing.
• Collaborate with Data Science and Product teams for requirements.
• Establish data governance frameworks for compliance and integrity.
• Optimize performance for systems processing large datasets.
• Drive team collaboration and continuous learning.
• Evaluate and incorporate new technologies into the organization.

Conhecimentos

Data engineering experience

Python programming skills

Snowflake expertise

Orchestration tools knowledge

Message queue experience

Data architecture skills

Apache Iceberg experience

Containerization with Docker

CI/CD knowledge

Agile development experience

Ferramentas

Snowflake

Apache Airflow

Kafka

Docker

Kubernetes

Descrição da oferta de emprego

Title: Data Lead Engineer – Snowflake

Location: Remote Mexico / Brazi

Job Type: Contract

Responsibilities

• Technical Leadership: Provide technical direction and mentorship to a team of data engineers, ensuring best practices in coding, architecture, and data operations.
• End-to-End Ownership: Architect, implement, and optimize end-to-end data pipelines that process and transform large-scale datasets efficiently and reliably.
• Orchestration and Automation: Design scalable workflows using orchestration tools such as Apache Airflow, ensuring high availability and fault tolerance.
• Data Warehouse and Lake Optimization: Lead the implementation and optimization of Snowflake and data lake technologies like Apache Iceberg for storage, query performance, and scalability.
• Real-Time and Batch Processing: Build robust systems leveraging Kafka, SQS, or similar messaging technologies for real-time and batch data processing.
• Cross-Functional Collaboration: Work closely with Data Science, Product, and Engineering teams to define data requirements and deliver actionable insights.
• Data Governance and Security: Establish and enforce data governance frameworks, ensuring compliance with regulatory standards and maintaining data integrity.
• Scalability and Performance: Develop strategies to optimize performance for systems processing terabytes of data daily while ensuring scalability.
• Team Building: Foster a collaborative team environment, driving skill development, career growth, and continuous learning within the team.
• Innovation and Continuous Improvement: Stay ahead of industry trends to evaluate and incorporate new tools, technologies, and methodologies into the organization.

Qualifications

• Required Skills: 8+ years of experience in data engineering with a proven track record of leading data projects or teams.
• Strong programming skills in Python, with expertise in building and optimizing ETL pipelines.
• Extensive experience with Snowflake or equivalent data warehouses for designing schemas, optimizing queries, and managing large datasets.
• Expertise in orchestration tools like Apache Airflow, with experience in building and managing complex workflows.
• Deep understanding of messaging queues such as Kafka, AWS SQS, or similar technologies for real-time data ingestion and processing.
• Demonstrated ability to architect and implement scalable data solutions handling terabytes of data.
• Hands-on experience with Apache Iceberg for managing and optimizing data lakes.
• Proficiency in containerization and orchestration tools like Docker and Kubernetes for deploying and managing distributed systems.
• Strong understanding of CI / CD pipelines, including version control, deployment strategies, and automated testing.
• Proven experience working in an Agile development environment and managing cross-functional team interactions.
• Strong background in data modeling, data governance, and ensuring compliance with data security standards.
• Experience working with cloud platforms like AWS, Azure, or GCP.

Preferred Skills

• Proficiency in stream processing frameworks such as Apache Flink for real-time analytics.
• Familiarity with programming languages like Scala or Java for additional engineering tasks.
• Exposure to integrating data pipelines with machine learning workflows.
• Strong analytical skills to evaluate new technologies and tools for scalability and performance.

Leadership Skills

• Proven ability to lead and mentor data engineering teams, promoting collaboration and a culture of excellence.
• Exceptional communication and interpersonal skills to articulate complex technical concepts to stakeholders.
• Strategic thinking to align data engineering efforts with business goals and objectives.