We need an English-fluent Senior Data Engineer, based in Latin America, available to work remotely.

We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills.

Are you the one we are looking for?

Responsibilities:

• Design, build, and maintain data pipelines and analytics solutions in Databricks.

• Write and optimize SQL (including Spark SQL) and Python code for data processing and analysis.

• Work with developers and IT teams to deliver data analytics projects.

• Apply DevOps practices and CI/CD methods to data workflows.

• Build and support Power BI reports and dashboards.

• Contribute to data modeling, data management and data governance standards.

• Roll up your sleeves on day-to-day technical work, not only design and oversight.

Requirements:

• Minimum 5 years of experience as a Data Analyst, Data Engineer, or similar role.

• Background in software development and IT projects related to data analytics.

• Practical programming knowledge in SQL and Python, and experience working with developers.

• Good understanding of DevOps tools and CI/CD methods.

• Extensive hands-on experience with Databricks.

• Advanced user-level experience with cloud services and platforms.

• Experience with visualization tools such as Power BI.

• Solid understanding of data modeling, data management and data governance.

• Fluent, business-level English.

It's a plus:

• Experience with Spark SQL.

• Exposure to SAP S/4HANA or other ERP data.

Compensation:

• The salary range offered for this position varies from (USD) $3,000 - $4,500 per month, depending on seniority and skillset.

• This position is for a full time contract, through a payroll platform.

• The talent will work remotely allocated at our client.

Here are the steps for this process:

Application review/approval > Screening interview with GoFasti's team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.