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    Job · 22622323

    GoFasti logo

    1184 - Senior Data Engineer

    GoFasti · Remote · remote · Posted 4d ago

    Not disclosed5+ yrsfulltimeSourced fromGreenhouse

    About a minute. You'll make an account on the way through.

    About this role

    We Make Remote Work Remarkable • TopTalent from LatAm

    Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.

    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   is   a   one-year   project   with   the   possibility   of   an   extension   based   on   the   client's   needs.

    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. Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process. 

    Note for Candidates Approached Directly: If you were contacted directly by a member of our team and are interested in this opportunity, please do not apply through this link. Instead, reach out to the person who contacted you to coordinate a meeting.

    Thank you!

    Sourced from greenhouse

    Skills

    DevopsApache SparkDatabricksPythonPower BiOnboardingSQLCi/Cd

    About GoFasti

    GoFasti logo

    GoFasti

    Dallas

    US

    About

    GoFasti is helping companies scale their teams with world-class talent in Latin America. GoFasti is the bridge between world-class developers and designers in LatAm and first-class companies around the world. Our experts are fluent English speakers working exclusively in US time zones. We have a rigorous screening process and in-depth technical assessment to ensure our hand-picked talent are fully qualified to meet our client's needs. We vet our talent with rigorous technical assessments and in-depth screening. We start presenting candidates' profiles within 48 hours. On average, our clients typically hire their ideal candidate within the first 10 days.

    Industries

    Human ResourcesInformation TechnologySoftwareSoftware Engineering

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