Mod Op

Junior Data Engineer

Mod Op

full-time

Posted on:

Location Type: Hybrid

Location: Panama City • 🇵🇦 Panama

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Job Level

Junior

Tech Stack

AirflowAmazon RedshiftApacheAWSAzureBigQueryCassandraCloudETLGoogle Cloud PlatformNoSQLNumpyPandasPythonScikit-LearnSparkSQLTableau

About the role

  • Data Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines in GCP, Azure & AWS using various services including Data Flow, Composer, Azure Synapse, AWS Data Pipelines and etc.
  • Data Integration: Work with structured and unstructured data sources, including CRM and marketing data platforms.
  • Database Management: Develop and optimize queries for SQL & NoSQL databases (Teradata, BigQuery, Cassandra, etc.).
  • Data Science & ML: Implementing Models using GCP Vertex ai and utilizing Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.) for data analysis and ML model deployment.
  • Data Visualization: Build and manage dashboards using Google Looker and Tableau to provide business insights.
  • Collaboration: Work closely with data analysts, marketing teams, and other stakeholders to understand business needs and implement effective data solutions.

Requirements

  • Cloud Expertise: GCP or AWS (Data Engineering or ML focus) experience.
  • Programming Skills: Strong proficiency in Python and experience with its data science libraries.
  • Database Management: Experience with SQL (Teradata, BigQuery, etc.) and NoSQL databases.
  • Data Visualization: Hands-on experience with Google Looker and Tableau for reporting and dashboards.
  • CRM & Marketing Data: Experience working with CRM, marketing platforms, and analytics tools.
  • Machine Learning Knowledge: working GCP/Azure/AWS Services with ML workflows, model training, AI Models and deployment.
  • Data Automation & Transformation: Knowledge with Alteryx for workflow automation and data preparation.
  • Preferred Qualifications:
  • Experience with data warehousing solutions (Snowflake, Redshift, etc.).
  • GCP Certified focused on Data Engineering.
  • Exposure to Apache Spark, Airflow, or other data orchestration tools.
  • Strong understanding of data governance, security, and compliance.
Benefits
  • Health and Life Insurance for employees and family, access to Vision benefits, Telemedicine services, Psychology support and others.
  • On the job training and career growth opportunities.
  • Access to LinkedIn courses.
  • Fully remote job.
  • Talented team environment, collaborative offices, fun company culture with a great balance of work and play.
  • Vacations are granted by day or weeks according to employee approved request.
  • Salary with yearly review and competitive benefits.
  • Competitive compensation based on experience and skill set.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
ETLELTPythonSQLNoSQLMachine LearningData VisualizationData AutomationData TransformationData Warehousing
Soft skills
Collaboration
Certifications
GCP Certified