Data Engineer (Tableau)
Particle415 months ago
Remote, ArgentinaMid Level
Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines for large and diverse data sources.
- Build and optimize data lakes, data warehouses, data models, and unified data systems.
- Validate, cleanse, transform, and document data processes and systems.
- Build and maintain Tableau dashboards, reports, data sources, live connections, and performance-optimized extracts.
- Translate stakeholder reporting requirements into client-ready visual solutions and support ad hoc analysis.
- Build and maintain pipelines supporting model training, inference, evaluation, feature engineering, tokenization, and vector store integration.
- Gather technical requirements and collaborate with product managers and cross-functional stakeholders.
- Write unit and integration tests, troubleshoot defects and bottlenecks, and resolve data quality issues.
- Participate in sprint planning, stand-ups, reviews, and continuous improvement of data performance, security, and scalability.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- At least 3 years of experience as a Data Engineer.
- Strong proficiency in Python and SQL, with experience using MySQL, PostgreSQL, and MongoDB.
- Hands-on Tableau experience covering dashboard development, data source management, and performance optimization.
- Experience with data warehousing and lakehouse principles, Databricks, Spark, PySpark, and pandas.
- Experience building or supporting ML/AI data pipelines, including feature stores, vector databases, or model serving infrastructure.
- Familiarity with at least one of Azure, AWS, or GCP and working knowledge of ELK, Redis, and distributed task queues.
- Proficiency with Flask, scikit-learn, requests, pytest, and Python logging utilities.
- Comfort working in Linux and writing shell scripts, plus familiarity with Git and collaborative development workflows.
- Strong communication skills and ability to work with technical and non-technical teams.
Tech Stack
Apache SparkAWSAzureDatabricksFlaskGitGoogle Cloud PlatformLinuxMatplotlibMongoDBMySQLPandasPostgreSQLpytestPythonRedisscikit-learnSeabornSQL
Categories
Data Engineering
About Particle41
Particle41 is a software engineering consultancy that embeds product, DevOps, and data teams to build and modernize applications for startups and enterprises. It offers application development, cloud-native DevOps, data engineering/data science, and fractional CTO advisory on a project or retainer basis. Founded in 2015 and headquartered in Frisco, Texas, the privately held firm works alongside client engineering leadership to deliver in-house solutions.