Senior Data Engineer – PowerBI, Data Integration

3Pillar Global

Senior Data Engineer at 3Pillar, leveraging data analytics to provide competitive advantages for clients. Work with AI-native products in a global team environment.

Posted 6/18/2026full-timeRemote • 🇬🇹 GuatemalaSeniorWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureBigQueryCloudEC2ETLGoogle Cloud PlatformHadoopNumpyPandasPythonSparkSQLTableau

About the role

Key responsibilities & impact

Collaboration with U.S-based client stakeholders on solution design/definition. Identify solutions that solve business problems, translating requirements into technical specifications and actionable work.
Writing code and implementing the proposed solutions
Creating data pipelines, versioning and change management
Manage the complexity inherent in versioned data pipelines
Develop ETL/ELT processes to help extract and manipulate data from multiple sources.
Design, build and maintain batch or real-time data pipelines in production.
Automate data workflows such as data ingestion, aggregation, and ETL processing.
Logging and instrumentation of pipelines and services.
Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.

Requirements

What you’ll need

Demonstrated expertise with a minimum of 5+ years of experience as data engineer or similar role
Advanced SQL skills and experience with relational databases and database design.
Experience working with cloud Data Warehouse solutions (e.g., Snowflake, Redshift, BigQuery, Azure Synapse, etc.).
Strong Python skills with hands-on experience on Pandas, NumPy and other data related libraries
Experience with Big Data technologies like Spark, Map Reduce, Hadoop, Hive etc
Proficient in data pipeline and workflow management tools e.g. Airflow
Experience with data visualization tools like PowerBI, Tableau, AWS QuickSight etc
Experience with the AWS/Azure/GCP data engineering services
Knowledge of AWS services viz., S3, Lambda, EMR, GLUE ETL, Athena, RDS, Redshift, EC2, IAM
OR
Knowledge of Azure services viz., ADF, Azure Synapse Analytics, ADLS Gen2, Azure SQL DB
Very good exposure of working on Data Lakes & Data Warehouses solutions
Excellent problem-solving, communication, and organizational skills.
Proven ability to work independently and with a team.
Ability to guide other data engineers.
High level of English proficiency required to interact directly with U.S-based client.

Benefits

Comp & perks

Medical Insurance benefits as per company policy.
Life Insurance as per company policy
15 days of paid vacation, sick leave and paid holidays as per local law
Paternity and maternity leave as per as per local law
Marriage, bereavement and graduation leaves as per company policy
Sick leave and paid holidays as per local law
Christmas and Middle year bonuses as per local law
Monthly productivity bonus as per local law
Discounts in local shops
Direct deposit of payroll.
Paid professional certifications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonETLELTdata pipeline managementdata manipulationdata visualizationBig Data technologiesdata warehouse solutionsdata lakes

Soft Skills

problem-solvingcommunicationorganizationalteamworkindependenceguidance