Senior Data Engineer – PowerBI, Data Integration

This is a fully remote position, open to applicants in Guatemala.

📋 Description

• Collaborate with stakeholders in the U.S. to design and define solutions. Identify approaches that address business challenges, converting requirements into technical specifications and actionable tasks.

• Write code and implement the proposed solutions effectively.

• Create and manage data pipelines, including versioning and change management.

• Navigate the complexities associated with versioned data pipelines.

• Develop ETL/ELT processes to extract and manipulate data from various sources.

• Design, construct, and maintain batch or real-time data pipelines in a production environment.

• Automate data workflows, including data ingestion, aggregation, and ETL processing.

• Implement logging and instrumentation for pipelines and services.

• Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.

⛳️ Requirements

• Proven expertise with at least 5+ years of experience in a data engineering role or a similar capacity.

• Advanced SQL proficiency and experience with relational databases and database design.

• Familiarity with cloud Data Warehouse solutions (e.g., Snowflake, Redshift, BigQuery, Azure Synapse, etc.).

• Strong Python skills, with hands-on experience using Pandas, NumPy, and other data-related libraries.

• Experience with Big Data technologies such as Spark, MapReduce, Hadoop, Hive, etc.

• Proficient in data pipeline and workflow management tools like Airflow.

• Experience with data visualization tools including PowerBI, Tableau, AWS QuickSight, etc.

• Experience with data engineering services from AWS/Azure/GCP.

• Knowledge of AWS services such as S3, Lambda, EMR, GLUE ETL, Athena, RDS, Redshift, EC2, IAM.

• OR

• Knowledge of Azure services such as ADF, Azure Synapse Analytics, ADLS Gen2, Azure SQL DB.

• Strong exposure to working with Data Lakes and Data Warehouses.

• Excellent problem-solving, communication, and organizational skills.

• Proven ability to work both independently and collaboratively within a team.

• Capability to mentor other data engineers.

• High proficiency in English is required for direct interaction with U.S.-based clients.

🏝️ Benefits

• Medical insurance benefits according to company policy.

• Life insurance as per company policy.

• 15 days of paid vacation, sick leave, and paid holidays in accordance with local law.

• Paternity and maternity leave as mandated by local law.

• Marriage, bereavement, and graduation leaves according to company policy.

• Sick leave and paid holidays in compliance with local law.

• Christmas and mid-year bonuses as per local law.

• Monthly productivity bonuses in line with local law.

• Discounts at local shops.

• Direct deposit of payroll.

• Paid professional certifications.