Senior Data Engineer, PowerBI, Data Integration

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

📋 Description

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

• Code and implement the proposed solutions.

• Develop data pipelines, along with versioning and change management practices.

• Navigate the complexities associated with versioned data pipelines.

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

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

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

• Log and instrument pipelines and services.

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

⛳️ Requirements

• Proven expertise with at least 5+ years of experience as a data engineer or in a similar position.

• Proficient in SQL with extensive experience in relational databases and database design.

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

• Strong Python programming skills with practical experience in libraries such as Pandas and NumPy.

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

• Skilled in data pipeline and workflow management tools, e.g., Airflow.

• Experience with data visualization tools like PowerBI, Tableau, and AWS QuickSight.

• Familiarity with AWS/Azure/GCP data engineering services.

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

• OR

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

• Significant experience with Data Lakes and Data Warehouse solutions.

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

• Demonstrated capability to work both independently and collaboratively within a team.

• Ability to mentor fellow data engineers.

• High level of English proficiency required for direct interaction with U.S.-based clients.

🏝️ Benefits

• Medical insurance benefits in accordance with company policy.

• Life insurance as per company policy.

• 15 days of paid vacation plus additional days based on tenure.

• Vacation bonus in compliance with local law.

• Sick leave and paid holidays according to local regulations.

• Profit sharing as stipulated by local law.

• Paternity and maternity leave as per local law.

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

• Christmas bonuses as mandated by local law.

• Work from home allowance as per company policy.

• Bonuses for punctuality and attendance as per company policy.

• Food tickets in accordance with company policy.

• Direct deposit of payroll.

• Paid professional certifications.