Senior Data Engineer (Python/SQL) - Sales Intelligence (Latam)

Truelogic

Completely RemoteContractInformation Technology
Posted 1 months ago

Job description

Responsibilities

  • Build and continuously improve data gathering, modeling, and reporting capabilities.
  • Design and maintain data pipelines and ETL workflows to ensure efficient processing of large datasets.
  • Collaborate with cross-functional teams (engineers, analysts, product owners, scientists) to identify and meet data needs.
  • Develop and maintain data warehouse solutions, ensuring performance and scalability.
  • Implement quality checks and enforce data governance best practices.
  • Contribute to the self-service data platform and empower teams with accessible data.

Requirements

  • 8+ years of experience as a Data/BI Engineer.
  • Strong SQL skills with hands-on experience in SQL and NoSQL databases.
  • Proven experience with Snowflake (highly desirable), Redshift, or BigQuery.
  • Experience developing pipelines with Airflow or equivalent orchestration software.
  • Proficiency in Python (notebooks and data processing).
  • Hands-on experience with DBT for data modeling and transformations.
  • Experience with AWS or GCP services (e.g., S3/GCS, Lambda/Cloud Functions, EMR/Dataproc, Glue/Dataflow, Athena).
  • Strong understanding of data cleaning, transformation, and ETL design.
  • Experience implementing data quality checks and monitoring.
  • Strong and clear communication skills.

Preferred Qualifications

  • 8+ years of experience as a Data/BI Engineer.
  • Strong SQL skills with hands-on experience in SQL and NoSQL databases.
  • Proven experience with Snowflake (highly desirable), Redshift, or BigQuery.
  • Experience developing pipelines with Airflow or equivalent orchestration software.
  • Proficiency in Python (notebooks and data processing).
  • Hands-on experience with DBT for data modeling and transformations.
  • Experience with AWS or GCP services (e.g., S3/GCS, Lambda/Cloud Functions, EMR/Dataproc, Glue/Dataflow, Athena).
  • Strong understanding of data cleaning, transformation, and ETL design.
  • Experience implementing data quality checks and monitoring.
  • Strong and clear communication skills.

Benefits

  • 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
  • Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
  • Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
  • Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
  • Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

About the Company

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Skills & tools

PythonSQLSnowflakeAirflowDBTAWSGCPData EngineeringETLData Warehousing

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Data Engineering
  2. 02SQL
  3. 03Python
  4. 04Cloud Platforms
  5. 05ETL
  6. 06Data Warehousing
  7. 07Data Modeling
  8. 08Airflow
  9. 09DBT
  10. 10AWS/GCP