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Pearster

Senior Data Engineer – Snowflake

Pearster

Senior Data Engineer overseeing data architecture and pipelines for a LATAM company. Collaborating with cross-functional teams and ensuring optimal data delivery.

Posted 6/4/2026full-timeRemote • 🇨🇴 ColombiaSeniorLeadWebsite

Tech Stack

Tools & technologies
AirflowAmazon RedshiftAWSAzureCassandraCloudEC2Google Cloud PlatformHadoopJavaKafkaNoSQLPostgresPythonScalaSparkSQL

About the role

Key responsibilities & impact
  • Responsible for expanding and optimizing our data and data pipeline architecture.
  • Optimizing data flow and collection for cross functional teams.
  • Support our product owners, product analysts, data analysts and data scientists on data initiatives.
  • Ensure optimal data delivery architecture is consistent throughout ongoing work.
  • Engage with business stakeholders to establish clear needs and links to solutions, including setting up prototypes, and involving multiple parties in design sessions.
  • Create data collection, extraction, and transformation frameworks for structured and unstructured data.
  • Develop and maintain data infrastructure systems (e.g. data warehouses) including data access points.
  • Prepare and manipulate data using a variety of data integration and data pipeline tools including, but not limited to, Talend, SQL, Snowflake, Kafka, Azure Data Factory.
  • Create efficient load processes including logging and handling of exceptions, notification to support, and overall visibility operations.
  • Organize data into formats and structures that optimize reuse and efficient delivery to businesses and analytics teams and system applications.
  • Integrate data across data lake, data warehouse and systems applications to ensure the consistent delivery of information across the enterprise.
  • Accountable for efficient architecture and systems design.
  • Build and evolve the data service layer and engages the team to bring together components for a best-in-class customer offering.

Requirements

What you’ll need
  • Bachelor’s degree required, Master’s an asset, in Software Engineering, Computer Science, or equivalent work experience in a Technology or business environment.
  • Minimum of 7 years of experience working in developing and following structured work processes in data engineering.
  • Minimum of 7 years of experience in integration solutions development with data integration tools (e.g., Talend, Azure Data Factory).
  • Minimum of 3 years of experience with real-time data streaming tools like Kafka, or any similar tools.
  • Experience with cloud platforms including Azure, AWS, or GCP.
  • Experience with data warehousing platforms such as Snowflake or Databricks.
  • High proficiency in SQL, Python, and other programming languages.
  • Highly proficient in data management, governance, data design and database architecture.
  • Proven track record of manipulating, processing, and extracting value from large, disconnected datasets.
  • Proficient in data modelling and data architecture with experience using WhereScape RED/3D an asset.
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
  • Highly proficient in data modelling, data integrations, data orchestration, and supporting methodologies.
  • Highly proficient in leading large-scale projects or significant project steps and communicating progress/approach with technical/non-technical peers/clients and leaders.
  • Highly proficient in multiple programming languages and coding.
  • Excellent ability to design and engineer moderately complex enterprise solutions.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Strong project management and organizational skills.

Benefits

Comp & perks
  • Work from anywhere with true flexibility and freedom.
  • Earn in USD with compensation that matches your expertise.
  • Recharge confidently with dedicated paid time off.
  • Advance your career with fully covered international certifications.
  • Access coworking spaces worldwide whenever you want a professional setup.
  • Strengthen your English and expand your global reach.
  • Connect and have fun with activities that unite our international team.
  • Feel appreciated with personalized gifts and a thoughtful welcome kit.
  • Grow our community and earn through our referral program.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data pipeline architecturedata integrationdata warehousingSQLPythonKafkaAzure Data FactorySnowflakedata modelingbig data tools
Soft Skills
project managementorganizational skillscommunicationcollaborationproblem-solvingstakeholder engagementleadershipdesign thinkingdata governancedata orchestration
Certifications
Bachelor's degreeMaster's degree