Data Engineer at Symphony

Symphony logo
Symphony

Data Engineer

co flag
Colombia

Hybrid

Full Time

#Data Engineering

#Big Data

#Cloud

#AWS

#Azure

#ETL

#Data Warehousing

#Python

#Scala

#Java

#Data Modeling

#DevOps

#CI CD

Symphony is looking for a Data Engineer
Full TimeSeniorHybridColombiaData EngineeringBig DataCloudAWSAzureETLData WarehousingPythonScalaJavaData ModelingDevOpsCI CDEnglishHybrid work

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Symphony is a global design and development software company headquartered in San Francisco with 650+ technologists located across engineering offices in Southeast Europe and Latin America, along with business development offices in the US and Western Europe, and a Remote hub engaging employees from Latin America to Africa and Asia. In the last 16 years, we have launched over 300 products for the world’s leading startups, enterprises, Private Equity companies, and Fortune 500 companies.
Our team has a proven track record in helping clients increase revenue, reduce time-to-market, improve end-user experiences, and achieve scalability. We have domain expertise spanning financial services, banking, retail, technology, healthcare, as well as the VC and PE ecosystem, among others.
We are on the lookout for a Data Engineer!
This is an exciting opportunity to join us in Medellin, Colombia and help us build our community there.
The role would place you in a highly - energised environment with some of the most hardworking, creative individuals in the industry where you would be inspired to share your years of experience along with contributing to our projects with the existing teams in Symphony.

What would be your day-to-day responsibilities, you ask?
  • Selecting and integrating Big Data tools and frameworks required to provide requested capabilities.
  • Solving complex problems, optimising data models, creating data flows and improving the processes.
  • Collaborating with data analysts and data scientists to enable data-driven decision making.
  • Design, build, scale, and evolve data platform, services and tooling.
  • Develop and maintain ETL processes and automated workflows.
  • Create real time solutions.
  • Monitoring performance and advising any necessary infrastructure changes.
  • Architecting production ready data pipelines and processing systems from the ground up.
  • Defining data retention and replication policies.
  • Collaborate with cross-functional teams to ensure seamless integration of data into analytics platforms.
  • Continuously evaluate and implement new technologies and best practices in data engineering.


    • Ideal profile - What are we looking for?
  • 6+ years of experience in data engineering with a proven track record of building and optimizing data solutions.
  • Strong hands-on experience with AWS (e.g., Redshift, S3, Lambda, Glue) or Azure (e.g., Synapse, Data Factory, SQL, Databricks).
  • Proficient in designing and managing ETL pipelines, data warehousing, and big data processing (batch and real-time).
  • Proficiency in Python, Scala, or Java for data processing and scripting.
  • Data Architecture: Deep understanding of data modeling, data normalization, and database design principles.
  • Familiarity with DevOps practices, CI/CD pipelines, and automation tools for data workflows.
  • Strong problem-solving skills and attention to detail.
  • Ability to work independently and collaboratively in a fast-paced, dynamic environment.
  • Excellent communication and team collaboration skills.


    • Ready to Join Us?
    We’re excited to hear from you! If this opportunity sparks your interest, don’t hesitate—let’s see where this journey can take us.
    We’ll review applications as they come in and promptly reach out to candidates chosen to move forward in the process.
    Curious to Learn More?
    If you have any questions our Talent Acquisition team is here for you. Feel free to drop us an email at [email protected]. We’d love to connect!
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