Data Engineer - Open Application

Truelogic; Colombia; A distancia; COP 281.171.000 - 468.618.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% Remote Work

Highly Competitive USD Pay

Paid Time Off

Work with Autonomy

Work with Top American Companies

Descripción de la vacante

A leading tech firm is seeking data processing experts to work remotely from Colombia. In this role, you will write Python code for data solutions, manage data pipelines, and collaborate on BI projects. Candidates should have 5+ years of experience and familiarity with AWS, GCP, or Azure. With competitive USD pay and a focus on work-life balance, this position offers a great opportunity to grow with top American companies while working within a skilled and diverse team.

Formación

• 5+ years of professional experience in data processing roles.
• Experience with data processing frameworks like Spark or Hadoop.
• Solid knowledge of relational and non-relational databases.
• Ability to consume data from REST APIs and integrate sources.

Responsabilidades

• Develop coding solutions using Python for data processing.
• Design data pipelines and ETL processes for scalable applications.
• Implement BI solutions and data warehouse applications.
• Data Streams and messaging: Kafka, Kinesis, Flume; SQS, SNS, RabbitMQ, etc.
• Ensure data models scale and perform well across workloads.
• Distributed data stores and technologies.
• Processing: Spark, Flink, Hadoop; ETL with Talend, Informatica, SSIS.
• Reporting & Analytics: Snowflake, Redshift, Hive; Looker, Power BI, Tableau.
• Cloud data platforms: AWS, GCP, Azure; Data as a service on PaaS.
• Data privacy regulations awareness.

Conocimientos

Python

Data processing

ETL solutions

Data warehousing

Data visualization

Data Warehousing

Herramientas

AWS

GCP

Azure

Talend

Power BI

Tableau

Airflow

Talend

Informatica

SSIS

Airflow

Elasticsearch

Solr

Descripción del empleo

About Truelogic

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.

Responsibilities

• 5+ years working on the role professionally.
• Coding:
  • Coding Python and use in data processing solutions and related data technologies like Pandas, and PySpark.
  • Consume data from different sources like REST APIs.
• Data Stores:
  • Work with relational and non-relational data stores (like: HBASE, Cassandra or MongoDB; S3, blobs).
  • Consumption; Design.
• Data Streams (Kafka, Kinesis, Flume) and message queuing (SQS, SNS, RabbitMQ, etc).
• Ensure that the data model scales and enables high performance.
• Distributed data stores.
• Processing:
  • Data/Stream processing (Spark, Flink, Hadoop).
  • Data pipelines, data ingestion pipelines, scalable streaming data pipelines processing.
  • ETL using solutions:
    • Talend;
    • Informatica;
    • SQL Server Integration Services (SSIS).
• Reporting & Analytics:
  • Data warehouse (Snowflake, Redshift, Hive).
    • Implementation of data warehouse solutions, providing near real-time data to a variety of client systems;
    • Using SQL databases to construct data storage.
  • Reporting / BI, design, implementation, and enhancement of BI tool is a plus.
    • Looker;
    • Power BI;
    • Tableau.
• Experience designing and implementing data applications and services on the public cloud, AWS, GCP, or Azure using PaaS platforms.
• Familiarity with data privacy regulations and best practices

It will be great if you also know

• Experience with Data Visualization tools such as Tableau.
• Data processing architecture like Lambda Architecture.
• Indexing (SolR or ElasticSearch).
• Prior experience converting Jupyter Notebooks into production processes.
• Data pipeline and workflow management tools.
  • Airflow.
• Data lakes.

What We Offer

• 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.

Why You’ll Like Working Here

• A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
• Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
• Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.

Apply now!