Data Engineer

🕒 March 28

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Truelogic Software

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2004

☁️ SaaS

🤝 B2B

🏢 Enterprise

SaaS • B2B • Enterprise

Truelogic Software is a nearshore software development company specializing in agile staff augmentation services. They focus on providing custom outsourced software development with a team of highly skilled engineers from Latin America. Truelogic Software partners with both startups and Fortune 500 companies, offering solutions that align with their clients' time zones and ensuring high-quality outcomes through collaboration and responsiveness. With a presence in over 25 countries, Truelogic emphasizes remote work for better quality of life, and their engineers are experienced in various industries, delivering a wide range of successful projects globally.

📋 Description

• 5+ years working on the role professionally. • Coding Python and use in data processing solutions and related data technologies like Pandas, and PySpark. • Consume data from different sources like REST APIs. • 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. • 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). • 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.

🎯 Requirements

• 5+ years working on the role professionally. • Coding Python and use in data processing solutions and related data technologies like Pandas, and PySpark. • Consume data from different sources like REST APIs. • Work with relational and non-relational data stores (like: HBASE, Cassandra or MongoDB; S3, blobs). • 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. • 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). • 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.

🏖️ 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.