Data Engineer

This is a fully remote position, open to applicants in Latin America.

📋 Description

• Over 5 years of professional experience in the role.

• Proficient in Python for data processing solutions and familiar with related technologies such as Pandas and PySpark.

• Ability to consume data from various sources including REST APIs.

• Experience with both relational and non-relational data stores (e.g., HBASE, Cassandra, MongoDB; S3, blobs).

• Expertise in data consumption and design.

• Knowledge of data streams (Kafka, Kinesis, Flume) and message queuing systems (SQS, SNS, RabbitMQ, etc.).

• Responsible for ensuring that the data model is scalable and supports high performance.

• Familiarity with distributed data stores.

• Skilled in data/stream processing using tools like Spark, Flink, and Hadoop.

• Experience in creating data pipelines, data ingestion pipelines, and scalable streaming data processing.

• Proficiency in ETL processes utilizing solutions such as Talend, Informatica, and SQL Server Integration Services (SSIS).

• Experience with data warehousing technologies (Snowflake, Redshift, Hive).

• Implementation of data warehouse solutions that provide near real-time data to various client systems, leveraging SQL databases for data storage.

• Knowledge in reporting/BI, including design, implementation, and enhancement of BI tools is a plus. Familiarity with Looker, Power BI, or Tableau.

• Experience in designing and implementing data applications and services on public cloud platforms such as AWS, GCP, or Azure using PaaS options.

• Understanding of data privacy regulations and best practices.

⛳️ Requirements

• Over 5 years of professional experience in the role.

• Proficient in Python for data processing solutions and related technologies such as Pandas and PySpark.

• Ability to consume data from various sources including REST APIs.

• Experience with both relational and non-relational data stores (e.g., HBASE, Cassandra, MongoDB; S3, blobs).

• Knowledge of data streams (Kafka, Kinesis, Flume) and message queuing systems (SQS, SNS, RabbitMQ, etc.).

• Responsible for ensuring that the data model is scalable and supports high performance.

• Familiarity with distributed data stores.

• Skilled in data/stream processing using tools like Spark, Flink, and Hadoop.

• Experience in creating data pipelines, data ingestion pipelines, and scalable streaming data processing.

• Proficiency in ETL processes utilizing solutions such as Talend, Informatica, and SQL Server Integration Services (SSIS).

• Experience with data warehousing technologies (Snowflake, Redshift, Hive).

• Implementation of data warehouse solutions that provide near real-time data to various client systems, leveraging SQL databases for data storage.

• Knowledge in reporting/BI, including design, implementation, and enhancement of BI tools is a plus. Familiarity with Looker, Power BI, or Tableau.

• Experience in designing and implementing data applications and services on public cloud platforms such as AWS, GCP, or Azure using PaaS options.

• Understanding of 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.