Data Engineer

Data Engineer

12 jul
|
Gorilla Logic
|
Colombia

12 jul

Gorilla Logic

Colombia

About Us



Gorilla Logic provides custom application development services on the ground and in the cloud to many of the world's leading software-driven organizations. Our highly collaborative, Agile Gorillas are uniquely qualified to implement complex software initiatives and are skilled at large Agile implementations. As an established leader in mobile, internet, and enterprise application development we attract some of the most talented developers and interesting projects. Gorilla Logic's commitment to solving advanced technology issues enables us to deliver high-quality, full-featured applications we are proud of.



The Details



·Hiring remote, full-time employees within Costa Rica & Colombia.









·Paid private insurance and compensated days off.



·Quarterly travel to our modern offices in based San Jose, Costa Rica or Medellín, Colombia.



·Align to US-based business hours; potential travel to US-based client sites.



·Utilize Zoom video & audio calls to collaborate across locations.



·Access to best-in-class technical training.



·Endless career paths & growth opportunities within technology consulting!



Senior Data Engineer



Gorilla Logic is looking for a Senior Data Engineer. This is a unique and highly technical role responsible for architecting data services, pipelines and reports. This role works with multiple data sources, data aggregation into data lakes, and data transformation into value. Our environment will require you to work effectively with your teammates, of course. But your real success will be measured by how well you couple critical thinking with self-motivation, enthusiasm and determination. 



Responsibilities



·Analysis, organization and integration of raw data sources.



·Build data systems, data models and data pipelines.



·Work with key client stakeholders to evaluate business needs and priorities.



·Data interpretation for trending, patterns, value creation.



·Conduct complex data analysis and develop reports.



·Development of APIs to give easier access to data.



·Prepare data for predictive and prescriptive modeling.



·Identify sources of raw data and data source integration.



·Use of data analytical tools, software and programs.



·Enhance data quality, reliability, efficiency and value.



Technical Requirements



·Bachelor’s degree in Computer Science or related field (or equivalent experience).



·5+ years of previous experience as a data engineer.



·2+ years of AWS experience used for big data analysis (EC2, RDS, S3, EMR).



·Technical expertise with data models, data mining and segmentation techniques.



·Familiar with sophisticated analytics programs and statistical methods.



·Program development with Python and Pyspark.



·Experience with SQL and NoSQL databases.



·Experience with AWS EMR for big data processing (Hive, Hadoop, Presto, Spark, HBase, HDFS, YARN, MapReduce).



·Experience with ETL development to integrate and transform data.



·Prior work experience in a growth company.



·Strong numerical and analytical skills.



·Must have the ability to work in a dynamic, fast-paced environment.



·Strong communication skills to interact with Agile team members.



·Good Analytical thinking and problem-solving skills.



·Agile Development: Scrum and/or Kanban.



·Experience with Apache Airflow workflow management platform.



·CI/CD with unit and integration test.



·Instrumenting application monitoring and test.



Bonus Skills



·Data engineering certification.



·Quoble and Emarsys experience.



·New Relic and AWS monitoring and troubleshooting.



·AWS Personalize (ML technology).

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