Data Engineer in DevRank

DevRank specializes in IT Staff Augmentation and Software Development Services across the entire product lifecycle using a cost efective model, with resources in the US, Central and South America, Eastern Europe and Asia

Our team is passionate about offering companies the services that best suit them:

• IT Staff Augmentation for customers that are looking for a specific professional to complement their current team
• Full Project Development for customers that need an entire Project Development from scratch to end and have no team to do it
• Payroll Services for Companies that need to pay their professionals but don't have the local entity to do it

The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be a lead developer responsible for the development of new software products and enhancements to existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.

Responsibilities

• Design, develop, and optimize data architecture and pipelines that adhere to ETL principles and business goals.
• Responsible for maintaining and evolving critical datasets such as key metrics, royalty calculations, financial forecasting and performance management.
• Design and implement data pipelines with requirements for scalability, availability and quality.
• Communicate insights and recommendations to key stakeholders, engineering, data science and product partners.
• Code, test, and document new or modified data systems.

• Bachelor's degree in Computer Science (or related field).
• 3+ years of relevant work experience in the development of high-quality database solutions.
• Strong coding skills, preferably Scala, Java and Python in a data-focused role.
• Experience performing analysis with large datasets in a cloud based-environment, preferably with an understanding of Google’s Cloud Platform or AWS.
• Experience on big-data environments, such as Hadoop, Spark, Pig, BigQuery or Hive.
• Strong communication and data presentation skills (Tableau, PowerBI or Qlik).
• Excellent English communication skills.

• Expertise in building out data pipelines, efficient ETL implementation and maintenance.
• Experience with Agile or Scrum software development methodologies.