Semi-Senior Data Engineer - Software (ID:1692)

Truelogic is a premier provider of nearshore staff augmentation services, situated in New York. Our 500 strong tech talent team is propelling digital disruptions from Latin America to top-tier projects in U.S. enterprises. Truelogic has been assisting businesses of all sizes in realizing their digital transformation goals.

Ready to breathe life into innovation? Ever dreamt of crafting Products that touch millions of users? Great! We have a spot for you on our team!

What will be your responsibilities?

You will have the chance to work in a progressive, growth-centric atmosphere, within a company that sparks opportunity by setting the world into motion. Tackle large challenges to aid drivers, riders, delivery partners, and eaters in getting around in over 10,000 cities globally. 

Hold a distinctive position in the market, at the Corp Data team that promotes data-driven decision-making across the People & Places division. They supply vital data and insights to improve attraction, development, motivation, and retention of our most significant resource – our people, across a wide range of people issues: hiring, training and development, organizational health, employee engagement, diversity, total rewards, retention, program effectiveness measurement, and everything related to the worker life cycle and People & Places.

• You are a proactive individual with industry experience in SQL, Data Modeling, and pipeline design.
• You have implemented ETL pipelines in Hive, Spark, or another MPP database architecture.
• You are proficient with Spark and Presto and have used either or both to process huge volumes of data.
• You are confident in coding in Python, Java, or Scala.
• You have exhibited expertise in reliably managing hundreds of ETL pipelines as per stringent SLAs and swiftly identifying and rectifying complex data issues.
• Attention to detail, thoroughly tested code, and comprehensive documentation are the key features of your work, but you are equally adept at explaining concepts in broader terms to a non-technical audience.

What will contribute to your success

• 3+ years of Data Engineering Experience - Designing, developing, delivering, and maintaining data infrastructures.
• SQL Specialist – Profound knowledge and seasoned experience with SQL Queries (strong in outer joins, aggregations, unions, and understanding of window functions).
• Data Modeling Experience.
• Proficiency in at least one language: Python, Java, Scala, or Go.
• Substantial ETL experience.
• Able to diagnose data issues in dashboarding tools and recommend solutions.