What you'll do:

• Collaborate closely with Technical Leaders to devise and build the right solutions.
• Participate in design discussions and brainstorming sessions to select, integrate, and maintain tools and frameworks required to solve Big Data problems.
• Implement/Maintain systems to cleanse, process, and analyze large data sets using distributed processing tools like Airflow and Spark.
• Ability to learn quickly and adapt to new technologies
• Experience working with software and support teams in multiple regions
• Contribute insights and suggestions as part of our continuous improvement.
• Ability to work effectively in a fast-paced, collaborative environment.

What makes you a great fit:

• 3 to 6 years of experience in Data engineering.
• Strong computer science background and knowledge of software and product development methodologies.
• In-depth understanding of the Big Data ecosystem including processing frameworks like Spark, Hadoop. and the file types they deal with.
• Experience with ETL and Data pipeline orchestration tools like Apache Airflow, dbt, etc.
• Excellent coding skills in Python, Java or Scala, SQL.
• Experience with Git and build tools like Gradle/Maven/SBT.
• Experience/Understanding with data warehouse platforms.
• Experience working on cloud platforms (like AWS,GCP,Azure)
• Strong understanding of object-oriented design, data structures, algorithms, profiling, and optimization.
• Excellent communication and collaboration skills