Data Engineer (Remote)

As an experienced member of the team, in this role, you will: • Contribute to evolving the technical direction of analytical Systems and play a critical role their design and development • You will research, design and code, troubleshoot and support. What you create is also what you own. • You will focus on performance, cost efficiency, reliability, security and high availability of the products/modules and features that you own. • Develop the next generation of automation tools for monitoring and measuring data quality, with associated user interfaces. • Be able to broaden your technical skills and work in an environment that thrives on creativity, efficient execution, and product innovation. BASIC QUALIFICATIONS • Bachelor’s degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar. • 5+ years relevant professional experience in Data Engineering and Business Intelligence • 5+ years in with Advanced SQL (analytical functions, window functions, Rollups/Cubes, Complex joins, Complex scanning methods and Join methods), ETL, Data Warehousing. • Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures, data modeling and performance tuning. • Ability to effectively communicate with both business and technical teams. • Excellent coding skills in Java, Python, C++, or equivalent object-oriented programming language • Understanding of relational and non-relational databases & data stores • Proficiency with at least one of these scripting languages: Perl / Python / Ruby / shell script PREFERRED QUALIFICATIONS • Experience with building data pipelines from application databases. • Experience with AWS services - S3, Redshift Spectrum, EMR, Glue, Athena, ELK, AWS lambda and Step functions. • Experience working with Data Lakes & Data Mesh. • Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space. • Sharp problem-solving skills and ability to resolve ambiguous requirements. • Experience on working with both structured & unstructured data at Big Data volume and internet scale. • Knowledge and experience on working with Hive, Spark, Kafka & the Hadoop ecosystem. • Knowledge and experience on coding with Pyspark, SparQL. • Experience working with Data Science teams.

Bungee Tech