Senior Data Engineer

Company Description At Bungee Tech, our unwavering focus is on empowering retailers and brands to deliver unparalleled customer experiences via our SaaS products. We recognize that accurate and superior quality data and market insights are the key to achieving this objective, and we leave no stone unturned in ensuring that our clients have a full omnichannel perspective of their competitive landscape. Our cutting-edge extraction techniques enable us to gather billions of data points every day from public sources, which we then match and track for price, availability, and promotions to keep our clients ahead of the curve and identify new opportunities for growth. Our data collection and extraction modules operate at an internet scale & big data volume on the cloud, while our matching modules utilize state-of-the-art ML models, making us a genuinely tech-centric organization. Responsibilities 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 of relevant professional experience in Data Engineering and Business Intelligence • 5+ years in Advanced SQL (analytical functions, window functions, Rollups/Cubes, Complex joins, Complex scanning methods, and Join methods), ETL, and Data Warehousing. • S trong 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 mentoring other engineers for the best practices in the data engineering space. • Sharp problem-solving skills and ability to resolve ambiguous requirements. • Experience in working with both structured & unstructured data at Big Data volume and internet scale. • Knowledge and experience working with Hive, Spark, Kafka & the Hadoop ecosystem. • Knowledge and experience on coding with Pyspark, SparQL. • Experience working with Data Science teams.