Big Data Engineer

As part of the Data Engineer team, you will be responsible for design, development and operations of large-scale data systems operating at petabytes scale. You will be focusing on real-time data pipelines, streaming analytics, distributed big data and machine learning infrastructure. You will interact with the engineers, product managers, BI developers and architects to provide scalable robust technical solutions.

• Experience in agile models
• Design, develop, implement and tune large-scale distributed systems and pipelines that process large volume of data; focusing on scalability, low -latency, and fault-tolerance in every system built.
• Experience with Java, Python to write data pipelines and data processing layers
• Experience in Airflow & Github.
• Experience in writing map-reduce jobs.
• Demonstrates expertise in writing complex, highly-optimized queries across large data sets
• Proven, working expertise with Big Data Technologies Hadoop, Hive, Kafka, Presto, Spark, HBase.
• Highly Proficient in SQL.
• Experience with Cloud Technologies ( GCP, Azure)
• Experience with relational model, memory data stores desirable ( Oracle, Cassandra, Druid)
• Provides and supports the implementation and operations of the data pipelines and analytical solutions
• Performance tuning experience of systems working with large data sets
• Experience in REST API data service – Data Consumption
• Retail experience is a huge plus.