Data Engineer

As a part of the Data Engineering team at WinZO, you will create and manage BI and analytics solutions that turn data into knowledge. You will also be responsible to enhance the business intelligence system to help us make better decisions. You will be working in a fast-paced environment which will require you to take initiatives with complete ownership, manage multiple projects, and drive execution with stakeholders.

Responsibilities

• Responsible for building and operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Working on designing, performance/scalability tuning of batch and real time stream analytics and large data processing systems
• Research and recommend frameworks and architectural/code design patterns for large scale data processing and identify areas of improvements within the existing code and processes
• Design, build and deploy internal applications to support our product life cycle, data and business intelligence, among others.
• Optimise data delivery and re-design infrastructure for greater scalability
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Apache Spark, Hadoop and AWS technologies

• Build analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs

Requirements

• Were looking for people with a hustler mindset, who are curious, eager to learn new things, with a passion for innovation, and work to be a little better every single day. This is not solely based on whether a candidate has previously done similar work or not.
• Were looking for someone dynamic with below qualities in generous quantities to perform well in this role -
• B. Tech/B. E in Computer Science, IT, or similar field; a Masters is a plus
• Experience working with ETL/ELT pipelines, Data Warehousing tools

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  Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL)
• Experience working with big data and database technologies, especially Apache Spark and Hive/Hadoop
• Experience in a cloud environment, preferably AWS
• Good to have proficiency with Linux and systems administration
• Experience working with both structured and unstructured data paradigms
• Experience with a high-level programming language preferably Python/Scala/Java
• Experience troubleshooting data quality issues, analysing data requirements
• Good to have working knowledge of MongoDB/Apache Kafka/Unix shell scripting/Apache Cassandra
• Most importantly - a reliable team player and a strong desire to learn

This job was posted by Rahul Gera from WinZO.