Designing and developing data solutions for one of the world’s largest corporations involved in the marketing and distribution of food products
Implementing distributed and highly available data processing applications that scale for enterprise demands
Adhering to Continuous Integration and Continuous Delivery (CI/CD) of solutions
Ensuring high code quality by following software engineering best practices
Working collaboratively in a cross-functional team within an Agile delivery environment
Adhering to DevOps principles and being involved in projects throughout their full software lifecycle — from development, QA, and deployment to post-production support
Requirements
A Bachelor’s Degree in Computer Science or equivalent
5 years of experience in developing enterprise-grade data processing applications
A strong programming background in data operations (Python, Shell, SQL)
Experience in processing large volumes of data
Hands-on experience working with relational/ NoSQL databases and distributed storage engines (HDFS, S3, Redshift)
Hands-on experience in ETL design and development using ETL tools (preferably Informatica and cloud tools such as AWS Data Pipelines, Glue, Lambda, EMR, Spark, Hive, and data engineering tools/services on Google Cloud Platform)
Experience in working with streaming data (using tools such as Kinesis, Kafka, Storm, Spark) will be an added advantage
Experience in API development and user interfaces and related tools (NodeJS, AngularJS, HTML) will be an added advantage
Experience working in a Scrum Agile delivery environment and DevOps practices
Experience in code management and CI/CD tools such as GitHub, GitLab, and Jenkins
Experience in an agile environment and aligning pod members on technical visions and implementation paths
A strong desire to continue to grow your skillset
Strong communication skills that are influential and convincing
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