4Bell Technology

Job Description

-          Extensive experience leading AWS and cloud data platform transformations

-          Proven track record of delivering large-scale data and analytical solutions in a cloud environment

-          Hands-on experience with end-to-end data pipeline implementation on AWS, including data preparation, extraction, transformation & loading, normalization, aggregation, warehousing, data lakes, and data governance

-          Expertise in developing Data Warehouses

-          In-depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh

-          Strong knowledge of data architecture and data modelling practices

-          Cost-effective management of data pipelines

-          Familiarity with CI/CD driven data pipeline and infrastructure

-          Agile delivery approach using Scrum and Kanban methodologies

-          Ability to scope, estimate, and deliver committed work within deadlines, both independently and as part of an agile team

-          Supporting QA and user acceptance testing processes

-          Innovative problem-solving skills and ability to provide clear recommendations

-          Understanding of the impact of changes to business rules on data processes

-          Excellent communication and influencing skills, especially in regard to data solutions and outcomes

-          Experience managing and leading a small team of data engineers

-          Self-driven and constantly seeking opportunities to improve data processes

-          Strong knowledge of how data drives analytical and reporting activities, including automated marketing and personalization capabilities

 Python, PySpark, SQL, NoSQL DBs (Mongo), Bash Scripting, Snowflake, Kafka, Nifi, Glue, Databrew, AWS, Kinesis, Terraform, APIs, and Lakehouse