Senior Consultant

Developing and supporting scalable, extensible, and highly available data solutions

Deliver on critical business priorities while ensuring alignment with the wider architectural vision

Identify and help address potential risks in the data supply chain

Experience of relational databases and using SQL for data querying, transformation and manipulation

Experience of modelling data for analytical consumers

Ability to automate and streamline the build, test and deployment of data pipelines

A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training Excellent communication and problem-solving skillsAn inclination to mentor; an ability to lead and deliver medium sized components independent

Problem Solving and Troubleshooting Possess the expertise to analyze and effectively troubleshoot complex coding, application performance, and design challenges.

ETL Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica

Big Data Experience of big data platforms such as Hadoop, Hive or Snowflake for data storage and processing

Data Warehousing & Database Management Expertise around Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design

Data Modeling & Design Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures

Languages Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala

DevOps Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management

Data Governance A strong grasp of principles and practice including data quality, security, privacy and compliance

File Formats Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, DeltaOthers Experience of using a Job scheduler e.g., Autosys. Exposure to Business Intelligence tools e.g., Tableau, Power BI