Big Data Developer

• Developing and supporting scalable, extensible, and highly available data solutions
• Delivering on critical business priorities while ensuring alignment with the wider architectural vision
• Identifying and helping address potential risks in the data supply chain
• Following and contributing to technical standards
• Designing and developing analytical data models

• First Class Degree in Engineering/Technology (4-year graduate course)
• 9 to 11 years’ experience implementing data-intensive solutions using agile methodologies
• 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
• Experience in cloud native technologies and patterns
• 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 skills
• An inclination to mentor
• an ability to lead and deliver medium sized components independently

• Hands-on experience of building data pipelines
• Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend, and Informatica
• Experience of ‘big data’ platforms such as Hadoop, Hive, or Snowflake for data storage and processing
• Expertise around data warehousing concepts, relational and NoSQL database design
• Good exposure to data modeling techniques
• Proficient in one or more programming languages such as Python, Java, or Scala
• Exposure to CI/CD platforms, version control, automated quality control management
• Strong grasp of data quality, security, privacy, compliance
• Experience developing Co>Op graphs
• Demonstrable knowledge of Ab Initio toolsets
• Exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery
• Understanding of data validation, cleansing, enrichment, and data controls
• Understanding of containerization platforms like Docker, Kubernetes
• Experience with file formats such as Avro, Parquet, Protobuf
• Experience using a job scheduler such as Autosys
• Exposure to Business Intelligence tools such as Tableau, Power BI
• Certification in relevant skills

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