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Job Description
Title Senior Data Engineer I
Department ISS
Location GGN
Reports To Data Engineers - Lead
Level 5
We share a commitment to making things better for clients and each other. We continually explore new technology and different ways of working to put our clients first. So, bring your boldest ideas to our (name of team/business area) team and feel like you are making progress.
ISS Data Engineering Chapter is an engineering group comprised of three sub-chapters - Data Engineers, Data Platform and Data Visualisation - that supports the ISS Department.
Fidelity is embarking on several strategic programmes of work that will create a data platform to support the next evolutionary stage of our Investment Process. These programmes span across asset classes and include Portfolio and Risk Management, Fundamental and Quantitative Research and Trading.
This role is appropriate for a senior data engineer capable of taking ownership and a delivering a subsection of the wider data platform or data applications.
As a Senior Data Engineer, you will directly contribute to our key organizational objectives of Accelerated Innovation, Cost Optimization, Risk Mitigation, and Business Enablement
Key Responsibilities
Core Technical Skills
Bonus technical Skills:
Key Soft Skills:
Feel rewarded
For starters, we'll offer you a comprehensive benefits package. We'll value your wellbeing and support your development. And we'll be as flexible as we can about where and when you work - finding a balance that works for all of us. It's all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.
For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.
Fidelity International Ltd, or FIL for short, is a company that provides investment management services including mutual funds, pension management and fund platforms to private and institutional investors.
Job ID: 147419747
Skills:
snowflake , Metadata Management, Data Architecture, Kafka, Schema Design, Big Data Technologies, Docker, Python, AWS, Java, Hadoop, Data Modelling, Scala, Sql, Spark, Data Governance, Data Warehousing Concepts, Databricks, Kubernetes, Airflow, feature engineering workflows, data optimization, ETL processes, AI ML data pipelines, distributed data processing systems, DevOps practices, NoSQL databases, Monitoring, data ingestion frameworks, infrastructure-as-code, Troubleshooting
Skills:
snowflake , Pyspark, Advanced Sql, Python, Big Data Architecture, ETL Pipeline Development
Skills:
snowflake , Sql, ELT pipelines, Matillion
Skills:
T-sql, Plsql, Data Warehousing, Sql, ETL Fundamentals, Advanced Python, Stored Procedures, Data Modelling Fundamentals, Modern Data Platform Fundamentals
Skills:
snowflake , Java, Agile Methodologies, SQL Server, Tableau, Data Modeling, Sql, Jenkins, Data Quality, Git, Docker, Data Migration, Shell scripting, Spark, Vertica, MongoDB, Rest Apis, Oracle, Azure, Python, AWS, Etl, microservices architecture
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