Senior Data Analyst/Engineer - Pyspark, SQL, Banking sought by leading investment bank based in London.
**Inside IR35 - 3 days a week onsite**
Responsibilities:
*Building PySpark and SQL queries to analyse, reconcile, and interrogate data
*Provide recommendations to improve the reporting process. This could include working with IT teams to improve data quality, working with stakeholders to simplify processes or improving query performance.
*Contribute to architecture and design discussions of a Hadoop environment
*Translate architecture and low-level requirements to design and code
*Provide direction and technical leadership on complex, high-impact projects and in all phases of the development and implementation process, ensuring essential procedures are followed
*Promotes continuous process improvement especially in code quality, testability & reliability
Key Skills:
*Expertise in SQL, Python, Spark.
*5+ years Technical Data Analysis experience
*Hadoop / Big Data domain familiarity
*Data Warehouse/ETL design and development methodologies knowledge and experience
*Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
*Excellent verbal and written communication skills, to effectively produce reports, documentation, and communicate with senior management. Ability to seamlessly communicate complex technical issues to non-technical colleagues
*Self starter with the ability to work independently
Beneficial:
*’Experience within an investment banking or financial services environment *Exposure to Hive, Impala, and Spark ecosystem technologies (HDFS, Apache Spark, Spark-SQL, UDF, Sqoop)
*Experience building and optimizing Big Data pipelines, architectures and data sets

Please apply within for further information or call on
Alex Reeder
Harvey Nash Finance & Banking