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Senior Engineer, Data Engineering

2 months ago

United Kingdom TalentHawk Full time
Job Title : Data Engineer Location : Remote
Contract : £500 Per Day

Our client is seeking a Data Engineer with a solid foundation in both data engineering and business intelligence, capable of understanding and addressing business needs. This role involves managing and optimizing AWS-based data processes, orchestrating data flows, and supporting business intelligence capabilities. Data Pipeline Management :
Database Integration : Maintain MySQL databases on AWS (approx. 25TB) as primary data sources feeding the data pipeline.
Real-Time Data Ingestion : Utilize Apache Kafka to manage data flows from MySQL into AWS S3 buckets, enabling real-time streaming.
Data Processing : Implement ETL processes using AWS Glue and PySpark to build data lakes within S3 for further analysis.
Business Intelligence (BI) :
Facilitate data availability for BI purposes, supporting daily updates and aiming to move from overnight batch jobs to near-real-time 15-minute refreshes.
Collaborate on BI dashboard and reporting creation to provide actionable insights.
Complex Data Reconciliation :
Reconcile transaction records across multiple merchants, currencies, and network operators, addressing both straightforward and complex data relationships.

Data Engineering Expertise :
Proficiency with MySQL , Apache Kafka , AWS Glue , PySpark , and AWS S3 for managing data pipelines and ETL processes.
Business Intelligence Skills :
Experienced in designing and maintaining BI reports and dashboards with frequent data refresh capabilities.
Data Reconciliation Experience :
Skilled in reconciling transactional data across diverse systems, operators, and currencies to ensure data accuracy.

Ability to translate business requirements into data solutions and work collaboratively with non-technical stakeholders to develop reports and dashboards tailored to business needs.
Strong communication skills to bridge technical and business needs, working closely with stakeholders to ensure data solutions support strategic objectives.