Data Engineer

Summary

Join Accesa, a leading technology company, and contribute to the optimization of data management strategies for a prominent financial client. This role involves migrating data warehouse models into data products within the Data Integration Hub (DIH). You will drive data efficiency, master complex data handling, lead innovation and process optimization, architect scalable data infrastructure, and unlock actionable insights. Collaboration with cross-functional teams is crucial. The position requires 3+ years of experience in a similar role, strong analytical skills, and proficiency in SQL and relational databases. Accesa offers a holistic benefits program encompassing physical, emotional, social wellbeing, and work-life fusion.

Requirements

• 3+ years of experience in a similar role, preferably within Agile teams
• Strong analytical skills in working with both structured and unstructured data
• Skilled in SQL and relational databases for data manipulation
• Experience in building and optimizing Big Data pipelines and architectures
• Knowledge of Apache Spark framework and object-oriented programming in Java; experience with Python is a plus
• Experience with ETL processes, including scheduling and orchestration using tools like Apache Airflow (or similar)
• Proven experience in performing data analysis and root cause analysis on diverse datasets to identify opportunities for improvement

Responsibilities

• Create and maintain optimal data transformation pipelines
• Work with large, complex financial data sets to generate outputs that meet functional and non-functional business requirements
• Identify, design, and implement process improvements such as automating manual processes, optimizing data delivery, and re-designing infrastructure for higher scalability
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using open-source technologies
• Build/use analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Work clients and internal stakeholders, including Senior Management, Departments Heads, Product, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs

Preferred Qualifications

• Expertise in manipulating and processing large, disconnected datasets to extract actionable insights
• Automate CI/CD pipelines using ArgoCD, Tekton, and Helm to streamline deployment and improve efficiency across the SDLC
• Manage Kubernetes deployments on OpenShift, focusing on scalability, security, and optimized container orchestration
• Technical skills in the following areas are a plus: relational databases (e.g. Postgresql), Big Data Tools: (e.g. Databricks), and workflow management (e.g. Airflow), and backend development using Spring Boot

Benefits

• Holistic benefits program that covers the four pillars that we believe come together to support our wellbeing, covering social, physical, emotional wellbeing, as well as work-life fusion
• Medical benefits
• Gym support
• Personalised fitness options for an active lifestyle, complemented by team events and the Healthy Habits Club
• Flexibility to define the work-life dynamic that works for us