Junior Data Engineer
RYZONSSERVICES
Sevenoaks, United Kingdom
19 days ago
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Role details
Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Starter
Compensation
£29,120 - £114,546
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Amazon Web Services
Data Analysis
Bash Shell
Big Data
Cloud Computing
Computer Programming
Extract Transform Load (ETL)
Data Mining
Data Systems
Data Warehousing
Relational Databases
+16 more
Database Design
Apache Hadoop
Hadoop Distributed File System
Apache Hive
Microsoft SQL Server
Oracle (Applications)
Shell Script
SQL Databases
Scripting
Informatica Powercenter
Apache Spark
Database Performance
Indexer
Vba Programming Language
Dynamic Data
Data Pipelines
Job description
- Assist in designing and implementing robust data pipelines using tools such as Apache Spark, Hadoop, and Informatica to process large volumes of Big Data efficiently.
- Develop and maintain data warehouses utilizing SQL-based technologies like Oracle, Microsoft SQL Server, and Apache Hive to support reporting and analysis needs.
- Collaborate with cross-functional teams to gather requirements and translate them into scalable database designs and ETL (Extract, Transform, Load) processes.
- Write optimized SQL queries for data extraction, transformation, and analysis to support business intelligence activities.
- Support the deployment of cloud-based solutions on AWS for scalable storage and computing resources.
- Automate routine tasks using Bash shell scripting, VBA macros, or Python scripts to improve workflow efficiency.
- Conduct analysis of data flows and troubleshoot issues related to database performance or pipeline failures.
- Document technical specifications, workflows, and best practices for ongoing maintenance and knowledge sharing.
Requirements
- Proven experience working with relational databases such as Oracle or Microsoft SQL Server.
- Familiarity with Big Data technologies including Hadoop ecosystem components like HDFS, Hive, Spark, and related tools such as Apache Hive or Informatica.
- Hands-on experience with cloud platforms like AWS is highly desirable.
- Strong programming skills in Java or Python for data processing tasks.
- Knowledge of database design principles including normalization, indexing, and schema development.
- Experience with Shell scripting (Bash) or VBA for automation purposes is a plus.
- Understanding of Data Warehouse concepts and architecture to support large-scale analytics projects.
- Excellent analysis skills with the ability to interpret complex datasets accurately and efficiently.
Join us as a Junior Data Engineer if you’re eager to develop your expertise in cutting-edge data technologies while contributing to impactful projects! We value energetic problem-solvers who thrive on learning new skills and making a difference through innovative data solutions.
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