Python sql intern Work, Jobs (with Salaries)

Junior Data Engineer
RYZONSSERVICES —Sevenoaks
- £14.00 - £55.07 an hour
- Part-time
- Hybrid work
- SQL
- AWS
- Analysis skills
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12h
Senior Financial Accountant
LHV Bank —London
- Hybrid work
- English
- Continuous improvement
- Quality control
- Employee discount
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Junior Data Engineer
RYZONSSERVICES —Sevenoaks
Write optimized SQL queries for data extraction, transformation, and analysis to support business intelligence activities.
£14.00 - £55.07 an hour
Quick apply
12h
Senior Financial Accountant
LHV Bank —London
The Bank supports over 200 fintech clients with embedded financial infrastructure, provides retail savings products via digital channels, and offers SME credit…
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Junior Data Engineer

RYZONSSERVICES
Sevenoaks

Quick apply

Job details

Part-time | Volunteer | Internship
£14.00 - £55.07 an hour
12 hours ago

Qualifications

Cloud infrastructure
Data integration
Business intelligence
HDFS
Big data
Spark
SQL querying
Microsoft SQL Server
Apache Hive
Data and database experience
SQL
AWS
Analysis skills
ETL data integration
Data warehousing
Data analytics
Technical writing
Apache
Informatica
Requirements gathering
Data warehouse
Shell Scripting
Hadoop

Full job description

Job Overview
We are seeking a motivated and detail-oriented Junior Data Engineer to join our dynamic data team. In this role, you will play a crucial part in designing, developing, and maintaining scalable data pipelines and data warehouses that support business analytics and decision-making processes. You will work closely with data analysts, data scientists, and other stakeholders to ensure the integrity, availability, and security of our data assets. This position offers an exciting opportunity to grow your technical skills in a fast-paced environment while contributing to innovative data solutions that drive strategic insights.

Responsibilities

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.

Experience

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.

Pay: £14.00-£55.07 per hour

Work Location: Hybrid remote in Sevenoaks TN15

Quick apply

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