Data Engineer - Python, R Programming - UK Visa Sponsorship Job

Data Engineer with Python and R Programming Expertise in Banking and Insurance Domain

Our client is a leading organization in the Banking and Insurance domain, in London UK. 

They are committed to leveraging data to drive innovation and deliver exceptional services from many years. 

Also they have team, which is composed of talented professionals who are passionate about data and technology. Our client is offering a collaborative and inclusive work environment where your contributions will make a significant impact.

Job Description

Are you a passionate Data Engineer with a knack for Python and R Programming?

Do you have a strong background in the Banking and Insurance domain? If so, we have an exciting opportunity for you to join our dynamic team!

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure.

You will work closely with cross-functional teams to ensure data integrity, optimize data pipelines, and support data-driven decision-making processes.

Your expertise in Python and R Programming will be essential in transforming raw data into actionable insights.

Key Responsibilities

• Data Pipeline Development: Design, develop, and maintain scalable data pipelines using Python and R Programming to process large volumes of data efficiently.

• Data Integration: Integrate data from various sources, including databases, APIs, and third-party systems, ensuring data consistency and accuracy.

• Data Modeling: Create and maintain data models to support analytical and reporting needs, ensuring data is structured for optimal performance.

• Data Quality Assurance: Implement data quality checks and validation processes to ensure data accuracy and reliability.

• Performance Optimization: Optimize data processing workflows to improve performance and reduce latency.

• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.

• Documentation: Maintain comprehensive documentation of data pipelines, data models, and processes to ensure knowledge sharing and continuity.

Required Skills and Qualifications

• Proven Experience: Minimum of 3 years of experience as a Data Engineer, with a focus on Python and R Programming.

• Technical Proficiency: Strong hands-on experience with Python and R Programming for data manipulation, analysis, and visualization.

• Domain Expertise: In-depth knowledge of the Banking and Insurance domain, including regulatory requirements and industry best practices.

• Database Management: Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).

• ETL Tools: Experience with ETL tools and frameworks (e.g., Apache Airflow, Talend) for data extraction, transformation, and loading.

• Big Data Technologies: Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing.

• Analytical Skills: Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.

• Communication: Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders.

• Team Player: Ability to work collaboratively in a team environment and adapt to changing priorities.

Boost Your Job Application with a Video CV!

Stand out from the crowd and increase your chances of getting shortlisted by creating a compelling Video CV.

Simply log into our website using the Chrome browser at https://www.wpjobs.co.uk/video-cv to get started.

Alternatively, you can use the http://www.MyMockInterview.com mobile app to craft your video CV on the go.

Showcase your skills, personality, and passion in a way that a traditional resume can’t.

Don’t miss this opportunity to make a lasting impression.

All the best and Thank you from WPJobs Team.