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For Companies At a Glance
- Tasks: Develop and optimize PySpark data processing pipelines in a fast-paced investment banking environment.
- Company: Join a Tier 1 investment bank in London, known for its innovative approach to finance.
- Benefits: Enjoy a hybrid work model with competitive pay rates and the opportunity to work on impactful projects.
- Why this job: Be part of a dynamic team, tackle complex data challenges, and enhance your skills in a prestigious setting.
- Qualifications: Experience in data processing, strong PySpark and SQL skills, and a knack for problem-solving are essential.
- Other info: This is a 6-month contract role, starting ASAP, inside IR35.
Job Description
Job Title: PySpark Engineer – Data Specialist
Engagement: Contract
Rate: £700 – £800pd
Client: Tier 1 Investment Bank
Duration: 6 months
Start Date: ASAP
Project:
PySpark/SQL Developer – Investment Banking/Data Processing/Automation – Sought by a Tier 1 investment bank based in London. Hybrid – Contract.
Inside IR35 – Umbrella
Key Responsibilities:
- Develop, maintain, and optimize PySpark data processing pipelines in a fast-paced investment banking environment.
- Automate ETL processes (data extraction, transformation, and loading) to ensure seamless data flow across systems.
- Collaborate with cross-functional teams, including data engineers and analysts, to implement data-driven solutions tailored for investment banking needs.
- Leverage PySpark and Apache Spark to efficiently handle large datasets and improve processing efficiency.
- Optimize SQL queries for faster data retrieval and integration across banking systems.
- Ensure data integrity, quality, and security throughout the data pipeline lifecycle.
- Troubleshoot and resolve data-related issues to maintain seamless reporting and analytics workflows.
Qualifications:
- Proven experience in data processing and automation within an investment banking environment.
- Strong proficiency in PySpark and Apache Spark for data pipeline development.
- Solid understanding of SQL and experience optimizing complex queries.
- Expertise in automating ETL processes to improve data flow and efficiency.
- Excellent problem-solving skills, attention to detail, and ability to manage complex datasets.
- Strong communication skills with the ability to work in a collaborative, fast-paced team environment.
PySpark Developer - PySpark Specialist employer: 1370939
Contact Detail:
1370939 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PySpark Developer - PySpark Specialist
✨Tip Number 1
Make sure to showcase your experience with PySpark and Apache Spark in your conversations. Be ready to discuss specific projects where you've developed or optimized data processing pipelines, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with the investment banking sector and its data needs. Understanding the unique challenges faced by banks can help you tailor your discussions and show how your skills can directly benefit their operations.
✨Tip Number 3
Prepare to discuss your approach to automating ETL processes. Highlight any specific tools or methodologies you've used to improve data flow and efficiency, as this is a key responsibility for the role.
✨Tip Number 4
Emphasize your problem-solving skills during interviews. Be ready to provide examples of how you've tackled complex data-related issues in the past, as this will illustrate your ability to maintain seamless reporting and analytics workflows.
We think you need these skills to ace PySpark Developer - PySpark Specialist
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in data processing and automation, particularly within an investment banking context. Use specific examples of projects where you developed or optimized PySpark data processing pipelines.
Showcase Technical Skills: Clearly outline your proficiency in PySpark, Apache Spark, and SQL. Mention any specific tools or frameworks you've used and how they contributed to improving data flow and efficiency in your previous roles.
Demonstrate Problem-Solving Abilities: Include examples that showcase your problem-solving skills, especially in troubleshooting data-related issues. Highlight situations where you maintained data integrity and quality throughout the data pipeline lifecycle.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the job listing, such as 'ETL processes', 'data integrity', and 'collaborative team environment' to make your application stand out.
How to prepare for a job interview at 1370939
✨Showcase Your PySpark Expertise
Be prepared to discuss your experience with PySpark and Apache Spark in detail. Highlight specific projects where you've developed or optimized data processing pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your SQL Skills
Since SQL optimization is crucial for this role, come equipped with examples of complex queries you've worked on. Discuss how you improved their performance and the impact it had on data retrieval and integration.
✨Emphasize Automation Experience
Talk about your experience with automating ETL processes. Provide concrete examples of how your automation efforts have enhanced data flow and efficiency in previous roles, especially in a fast-paced environment like investment banking.
✨Prepare for Problem-Solving Scenarios
Expect to face questions that assess your problem-solving skills. Prepare to discuss specific data-related issues you've encountered and how you resolved them, focusing on your analytical approach and attention to detail.
