Python Data Engineer

Job description

Python Data Engineer - Assistant Vice President/Vice President, Wissen Technology, Glasgow

The Wissen team continues to expand its footprint globally. More openings to come as we continue to grow the team!

Please read below for a brilliant career opportunity.

Role: Python Data Engineer

Title: Assistant Vice President/Vice President

Location: Glasgow (Day 1 Onsite/Hybrid)

Mode of Work: 4 days per week onsite required

Required experience: 6+ Years

We are: Wissen Technology. A high-end technical consulting firm built and run by highly qualified technologists. Our workforce consists of 5000+ highly skilled professionals, with leadership from Wharton, MIT, IITs, IIMs, and NITs and decades of experience at Goldman Sachs, Morgan Stanley, MSCI, Deutsche Bank, Verizon, British Telecom etc. Without any external funding or investments, Wissen Technology has grown its revenues by 100% every other year since it started as a subsidiary of Wissen Group in 2015. We have a global presence with offices in the US, India, UK, Australia, Mexico, and Canada.

You are: A true technical and/or domain ninja. Comfortable working in the quickly growing nature of profitable startups and have a "can do" attitude and are willing to take on any task thrown your way.

You will:

As an Assistant Vice President/Vice President help to develop and promote the company's culture of engineering excellence.

Role Overview

We are seeking a skilled Python Data Engineer with expertise in designing and implementing data solutions using the AWS cloud platform . The ideal candidate will be responsible for building and maintaining scalable, efficient, and secure data pipelines while leveraging Python and AWS services to enable robust data analytics and decision-making processes.

Key Responsibilities
Design, develop, and optimize data pipelines using Python and AWS services such as MSK, EMR, Spark on EKS, Iceberg, S3, EC2, MWAA, Terraform, Lambda, Redshift (Storage, Compute and Query Engine capabilities) .
Implement ETL/ELT processes to extract, transform, and load data from various sources into centralized repositories (e.g., data lakes or data warehouses).
Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.
Monitor, troubleshoot, and enhance data workflows for performance and cost optimization.
Ensure data quality and consistency by implementing validation and governance practices.
Work on data security best practices in compliance with organizational policies and regulations.
Automate repetitive data engineering tasks using Python scripts and frameworks.
Leverage CI/CD pipelines for deployment of data workflows on AWS.

Required Skills and Qualifications
Professional Experience : 5+ years of experience in data engineering or a related field.
Programming : Strong proficiency in Python, with experience in libraries like pandas , pySpark , or boto3 .
AWS Expertise : Hands-on experience with core AWS services for data engineering, such as:
AWS Glue for ETL/ELT.
S3 for storage.
Redshift or Athena for data warehousing and querying.
Lambda for serverless compute.
Kinesis or SNS/SQS for data streaming.
IAM Roles for security.
Databases : Proficiency in SQL and experience with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB) databases.
Data Processing : Knowledge of big data frameworks (e.g., Hadoop, Spark) is a plus.
DevOps : Familiarity with CI/CD pipelines and tools like Jenkins, Git, and CodePipeline.
Version Control : Proficient with Git-based workflows.
Problem Solving : Excellent analytical and debugging skills.

Optional Skills
Knowledge of data modeling and data warehouse design principles.
Experience with data visualization tools (e.g., Tableau, Power BI).
Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
Exposure to other programming languages like Scala or Java.

Education
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

About Wissen Technology:

Website :

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Great Place to Work:

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About Wissen Interview Process:

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Job Types: Full-time, Permanent

Benefits:
Life insurance
Schedule:
Monday to Friday

Work Location: In person