Tech Lead Data Engineer
2 weeks ago
About Perfios
Founded in 2008, Perfios is a global B2B SaaS fintech serving the Banking, Financial Services and Insurance industry in 18 countries , empowering 1000+ Financial Institutions . Through its pioneering software platforms and products, Perfios helps Financial Institutions take big leaps by shaping their origination, onboarding, decisioning, underwriting and monitoring processes at scale and speed.
Perfios delivers 8.2 Billion Data Insights to Financial Institutions every year to facilitate faster decisioning, and processes 1.7 Billion Transactions a year with an AUM of 3 Trillion , significantly accelerating access to credit and financial services for their clients' customers.
Headquartered in Bangalore, Perfios has offices worldwide and with 75+ products and platforms , and over 500+ APIs . In Perfios, its clients have a confidant and a robust start-to-end tech platform.
Position Overview:-
We are looking for a seasoned Tech Lead Data Engineer with a experience range of 5-7Yrs robust technical background and leadership experience to spearhead our data engineering efforts.
This role demands a deep expertise in Python, PySpark , and Shell scripting , along with a comprehensive understanding of AWS cloud services .
As a Tech Lead, you will manage a team of data engineers , oversee the development and maintenance of scalable data solutions, and ensure the seamless integration and deployment of projects.
You will play a key role in optimizing our AWS infrastructure , implementing CI/CD pipelines, and managing APIs and serverless architectures.
This position requires not only strong technical skills but also the ability to lead projects, mentor team members, and drive innovation within the data engineering domain.
Key Responsbilities:-
Team Leadership:
○ Lead, mentor, and manage a team of data engineers, providing guidance on
technical and project-related matters.
○ Foster a collaborative team environment, ensuring effective communication and
knowledge sharing.
Data Engineering & Development:
○ Design, develop, and optimize data pipelines and workflows using Python,
PySpark, and Shell scripting.
○ Leverage key data engineering libraries in Python, such as Pandas, Dask, and
Polars, to build and maintain scalable data solutions.
○ Apply best practices for writing clean, efficient, and optimized Python code.
AWS Infrastructure Management:
○ Architect, implement, and maintain infrastructure on AWS, including services
such as S3, Lambda, CloudWatch, SQS, Kinesis, EventBridge, EC2, EMR,
AWS Glue, Athena, CloudFormation, and Secrets Manager.
○ Manage and monitor APIs running on AWS API Gateway, ensuring high
availability and performance.
○ Implement logging, debugging, and monitoring practices to maintain code quality
and system reliability.
○ Track and optimize metrics and costs associated with AWS services.
Project & Deployment Management:
○ Oversee project management on GitLab, including version control, branch
management, and code reviews.
○ Handle deployments using serverless technologies and manage CI/CD pipelines,
ensuring smooth and efficient releases.
○ Utilize Docker containers to build, test, and deploy applications in a scalable and
consistent environment.
Database Management:
○ Work with SQL and NoSQL databases (MongoDB) to design and manage
efficient data storage and retrieval systems.
○ Ensure data integrity, performance optimization, and security across all database
systems.
Regular Expressions (Regex):
○ Utilize strong understanding and proficiency in regex to extract, manipulate, and
validate data efficiently within various applications and pipelines.
Why Join Us?
● Work with cutting-edge technologies in a collaborative and innovative environment.
● Lead a talented team of data engineers and contribute to impactful projects.
● Competitive salary and benefits package, with opportunities for career growth.
If you are a highly motivated and experienced Tech Lead Data Engineer with a passion for data
and cloud technologies, we would love to hear from you. Apply today and help us shape the
future of our data infrastructure
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