KR61-EU Senior Data Engineer
Remote
Full Time
#Python
#AWS
#Pandas
#Apache Spark
#Pyspark
At Cybernetic Controls Limited, we are dedicated to providing innovative digital solutions that help businesses unlock their full potential. Since our inception in 2020, we have established ourselves as a remote-first organization that values trust and flexibility. We are currently supporting a multi-award-winning RegTech partner on a mission to revolutionize regulatory reporting for the global financial services industry. By merging deep regulatory expertise with advanced technology, our partner provides quality assurance services to the world’s largest investment banks, asset managers, and hedge funds, helping them enhance reporting accuracy and reduce operational costs.
The role
We are looking for a Senior Data Engineer to join our team on a full-time, remote basis. This is a senior-level position reporting to Rishabh Gupta, where you will play a vital role in our testing team. You will focus on ETL development and the creation of robust pipelines that process large volumes of structured data. If you are passionate about building scalable data solutions and want to contribute to a pioneering growth company, this role offers a challenging and rewarding environment.
Core responsibilities
- Architect and construct scalable, secure, and efficient data pipelines using AWS cloud computing solutions.
- Develop complex data transformations using Python and PySpark to ensure data integrity and accessibility.
- Design and maintain the databases and APIs required for the seamless storage and transmission of data across our applications.
Skills and experience
To be successful in this role, you should bring a strong background in data engineering and a commitment to software development best practices. We are looking for the following qualifications:
- At least 5 years of professional experience in the data engineering field, with a minimum of 3 years specifically focused on PySpark and AWS data tools like Glue.
- Advanced proficiency in Python, Pandas, and Apache Spark.
- Deep understanding of the AWS ecosystem, including S3, Athena, Step Functions, and Lake Formation.
- Experience with serverless computing, SQL and NoSQL database design, and infrastructure as code using CloudFormation.
- A Bachelor’s degree in Computer Science or a related technical field.
- Strong communication skills in English and a collaborative mindset for code reviews and team troubleshooting.
Compensation and benefits
We believe in supporting our team members both professionally and personally. As part of our commitment to you, we offer the following:
- A competitive salary package with an annual pay review.
- Complete remote work flexibility.
- Private healthcare contributions.
- A company-provided laptop to ensure you have the tools you need to succeed.
- Regular team socials and the chance to work within a highly innovative, collaborative culture.
How to apply
If you are interested in joining our team and helping us transform the financial services industry, we would love to hear from you. Please submit your application, including your resume and a summary of your relevant experience with AWS and data pipeline architecture, to begin the conversation.
