Data Engineer

About Contour

has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.

As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.

What started as an R&D & Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore & Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!

The Division:

At CSIPay, a Jonas company, we are dedicated to empowering Constellation’s six operating groups in the USA and Canada with seamless payment processing solutions. Our goal is to give you greater control over your revenue, enhance your market potential, and improve customer satisfaction, fostering success for all within the Constellation family.

The Position:

We are looking for Data Engineers to join our development team and participate in different projects. We are looking for proactive people, team players passionate about technology and big data. This is an excellent opportunity for those professionals looking to develop in one of the fastest growing areas of software development.

The selected individuals will work out of the Contour Software Lahore/Karachi/Islamabad resource center office, as an extension of the division-based R&D department.

Role and Responsibilities include but not limited to:

• Write efficient queries to extract and analyze large datasets while ensuring seamless systems integration by developing robust data workflows.
• Design, develop, and maintain scalable ETL solutions for data pipelines, enhancing and optimizing existing processes to meet evolving business needs.
• Develop and expand the organization’s data technology stack to support advanced data processing and analytics needs, leveraging tools like AWS MapReduce and PySpark for big data handling.
• Apply machine learning techniques to clean and process data, supporting future initiatives to integrate machine learning into analytics workflows.
• Continuously evaluate and adopt the most efficient tools and technologies for data extraction, transformation, analysis, and integration.
• Build a strong understanding of customer business needs to deliver tailored and impactful data solutions, collaborating with stakeholders to translate business requirements into technical implementations.
• Utilize AWS services, including MapReduce and related tools, to enable scalable data processing and pipeline optimization while ensuring security, scalability, and cost-efficiency.
• Monitor and improve the performance of data systems and processes, staying updated on industry trends and emerging technologies in data engineering and analytics.

Required Skills:

• Minimum 3 years of experience with AWS cloud data lake architectures including services like S3, Glue, Athena, and Redshift.
• Hands on experience with Apache Airflow for designing and managing complex data workflows.
• Deep understanding of data warehouse concepts, architectures, and structures.
• Expertise in cloud technologies, particularly AWS services, including AWS Glue, AWS Data Lake, and Amazon EMR for big data processing.
• Proven ability to design and build robust, scalable data pipelines for big data processing and transformation.
• Hands-on experience with big data tools and frameworks such as PySpark, Databricks, and related technologies.
• Proficiency in programming languages such as Python for data manipulation, transformation, and analysis. Advanced Python development skills, including experience with AWS SDKs (e.g. boto3) for interacting with cloud services.
• Proficiency in Apache Kafka for real-time data streaming and event-driven architectures.
• Strong SQL skills with a focus on complex query development and optimization. Familiarity with NoSQL databases such as DynamoDB or MongoDB
• Experience integrating Python applications with RESTful APIs and external services
• Deep understanding of data security best practices, including encryption at rest and in transit. Hands-on experience in implementing AWS KMS (Key Management Services) for managing encryption keys.
• Familiarity with IAM policies, VPC configurations, and security groups for securing data pipelines.
• Familiarity with machine learning concepts and their application to data cleaning and integration tasks.
• Advanced English proficiency, with excellent communication skills for collaborating with stakeholders

Exciting Benefits we offer: