Data Engineer

Posted 3 Days Ago
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Karachi, Sindh, PAK
In-Office
Mid level
Information Technology • Professional Services • Software • Consulting
The Role
Design, develop, and optimize scalable data pipelines, ETL solutions, data lakes, warehouses, and real-time streaming workflows. Build secure AWS-based data architectures using services such as S3, Glue, Athena, Redshift, EMR, and MapReduce. Use Python, SQL, PySpark, Databricks, Airflow, and Kafka to process and integrate large datasets. Collaborate with stakeholders, apply machine learning techniques to data preparation, and improve system performance, scalability, and cost efficiency.
Summary Generated by Built In

About Contour


Contour Software 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:  
Constellation Payments is a leading global gateway and merchant services provider with special expertise in software integration and recurring transactions representing a wide variety of verticals – including government entities, municipalities, moving and storage, club management, attractions, fitness, martial arts, event registration and hospitality management.  

  

The Position:  
We are looking for a Data Engineer 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:  

  • 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. 

Constellation Payments | Enterprise Payment Processing 

Enterprise-grade payment infrastructure for SaaS businesses. Secure, scalable APIs, fraud protection, and global payment solutions built for growth. 

  

Exciting Benefits we offer:

  • Market-leading Salary
  • Medical Coverage – Self & Dependents
  • Parents Medical Coverage
  • Provident Fund
  • Employee Performance-based bonuses
  • Home Internet Subsidy
  • Conveyance Allowance
  • Profit Sharing Plan [Tenured Employees Only]
  • Life Benefit
  • Child Care Facility
  • Company Provided Lunch/Dinner
  • Professional Development Budget
  • Recreational area for in-house games
  • Sporadic On-shore training opportunities
  • Friendly work environment
  • Leave Encashment

Disclaimer: At Contour, we attribute our success to the unique contributions of our diverse staff. We’re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we’ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.


In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.


Skills Required

  • Minimum 3 years of experience with AWS cloud data lake architectures, including 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 with AWS services, including AWS Glue, AWS Data Lake, and Amazon EMR
  • Experience designing and building scalable data pipelines for big data processing and transformation
  • Hands-on experience with PySpark, Databricks, and related big data technologies
  • Proficiency in Python for data manipulation, transformation, and analysis
  • Advanced Python development skills, including AWS SDKs such as boto3
  • Proficiency in Apache Kafka for real-time data streaming and event-driven architectures
  • Strong SQL skills focused 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
  • Understanding of data security best practices, including encryption at rest and in transit
  • Hands-on experience implementing AWS KMS for encryption key management
  • Familiarity with IAM policies, VPC configurations, and security groups
  • Familiarity with machine learning concepts and their application to data cleaning and integration
  • Advanced English proficiency and excellent communication skills

Contour Software Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Contour Software and has not been reviewed or approved by Contour Software.

  • Inclusive Benefits Coverage — Medical coverage extends to employees and dependents, with parent coverage included in some packages. Feedback suggests these family-oriented protections are a standout aspect of the offering.
  • Retirement Support — Provident-fund or retirement plans and life insurance are part of the package. These elements are positioned as core financial safeguards for employees.
  • Parental & Family Support — Childcare support is highlighted among the benefits. These provisions align with a package geared toward stability for employees with dependents.

Contour Software Insights

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The Company
HQ: Markham
2,559 Employees
Year Founded: 2010

What We Do

Contour Software is a wholly owned subsidiary of Constellation Software Inc. (CSI), specializing in IT services and consulting. The company provides augmented teams of professional IT staff to support 245 business units within CSI, helping them implement, support, extend, and enhance the mission-critical enterprise systems that power thousands of medium and large businesses and public institutions globally.

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