Data Engineer

Overview

Position Description

Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com.

Job Title: Data Engineer

Position: Senior Software Engineer

Experience: 7 - 12 Years

Category: Software Development/ Engineering

Shift: Hybrid - (1PM to 10 PM Shift)

Main location: Hyderabad

Position ID: J1025-1301

Employment Type: Full Time

Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 6 years of relevant experience.

Position Description: We are seeking a highly experienced and skilled Staff/Senior Data Engineer to join our growing data team. In this pivotal role, you will be instrumental in designing, building, and maintaining our robust data infrastructure, ensuring the availability, reliability, and scalability of our data pipelines. You will work closely with data scientists, analysts, and product teams to transform raw data into actionable insights that power our business. If you are passionate about data, enjoy solving complex technical challenges, and thrive in a fast-paced environment, we encourage you to apply.

Your future duties and responsibilities

• Design & Development: Lead the design, development, and implementation of scalable, high-performance, and reliable data pipelines using various ETL/ELT tools and programming languages (e.g., Python, Scala).
• Data Modeling: Develop and optimize data models (dimensional, relational, columnar) for efficient storage, retrieval, and analysis of large datasets.
• Infrastructure Management: Build, maintain, and optimize data warehousing solutions (e.g., Snowflake, Redshift, BigQuery, Databricks) and data lakes (e.g., S3, ADLS).
• Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and queries, ensuring optimal data flow and accessibility.
• Data Governance & Quality: Implement and enforce data governance best practices, ensuring data quality, integrity, security, and compliance.
• Collaboration: Work closely with data scientists, data analysts, and product managers to understand data requirements and translate them into technical solutions.
• Automation: Automate data extraction, transformation, loading (ETL/ELT) processes, monitoring, and alerting.
• Mentorship & Leadership: Mentor junior data engineers, provide technical guidance, and contribute to the overall growth and best practices of the data engineering team.
• Innovation: Stay up-to-date with emerging data technologies and trends, evaluating and recommending new tools and approaches to improve our data platform.
  
  

Documentation: Create and maintain comprehensive documentation for data pipelines, models, and processes.

Required Qualifications To Be Successful In This Role

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 5+ years of professional experience as a Data Engineer, with a strong track record of designing and implementing complex data solutions.
• Expert proficiency in SQL for data manipulation, analysis, and optimization.
• Strong programming skills in Python for data engineering tasks.
• Extensive experience with cloud-based data platforms such as AWS (S3, Glue, Lambda, Redshift, EMR), Azure (Data Lake, Data Factory, Synapse), or GCP (BigQuery, Dataflow, Cloud Storage).
• Proven experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery, Databricks).
• Solid understanding of ETL/ELT processes and tools.
• Experience with big data technologies like Spark, Hadoop, or Kafka.
• Familiarity with data modeling techniques (star schema, snowflake schema, 3NF).
• Experience with version control systems (e.g., Git).
• Excellent problem-solving skills and the ability to troubleshoot complex data issues.
• Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
  
  

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team—one of the largest IT and business consulting services firms in the world.