Data Engineer - PySpark , AWS
Hyderābād (Hyderābād)
Job description
Position Description:
Company Profile:
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: Software Engineer – Data Engineering
Category: Data Engineering / Healthcare IT
Position ID: J0226-0077
Employment Type: Full Time
Work Model: As per project requirement
Shift: General
Position Description
Works independently under limited supervision as a Data Engineer in a healthcare IT environment. Plays a critical role in building and maintaining scalable, reliable data infrastructure that empowers analysts, data scientists, and product teams to generate insights and build data-driven products. Contributes to architecture decisions, data pipeline development, and high-quality data solutions in a fast-paced, innovative environment.
Your future duties and responsibilities:
• Design, develop, and maintain highly reliable and efficient data pipelines.
• Guide data infrastructure design and develop proof-of-concepts for recommended solutions.
• Collaborate with engineering and product teams to support research initiatives and develop new data products.
• Design, develop, QA, and maintain data engineering code and workflows.
• Maintain documentation for the Data Warehouse and related data products.
• Ensure high standards for data quality, performance, scalability, and reliability.
• Provide technical thought leadership and dependable execution across diverse data projects.
Required qualifications to be successful in this role:
Must-Have Skills
• Master’s degree in Computer Science or equivalent practical experience.
• Strong expertise in SQL and relational databases.
• Deep hands-on experience with Apache Spark / PySpark.
• Strong understanding of data warehouse design, including star schemas and dimensional modeling.
• Proven experience building data pipelines from first-party and third-party data sources.
• Strong problem-solving skills with a proactive, ownership-driven mindset.
• Strong focus on code quality, architecture, and documentation.
Good-to-Have Skills
• Experience with AWS cloud services such as S3, Athena, EMR, and Kinesis.
• Experience with data pipeline orchestration tools (Airflow, Luigi).
• Experience with ETL tools such as Talend or similar platforms.
• Exposure to business intelligence tools (Tableau, Qlik).
• Hands-on experience with Databricks.
Skills:
· Data Analysis
· Spark SQL
What you can expect from us:
Together, as owners, let’s turn meaningful insights into action.
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.