At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries.
This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please.
Job Title: AWS Databricks Engineer / Developer
Position: LA
Experience: 4 – 8 yrs.
Category: Software Development/ Engineering
Main location: Bangalore or Chennai
Position ID: J0424-0103
Employment Type: Full Time
Qualification: Bachelor's degree in Computer Science or related field
Responsibilities:
1. Architecture Design: Design scalable and reliable data analytics and machine learning architectures leveraging the Databricks platform to meet business requirements and objectives.
2. Platform Implementation: Implement and configure Databricks clusters, workspaces, notebooks, and other components to support data processing, analytics, and model development workflows.
3. Data Engineering: Develop and optimize data pipelines for ingesting, processing, and transforming large volumes of data from diverse sources using Databricks and related technologies.
4. Data Modeling: Design and implement data models, schemas, and storage structures within Databricks for efficient data organization and querying.
5. Machine Learning: Build and deploy machine learning models using Databricks ML frameworks and libraries, and integrate them into production workflows for predictive analytics and decision support.
6. Performance Optimization: Optimize Databricks jobs, queries, and workflows for performance, scalability, and cost-efficiency, leveraging best practices and optimization techniques.
7. Security and Governance: Implement security controls, access management policies, and data governance frameworks within Databricks to ensure data privacy, compliance, and regulatory requirements.
8. Collaboration: Collaborate with data engineers, data scientists, business analysts, and stakeholders to understand requirements, design solutions, and deliver actionable insights using Databricks.
9. Documentation and Training: Document Databricks architecture, design decisions, configurations, and best practices, and provide guidance and training to team members on Databricks usage and methodologies.
10. Continuous Improvement: Stay abreast of the latest developments in Databricks and related technologies, evaluate new features and capabilities, and recommend enhancements to optimize data analytics workflows.
Qualifications:
1. Experience in Oil & Gas domain preferable.
2. Proven experience designing, implementing, and managing data analytics and machine learning solutions using Databricks.
3. Strong proficiency in Apache Spark, SQL, Python, and Scala, with hands-on experience developing data pipelines and machine learning models.
4. Expertise in cloud platforms such as AWS, Azure, or Google Cloud Platform, with a focus on data services and analytics offerings.
5. Experience with data engineering tools and frameworks such as Apache Kafka, Apache Airflow, and Apache Hadoop.
6. Knowledge of containerization technologies (e.g., Docker, Kubernetes) and infrastructure-as-code tools (e.g., Terraform) is a plus.
7. Excellent problem-solving and analytical skills, with the ability to troubleshoot complex issues and optimize performance in distributed systems.
8. Effective communication and collaboration skills, with the ability to work with cross-functional teams in a dynamic environment.
9. Databricks certification (e.g., Databricks Certified Associate Developer, Databricks Certified Associate Data Scientist) is desirable but not mandatory.
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.