SSE-DATA ENGINEER

Position Description.
Company Profile.
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 professionals located in 40 countries.
Founded in , 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 professionals located in 40 countries.
Founded in , 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 results for our clients - and for our members.
Come grow with us.
Learn more at www.
gi.
om.
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.
Data Engineer Position.
SSE Experience.
5-6yrs Category.
IT Infrastructure Main location.
India, Karnataka, Bangalore Employment Type.
Full Time Primary skill-Data Engineer Qualification.
Bachelor's degree in Computer Science or related field or higher.
Roles and Responsibilities Data Engineer - 5-6 years experience.
Responsibilities =============== • Design, develop, and maintain data architectures, pipelines, and workflows for the collection, processing, storage, and retrieval of large volumes of structured and unstructured data from multiple sources.
• Collaborate with cross-functional teams to identify and prioritize data engineering requirements and to develop and deploy data-driven solutions to address business challenges.
• Build and maintain scalable data storage and retrieval systems (e.
., data lakes, data warehouses, databases), fault-tolerant, and high-performance data platforms on cloud infrastructure such as AWS, Azure, or Google Cloud Platform.
• Develop and maintain ETL workflows, data pipelines, and data transformation processes to prepare data for machine learning and AI applications.
• Implement and optimize distributed computing frameworks such as Hadoop, Spark, or Flink to support high-performance and scalable processing of large data sets.
• Build and maintain monitoring, alerting, and logging systems to ensure the availability, reliability, and performance of data pipelines and data platforms.
• Collaborate with Data Scientists and Machine Learning Engineers to deploy models on production environments and ensure their scalability, reliability, and accuracy.
Requirements.
=============== • Bachelor’s or master’s degree in computer science, engineering, or related field.
• At least 5-6 years of experience in data engineering, with a strong background in machine learning, cloud computing and big data technologies.
• Experience with at least one major cloud platform (AWS, Azure, GCP).
• Proficiency in programming languages like Python, Java, and SQL.
• Experience with distributed computing technologies such as Hadoop, Spark, and Kafka.
• Familiarity with database technologies such as SQL, NoSQL, NewSQL.
• Experience with data warehousing and ETL tools such as Redshift, Snowflake, or Airflow.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork skills.
Preferred qualification.
=============== • Experience with DevOps practices and tools such as Docker, Kubernetes, or Ansible, Terraform.
• Experience with data visualization tools such as Tableau, Superset, Power BI, or Plotly, D3.
s.
• Experience with stream processing frameworks such as Kafka, Pulsar or Kinesis.
• Experience with data governance, data security, and compliance.
• Experience with software engineering best practices and methodologies such as Agile or Scrum.
Must Have Skills =============== data engineer with expertise in machine learning, cloud computing, and big data technologies.
Data Engineering Experince on multiple clouds one of them, preferably GCP data lakes, data warehouses, databases ETL workflows, data pipelines,data platforms Hadoop, Spark, or Flink Hadoop, Spark, and Kafka SQL, NoSQL, NewSQL Redshift, Snowflake, or Airflow Skills.
Cloud Computing Data Engineering Data flow analysis Artificial Intelligence 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.