Big Data Engineer
Big Data Engineer
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Job Description
Position Description:
Company Profile:
At CGI were a team of builders. We call our employees members because all who join CGI are building their own company one that has grown to 72000 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 were a team of builders. We call our employees members because all who join CGI are building their own company one that has grown to 72000 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 results for our clients and for our members. Come grow with us. Learn more at .
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 fulltime permanent members start on the first day of employment and include a paid timeoff 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: 58yrs
Category: IT Infrastructure
Main location: India Karnataka Bangalore
Employment Type: Full Time
Primary skillData Engineer
Qualification: Bachelors degree in Computer Science or related field or higher.
Roles and Responsibilities
Data Engineer 58 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 crossfunctional teams to identify and prioritize data engineering requirements and to develop and deploy datadriven solutions to address business challenges.
Build and maintain scalable data storage and retrieval systems (e.g. data lakes data warehouses databases) faulttolerant and highperformance 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 highperformance 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:
Bachelors or masters degree in computer science engineering or related field.
At least 58 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 problemsolving 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 .
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 pipelinesdata 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 lets turn meaningful insights into action.
Life at CGI is rooted in ownership teamwork respect and belonging. Here youll 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. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.
Your work creates value. Youll 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.
Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and wellbeing and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our teamone of the largest IT and business consulting services firms in the world.
Employment Type
Full-Time
