Senior Google Data Engineer

Overview

Position Description

Google Cloud Data Engineer

Job Description:

We are seeking a highly skilled Senior Data Engineer with extensive experience in Google Cloud Platform (GCP) data services and big data technologies. The ideal candidate will be responsible for designing, implementing, and optimizing scalable data solutions while ensuring high performance, reliability, and security.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and architectures using GCP data services.
• Implement and optimize solutions using BigQuery, Dataproc, Composer, Pub/Sub, Dataflow, GCS, and BigTable.
• Work with GCP databases such as Bigtable, Spanner, CloudSQL, AlloyDB, ensuring performance, security, and availability.
• Develop and manage data processing workflows using Apache Spark, Hadoop, Hive, Kafka, and other Big Data technologies.
• Ensure data governance and security using Dataplex, Data Catalog, and other GCP governance tooling.
• Collaborate with DevOps teams to build CI/CD pipelines for data workloads using Cloud Build, Artifact Registry, and Terraform.
• Optimize query performance and data storage across structured and unstructured datasets.
• Design and implement streaming data solutions using Pub/Sub, Kafka, or equivalent technologies.
  
  

Required Skills & Qualifications:

• 8-15 years of experience
• Strong expertise in GCP Dataflow, Pub/Sub, Cloud Composer, Cloud Workflow, BigQuery, Cloud Run, Cloud Build.
• Proficiency in Python and Java, with hands-on experience in data processing and ETL pipelines.
• In-depth knowledge of relational databases (SQL, MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Scylla, Cassandra, DynamoDB).
• Experience with Big Data platforms such as Cloudera, Hortonworks, MapR, Azure HDInsight, IBM Open Platform.
• Strong understanding of AWS Data services such as Redshift, RDS, Athena, SQS/Kinesis.
• Familiarity with data formats such as Avro, ORC, Parquet.
• Experience handling large-scale data migrations and implementing data lake architectures.
• Expertise in data modeling, data warehousing, and distributed data processing frameworks.
• Deep understanding of data formats such as Avro, ORC, Parquet.
• Certification in GCP Data Engineering Certification or equivalent.
  
  

Good to Have:

• Experience in BigQuery, Presto, or equivalent.
• Exposure to Hadoop, Spark, Oozie, HBase.
• Understanding of cloud database migration strategies.
• Knowledge of GCP data governance and security best practices.
  
  

Your future duties and responsibilities

Required Qualifications To Be Successful In This Role

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.