Deloitte
Lead Senior Associate | Google Cloud Platform Data Engineering | Bengaluru | Engineering as a Servic
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- • Bachelor's or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
- • 5+ years of experience in data engineering, with at least 3+ years working extensively on GCP.
- • Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting.
- • Proven experience with GCP services such as:
- • BigQuery
- • Dataflow / Apache Beam
- • Pub/Sub
- • Cloud Storage
- • Cloud Composer (Airflow)
- • Cloud Functions
- • Experience in building large-scale ETL/ELT pipelines and optimizing query performance on cloud platforms.
- • Solid understanding of data modeling, partitioning, and schema design for analytical workloads.
- • Familiarity with CI/CD practices, Terraform, and version control (e.g., Git).
Nice to have
- • GCP Professional Data Engineer Certification or equivalent.
- • Experience with Looker, dbt (data build tool), or similar data modeling tools.
- • Prior work with streaming data architectures and technologies such as Kafka, Spark Streaming, or Flink.
- • Experience in data privacy, GDPR/CCPA compliance, and implementing data security at rest and in transit.
- • Exposure to DevOps and container orchestration tools (e.g., Kubernetes, Cloud Run).
- • Strong analytical and problem-solving skills with attention to performance and scalability.
- Soft Skills
- • Excellent communication and stakeholder engagement skills.
- • Proven ability to work independently and lead complex projects end-to-end.
- • Collaborative mindset with a drive to mentor, document, and share knowledge.
Full description
GCP Data Engineer
Must Have : GCP Bigquery, GCP Composure;CloudStorage, GCP DataProc; Airflow, SQL, Architecture, Python, PySpark, Spark, PubSub,
Good to have :Hive, HDFS, GCP other services,CloudRun, CloudFunctions, DataFlow, Other Cloud, NoSQL Dbs
Minimum Qualifications
- Bachelor's or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
- 5+ years of experience in data engineering, with at least 3+ years working extensively on GCP.
- Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting.
- Proven experience with GCP services such as:
- BigQuery
- Dataflow / Apache Beam
- Pub/Sub
- Cloud Storage
- Cloud Composer (Airflow)
- Cloud Functions
- Experience in building large-scale ETL/ELT pipelines and optimizing query performance on cloud platforms.
- Solid understanding of data modeling, partitioning, and schema design for analytical workloads.
- Familiarity with CI/CD practices, Terraform, and version control (e.g., Git).
Preferred Qualifications
- GCP Professional Data Engineer Certification or equivalent.
- Experience with Looker, dbt (data build tool), or similar data modeling tools.
- Prior work with streaming data architectures and technologies such as Kafka, Spark Streaming, or Flink.
- Experience in data privacy, GDPR/CCPA compliance, and implementing data security at rest and in transit.
- Exposure to DevOps and container orchestration tools (e.g., Kubernetes, Cloud Run).
- Strong analytical and problem-solving skills with attention to performance and scalability.
Soft Skills
- Excellent communication and stakeholder engagement skills.
- Proven ability to work independently and lead complex projects end-to-end.
- Collaborative mindset with a drive to mentor, document, and share knowledge.