Lead Senior Associate | Google Cloud Platform Data Engineering | Gurugram | Engineering as a Service
Deloitte Advisory17 days ago
Gurgaon, IndiaStaff+
Responsibilities
- Build and optimize large-scale ETL/ELT pipelines on Google Cloud Platform.
- Design data models, partitioning strategies, schemas, and architectures for analytical workloads.
- Develop data processing and scripting solutions using SQL, Python, Java, or Scala.
- Work with batch and streaming data architectures using GCP and distributed processing technologies.
- Optimize query performance, scalability, and reliability of cloud data platforms.
- Implement CI/CD, infrastructure as code, version control, data security, and privacy controls.
- Lead complex projects end-to-end while mentoring, documenting, and sharing knowledge with team members.
- Engage stakeholders and communicate technical solutions effectively.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
- At least 5 years of experience in data engineering, including at least 3 years working extensively with GCP.
- Strong proficiency with SQL, Python, and/or Java or Scala for data processing and scripting.
- Experience with BigQuery, Dataflow or Apache Beam, Pub/Sub, Cloud Storage, Cloud Composer or Airflow, and Cloud Functions.
- Experience building large-scale ETL/ELT pipelines and optimizing cloud query performance.
- Strong understanding of data modeling, partitioning, and schema design for analytical workloads.
- Familiarity with CI/CD practices, Terraform, and version control such as Git.
- Preferred GCP Professional Data Engineer Certification or equivalent.
- Experience with Looker, dbt, or similar data modeling tools.
- Experience with Kafka, Spark Streaming, or Flink and streaming data architectures.
- Experience with data privacy, GDPR/CCPA compliance, and security for data at rest and in transit.
- Exposure to DevOps and container orchestration tools such as Kubernetes and Cloud Run.
- Strong analytical, problem-solving, communication, stakeholder engagement, collaboration, and mentoring skills.
Tech Stack
Apache AirflowApache BeamApache FlinkApache HiveApache KafkaApache SparkdbtGitGoogle BigQueryGoogle Cloud PlatformJavaKubernetesPythonScalaSQLTerraform
Categories
Data Engineering
About Deloitte Advisory
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