Note: The job is a remote job and is open to candidates in USA. Accenture Federal Services is seeking a Data Engineer to build and optimize scalable data pipelines for enterprise analytics, reporting, AI, and machine learning initiatives. The role focuses on GCP-based data engineering, pipeline development, data quality, and collaboration with technical and business teams.
Responsibilities
- Design, build, and maintain batch and streaming data pipelines
- Ingest and transform data from APIs, databases, SaaS applications, and streaming platforms
- Develop ETL/ELT processes using Python, SQL, Apache Beam (Dataflow), Spark (Dataproc), and BigQuery.Deliver high-quality, curated datasets for analytics, reporting, and machine learning
- Build ML-ready feature pipelines and support AI initiatives.Implement data quality, testing, monitoring, and governance standards
- Optimize BigQuery performance, data models, and storage structures.Manage workflow orchestration using Cloud Composer (Airflow)
- Support Infrastructure as Code (Terraform) and CI/CD deployment processes
- Collaborate with Data Scientists, ML Engineers, Architects, and business stakeholders
Skills
- 3+ years of Data Engineering experience Python, SQL, and data modeling expertise
- Hands-on experience with GCP services including: BigQuery, Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub, Cloud Storage (GCS), Cloud Composer (Airflow)
- Experience with ETL/ELT, batch and streaming data pipelines
- Knowledge of Terraform, CI/CD, and data quality best practices
- Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States
- Vertex AI, Kafka, Dataplex, Datastream, dbt, or Looker
- Experience supporting ML/AI workloads
- Federal Government or regulated industry experience (FedRAMP, HIPAA, NIST)
- CISSP or CCSP certification
Benefits
- Hands-on experience, certifications, and industry training
- Remote work
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