Onix DataMetica is Hiring GCP Data Engineers in Hyderabad

Job Summary

We are seeking a highly skilled GCP Data Engineer to join our data platform team. In this role, you will be responsible for designing, constructing, and maintaining robust, scalable data pipelines and cloud infrastructure using Google Cloud Platform (GCP). You will collaborate closely with Data Scientists, Business Intelligence Analysts, and Software Engineers to turn raw data into actionable insights while ensuring security, reliability, and cost-efficiency.

Key Responsibilities

• Pipeline Development: Design, build, and deploy high-performance batch and real-time streaming ETL/ELT data pipelines using GCP native tools (Dataflow, Dataproc, Data Fusion, dbt).
• Data Architecture & Warehousing: Model and maintain modern enterprise data warehouses using BigQuery, optimizing query performance, partitioning, and clustering strategy.
• Streaming & Messaging: Ingest and process high-throughput real-time streaming data streams using Pub/Sub and Apache Beam/Spark.
• Orchestration & Workflow: Build and automate end-to-end data workflows using Cloud Composer (Apache Airflow) or workflows.
• Infrastructure as Code (IaC): Automate GCP resource provisioning using Terraform and maintain robust CI/CD deployment pipelines.
• Governance & Security: Implement data privacy, governance, IAM roles, encryption standards (KMS), and row/column-level security across GCS and BigQuery.
• Observability & Optimization: Monitor pipeline stability using Cloud Monitoring and Logging; continuously tune performance and manage GCP cost efficiency.

Required Qualifications & Skills

Technical Skills

• GCP Ecosystem: Deep hands-on experience with core Google Cloud services (BigQuery, Cloud Storage, Dataflow, Cloud Composer, Pub/Sub, Dataproc).
• Programming Languages: Advanced proficiency in Python, SQL, and optionally Java or Scala.
• Data Engineering Frameworks: Strong knowledge of PySpark, Apache Beam, SQL modeling (Star/Snowflake Schema), and transformation frameworks like dbt or Dataform.
• DevOps & IaC: Hands-on experience with Terraform, Git, and CI/CD pipelines (GitHub Actions, GitLab, or Jenkins).
• Data Stores: Understanding of relational (Cloud SQL/Spanner) and NoSQL (Bigtable, Firestore) database technologies.

Soft Skills & Experience

• Bachelors degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience).
• Proven track record of architecting cloud data solutions at scale.
• Excellent problem-solving, debugging, and cross-functional communication skills.

Preferred / Nice-to-Have Skills

• Google Cloud Certified — Professional Data Engineer certification.
• Experience with AI/ML feature engineering or integrations with Vertex AI.
• Experience with data governance tools (Data Catalog, Dataplex).