Job Description

  • Build batch and streaming data ingestion pipelines using Pub/Sub, Dataflow, Datastream (CDC), and Storage Transfer Service
  • Load and ingest data into BigQuery via batch loads, the BigQuery Storage Write API and external/BigLake tables
  • Manage Cloud Storage (GCS) landing zones, buckets, lifecycle policies and storage classes
  • Develop ETL/ELT workflows using Dataflow (Apache Beam), Dataproc (Spark/Hadoop) and Dataprep
  • Build SQL-based transformations using Dataform and BigQuery scheduled queries
  • Implement medallion/layered architecture (raw → staging → curated/gold)
  • Design and optimize BigQuery data warehouses with partitioning, clustering, materialized views and cost controls
  • Orchestrate pipelines using Cloud Composer (Airflow) and Workflows
  • Schedule and automate jobs with Cloud Scheduler and Cloud Functions
  • Manage access and security using IAM, service accounts and Workload Identity Federation
  • Implement data governance, lineage and quality using Knowledge Catalog
  • Apply encryption (CMEK/CSEK, Cloud KMS), VPC Service Controls and DLP via Sensitive Data Protection
  • Ensure compliance with PII masking and column/row-level security in BigQuery
  • Enable analytics consumption through Looker, Looker Studio and BigQuery BI Engine
  • Monitor pipelines and resources with Cloud Monitoring, Cloud Logging, and Cloud Trace
  • Optimize query performance, slot usage, and overall cloud cost
  • Implement CI/CD using Cloud Build, Artifact Registry, and Cloud Source Repositories
  • Manage infrastructure-as-code using Terraform and Deployment Manager
  • Maintain version control, automated testing and pipeline reliability with alerting and SLAs


Job Details

Role Level: Not Applicable Work Type: Full-Time
Country: India City: Hyderabad ,Telangana
Company Website: https://Pal.Tech/ Job Function: Data Science & AI
Company Industry/
Sector:
IT Services and IT Consulting and Software Development

What We Offer


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