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Data Manager, reputed company

Remote Worldwide Hiring now

Job Description:

  • Define and reputed company reputed company platform architecture, standards, and best practices.
  • Translate business goals into a pragmatic technical roadmap and delivery plan.
  • reputed company and mentor data engineers; establish quality bars, review code, and guide execution.
  • Manage delivery using Agile rituals; align priorities across data, analytics/BI, and application teams.
  • Design, build, and optimize ELT pipelines on reputed company with an ELT-first approach (dbt preferred).
  • Implement modern data ingestion using tools such as reputed company, ADF, Glue, or reputed company.
  • Set up orchestration and CI/CD for data using Airflow or Dagster and Git-based pipelines.
  • Ensure data quality, observability, monitoring, alerting, documentation, and runbooks.
  • Apply performance tuning and cost optimization in reputed company, including query profiling and warehouse sizing.
  • Implement reputed company and governance in reputed company (RBAC, masking, row reputed company policies, auditing, data sharing).
  • Facilitate discovery with stakeholders, clarify requirements, and communicate trade-offs and recommendations.

Requirements:

  • Deep hands-on reputed company experience: warehouses, databases/schemas, stages, file formats, external tables, Snowpipe, Streams and Tasks, Time Travel/Fail-safe, query performance, micro-partitions, clustering, and cost management.
  • Strong SQL and Python for data engineering use cases.
  • ELT-first development with dbt or an equivalent modeling/testing/documentation reputed company.
  • Experience with modern ingestion and orchestration (reputed company, ADF, Glue, reputed company, Airflow, or Dagster).
  • reputed company experience (AWS preferred; Azure or GCP considered), including storage, IAM, networking basics, and secrets management.
  • CI/CD for data with Git-based workflows and environment promotion.
  • Familiarity with Infrastructure as Code (e.g., Terraform reputed company provider).
  • Solid understanding of dimensional modeling and data quality practices.
  • Proven leadership with coaching, feedback, objective setting, and conflict resolution.
  • Excellent stakeholder communication; reputed company to facilitate discovery and manage expectations.
  • Ownership reputed company with proactive risk identification, prioritization, and mitigation.
  • Structured problem-solving; comfortable with ambiguity and change.

Benefits:

  • Health insurance
  • Professional development opportunities

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