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Data Engineer - Remote (Us) - Full Time Only

Saransh Incstebbins, AK

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Job Description

Role: Data Engineer

Location: Remote (Candidate should be comfortable to follow PST Time Zone)

Job Type: Full Time

Note: Active LinkedIn ID is a must and match with the resume

Must Have Skills:

Azure Databricks, Apache Spark, Snowflake, Data Governance, Unity Catalog, dBT, Microsoft Purview, Kafka, SQL, Python

Experience and Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

10+ years of experience in data engineering / data architecture, with deep hands-on expertise in Microsoft Azure.

  • Expert-level experience with Azure Databricks and Apache Spark(PySpark, Spark SQL)
    • Delta Lake
    • Unity Catalog
    • Job orchestration and performance tuning
  • Strong experience with Snowflake on Azure, including:
    • Schema and data model design
    • Performance and cost optimization
    • RBAC, Streams, and Tasks
  • DBT (Core or Cloud) expertise:
    • Project structure and best practices
    • Tests, exposures, macros
  • Strong fundamentals in SQL and Python
  • Proven experience building ETL/ELT pipelines using:
    • Azure Data Factory (ADF)
    • Azure Synapse / Microsoft Fabric pipelines
  • Familiarity with streaming platforms such as Event Hubs and/or Kafka
  • Solid understanding of:
    • Lakehouse and data warehousing architectures
    • Dimensional modeling
    • Medallion architecture patterns
    • Data quality frameworks
  • Strong knowledge of security and governance, including:
    • Microsoft Purview (catalog, lineage)
    • Data masking and PII handling
    • Managed identities
    • Private networking
  • Excellent communication and documentation skills, with the ability to:
    • Create architecture and design documents
    • Present to both technical and business stakeholders
  • Consulting / agency experience, with the ability to lead multiple concurrent projects
  • Willingness to travel as required

Nice to Have:

  • Experience with Azure ML, feature stores, or serving ML pipelines from Databricks or Snowflake
  • Infrastructure as Code (IaC) using Terraform or Bicep
  • Containerization experience with Docker
  • Observability and data quality tooling, such as:
    • Great Expectations / Delta Expectations
    • Databricks Quality Flows
    • Monte Carlo
    • Datadog

Preferred Certifications:

  • Databricks Certified Data Engineer Professional or Databricks Architect
  • Microsoft Azure:
    • DP-203 Azure Data Engineer
    • Azure Solutions Architect Expert
    • Azure Security Engineer Associate
  • Snowflake:
    • SnowPro Core
    • SnowPro Advanced

Job Description / Responsibilities:

  • Partner with client stakeholders to translate business objectives into scalable Azure data architectures and delivery roadmaps
  • Architect and implement lakehouse and data warehouse solutions using:
    • Azure Databricks (Delta Lake, Unity Catalog)
    • Databricks Bundle
    • Snowflake on Azure
    • dbt (Core / Cloud)
    • ADLS Gen2
    • Medallion architecture patterns
  • Design and build robust ingestion and transformation pipelines using:
    • Azure Data Factory (ADF)
    • Microsoft Fabric / Synapse pipelines
  • Orchestrate ELT workflows using:
    • Databricks Jobs
    • Delta Live Tables
    • dbt models
  • Establish best practices for performance and cost optimization, including:
    • Cluster sizing and autoscaling
    • Photon and SQL Warehouses
    • Snowflake virtual warehouses
    • Caching, file layout optimization, Z-ordering
  • Drive observability and monitoring using:
    • Azure Monitor
    • Log Analytics
    • Databricks metrics
  • Implement robust data governance and security using:
  • Azure Authentication
    • Unity Catalog
    • RBAC / ABAC
    • Managed identities
    • Private Endpoints and VNet injection
    • Azure Key Vault backed secrets
  • Lead code and design reviews, setting standards for:
    • PySpark, SQL, and dbt
    • Unit and integration testing
    • Data quality checks (expectations and constraints)
  • Implement CI/CD pipelines using Azure DevOps or GitHub Actions
  • Guide multi-domain programs (Healthcare, Retail, BFSI, or similar)
  • Mentor data engineers and ensure high-quality, production-ready deliverables
  • Evangelize solutions through:
    • Clear documentation
    • Reference architectures
    • Executive and stakeholder presentations

Automate your job search with Sonara.

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FAQs About Data Engineer - Remote (Us) - Full Time Only Jobs at Saransh Inc

What is the work location for this position at Saransh Inc?
This job at Saransh Inc is located in stebbins, AK, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Saransh Inc?
Employer has not shared pay details for this role.
What employment applies to this position at Saransh Inc?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at Saransh Inc?
You can apply for this role at Saransh Inc either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.