Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
About the role
- Senior Data Engineer with 3–5 years experience in building scalable Azure data pipelines. Collaborating with architects and business teams for analytics and ML use cases in AI & Data Engineering department.
Responsibilities
- Design, build, and maintain ETL/ELT pipelines using Synapse or Azure Data Factory.
- Implement data models and optimize storage for Azure Data Lake Storage (ADLS), Azure SQL, and Azure Synapse SQL.
- Write clean, performant PySpark/SQL transformations; manage job orchestration, dependencies, and retries.
- Develop and maintain Azure Functions for lightweight data transformations, event-driven ingestion, and custom pipeline activities.
- Use Azure Logic Apps to build automated workflows for data movement, validations, notifications, and approvals.
- Develop batch pipelines and streaming jobs using Azure Event Hubs / Kafka and Structured Streaming or Azure Stream Analytics.
- Contribute to data pipeline deployments using Azure DevOps (Repos, Pipelines), version control (Git), and environment management.
- Implement data validation, profiling, and monitoring (e.g., ADF/Synapse job monitoring, alerting).
- Apply best practices for RBAC, Key Vault, Managed Identities, and data governance (cataloging, lineage) using Microsoft Purview.
- Produce clear technical documentation and collaborate with BI/ML teams to support use cases.
Requirements
- 3–5 years of hands-on experience building reliable, scalable data pipelines on Microsoft Azure
- 2–3 years experience in data engineering with Azure.
- Strong problem-solving, data analysis, and root cause analysis skills
- Strong knowledge of Azure Data Factory or Azure Synapse Analytics.
- Proficiency in PySpark, SQL, and performance tuning.
Benefits
- Azure ADF Data Engineers.
- Health insurance
- Retirement plans
- Flexible work arrangements
- Professional development
- Stock options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.
Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
Data Engineer designing and maintaining data pipelines at Black Semiconductor. Collaborating with process, equipment, and IT teams to support manufacturing analytics and decision - making.
Junior Data Engineer role focusing on Business Intelligence and Big Data at Avanade. Collaborating on data analysis and SQL queries in a supportive learning environment.
GCP Data Engineer designing and developing data processing modules for Ki, an algorithmic insurance carrier. Working closely with multiple teams to optimize data pipelines and reporting.
Data Engineer at Securian Financial optimizing scalable data pipelines for AI and advanced analytics. Collaborating with teams to deliver secure and accessible data solutions.
IT Data Engineering Co‑Op at BlueRock Therapeutics supports development of scientific data systems. Collaboration on data workflows and foundational AWS data engineering tasks.
Data Engineer I building and operationalizing complex data solutions for Travelers' analytics using Databricks. Collaborating within teams to educate end users and support data governance.