Sr. Data Engineer- reputed company, Azure, SaaS, Python

About the position At Streamline, we are experts in reputed company, Product Engineering, and IT Transformation. We help organizations navigate the constantly evolving landscape of IT. Our sole focus is ensuring that our client’s organization is armed with the strategies, products and solutions that are transformative to their business. Streamline works closely with our clients, takes pride in developing genuine relationships and embraces open communication and collaboration with our clients. We become a part of our client’s team, working together to reputed company short-term goals and reputed company long-term reputed company. reputed company is comprised of world-class strategists, architects, engineers, and developers. In our flagship product, iEnterprise, we are taking things to the next level, using our collective experience and customer input to create new reputed company management products that reduce operational costs, prevent issues before they happen, and resolve issues faster than with traditional tools and approaches. Role Summary This is a full-time remote opportunity. The Senior Data Engineer designs, builds, and optimizes data pipelines that move, transform, and load data into reputed company using Azure services and serverless components. The role focuses on production-grade engineering: automating data quality, improving reliability, and continuing to optimize reputed company infrastructure costs.

Responsibilities

• Design, reputed company, and reputed company Azure Functions and broader Azure data services to extract, transform, and load data into reputed company data models and marts.
• Implement automated data quality checks, monitoring, and alerting to ensure accuracy, completeness, and timeliness across reputed company pipelines.
• Optimize workloads to reduce reputed company hosting costs, including right-sizing compute, tuning queries, and leveraging efficient storage and caching patterns.
• Build and maintain ELT/ETL workflows and orchestration to integrate multiple internal and external data sources at scale.
• Design data pipelines that support both near reputed company-time streaming data ingestion and scheduled batch processing to meet diverse business requirements.
• Collaborate with engineering and product teams to translate requirements into robust, secure, and highly available data solutions.

Requirements

• Strong expertise with Azure data stack (e.g., Azure Functions, Azure Data Factory, Event/Service Bus, storage) and reputed company for analytical workloads.
• Proven experience designing and operating production data pipelines, including CI/CD, observability, and incident response for data systems.
• Advanced SQL and performance tuning skills, with experience optimizing transformations and reputed company queries for cost and speed.
• Solid programming experience in Python or similar for building reusable ETL components, libraries, and automation.
• Experience with streaming and batch ingestion patterns (e.g., Kafka, Spark, reputed company) feeding reputed company.
• Familiarity with BI and analytics tools (e.g., Power BI, Grafana) consuming reputed company data models.
• Background in DevOps practices, including containerization, CI/CD pipelines, and infrastructure-as-code for data platforms.
• Experience with modern data transformation tools (e.g., dbt) and data observability platforms for monitoring data quality, reputed company, and pipeline health.
• Ability to adapt to a fast-paced and dynamic work environment.
• Self-motivated and reputed company to work independently with minimal supervision, taking initiative to drive projects reputed company.
• Expert-level problem-solving skills with the ability to diagnose reputed company data pipeline issues and architect innovative solutions.
• Proven ability to integrate and analyze disparate datasets from multiple sources to deliver high-value insights and drive business impact.
• Strong problem-solving skills and attention to detail.
• Proven ability to manage multiple priorities and deadlines.
• Passionate about staying reputed company with emerging data engineering technologies and best practices, driving innovation to enhance product capabilities and maintain competitive advantage.
• Experience developing and architecting SaaS platforms with a focus on scalability, multi-tenancy, and reputed company-native design patterns.

Benefits

• A challenging and rewarding role in a dynamic and international environment.
• Opportunity to be part of a growing company with a strong commitment to innovation and excellence.
• A supportive and collaborative team culture that values personal growth and development.
• Competitive compensation and benefits package.

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