Senior Python Data Engineer — Azure Databricks

2 days ago

Noida, Uttar Pradesh, India Algoworks Full time ₹ 8,00,000 - ₹ 16,00,000 per year

About the role

We're looking for a Senior Python Data Engineer (4+ years) with deep hands-on experience in Azure Databricks, PySpark, Spark SQL, and Power BI. You'll design, build, and optimize reliable data platforms and analytics solutions—partnering with product, analytics, and business teams in a fast-paced, collaborative environment.

What you'll do


• Design and implement scalable ETL/ELT pipelines on Azure Databricks using PySpark/Spark SQL.


• Model data for semantic layers powering BI and analytics use cases.


• Build and maintain Power BI datasets, reports, and dashboards (DAX, data modeling, Power Query).


• Write, refactor, and optimize Python notebooks for transformation, feature engineering, and analysis.


• Ensure data quality, accuracy, and consistency across reporting platforms; implement validations and checks.


• Automate data workflows and report refreshes with Python and Power BI.


• Collaborate on data governance, security, and compliance practices in cloud environments.


• Partner cross-functionally to translate business requirements into robust technical solutions.

Required qualifications


• 4+ years of software/data engineering experience with a strong emphasis on Python.


• Expertise in PySpark (DataFrames/Datasets) and Spark SQL for scalable pipelines.


• Proven experience building interactive Power BI dashboards and reports.


• Strong SQL skills (complex queries, performance tuning, joins across multiple tables/views).


• Familiarity with Azure services—especially Azure Data Lake and Azure Data Factory.


• Solid understanding of data governance, data management, security, and compliance in the cloud.


• Track record of ensuring data integrity and reliability across analytics/BI layers.

Nice to have


• Experience with Azure AI, Azure Copilot Studio, Azure Fabric.


• Workflow automation using Power Automate.


• Streaming ingestion with Azure Event Hubs or Apache Kafka; real-time data pipelines.


• Familiarity with SDLC best practices and Agile/Scrum delivery.

Skills & collaboration


• Hands-on with Power BI: DAX, Power Query, data modeling.


• Strong grasp of reporting fundamentals (KPIs, business metrics, dimensional modeling concepts).


• Excellent communication and stakeholder management; able to turn business needs into technical designs.


• Comfortable working independently, context-switching across multiple priorities, and participating in mobbing/pairing and cross-team collaboration.


• Strong problem-solving and code review skills; quality-first mindset.

Why join us


• Work on high-impact, production-grade data platforms used across the business.


• Ownership, autonomy, and an opportunity to shape our data engineering standards.


• Collaborative culture that values learning, craftsmanship, and measurable outcomes.

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