- Collaboration: Work closely with Product Owners, Analysts, and Data Scientists to understand the requirements and translate them into effective technical solutions.
- Data Platform/ Pipeline Development: Design, build, and maintain scalable data pipelines to support efficient ETL (Extract, Transform, Load) processes, integrating data from diverse sources to build our analytics data platform/ lakehouse.
- Data Visualization and Reporting: Develop and implement data visualizations/ reports. Establish a comprehensive PowerBI-based reporting framework to effectively narrate the story behind data.
- Security Implementation: Implement and continuously monitor security measures to safeguard our data lakehouse and analytics environments.
- Optimization: Continuously improve and optimize data pipelines and storage solutions to enhance performance and cost-efficiency.
Who we are looking for
- Experience: 2-5 years of hands-on experience as a Data Engineer, preferably working with the Microsoft Azure cloud platform.
- Technical Skills:
Proficient with the Azure data stack, including Azure Databricks or Snowflake, ADLS Gen2 - Lakehouse, Azure Data Factory, SQL Server and Power BI.
- Data Expertise: Strong understanding of data modeling concepts and database design principles.
- Programming Skills: Skilled in Python, SQL, or Scala for data manipulation and transformation.
- DevOps Knowledge: Solid understanding of DevOps practices.
- Communication Skills: Excellent interpersonal, verbal, and written communication skills
- Problem Solving: Capable of effectively troubleshooting and resolving complex data-related issues.
- Education: A Bachelors or Masters degree in Computer Science or a related field.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Senior Data Engineer (Hyderabad)
🏢 Providence College of Engineering
📍 Hyderabad
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