Data Engineer - SQL

Role Overview: As a Senior Data Engineer at Veersa, you will play a key role in architecting and implementing scalable data integration and data pipeline solutions using Azure cloud services. Your responsibilities will include designing, developing, and maintaining ETL/ELT processes, automating data workflows, and collaborating with stakeholders to ensure data requirements are met. Additionally, you will lead code reviews, mentor junior engineers, and stay updated with emerging technologies to enhance the team's effectiveness. Key Responsibilities: - Architect and implement scalable data integration and data pipeline solutions using Azure cloud services. - Design, develop, and maintain ETL/ELT processes using SQL, Python, and Airflow. - Build and automate data workflows and orchestration pipelines, utilizing tools like Airflow. - Write and maintain Bash scripts for automating system tasks and managing data jobs. - Collaborate with business and technical stakeholders to translate data requirements into technical solutions. - Develop data flows, data mappings, and data quality & validation rules across multiple systems. - Implement best practices for data modeling, metadata management, and data governance. - Configure, maintain, and monitor integration jobs to ensure high availability and performance. - Lead code reviews, mentor data engineers, and contribute to shaping engineering culture and standards. - Stay updated with emerging technologies and recommend tools or processes for team improvement. Qualification Required: - B.Tech or B.E degree in Computer Science, Information Systems, or related field. - 3+ years of experience in data engineering, with a focus on Azure-based solutions. - Proficiency in SQL and Python for data processing and pipeline development. - Experience in developing and orchestrating pipelines using Airflow and writing automation scripts using Bash. - Knowledge of Azure Data Factory, Azure Data Lake, Azure Synapse, Databricks, or similar technologies. - Strong understanding of data warehousing principles, ETL/ELT methodologies, and data pipeline architecture. - Familiarity with data quality, metadata management, and data validation frameworks. - Strong problem-solving skills and ability to communicate technical concepts clearly. Additional Details: Veersa is a healthtech company specializing in leveraging emerging technology and data science to provide innovative solutions to its client base in the US healthcare industry. The company offers a range of tech frameworks, platforms, and accelerators, and has established itself as a preferred innovation partner for small and medium entities in the healthcare space. Veersa's rich technology expertise covers areas such as AI/ML, IoT, and Blockchain, with a variety of tech stacks and databases utilized on cloud platforms like AWS and Azure. The company operates two major business lines: Veersalabs for in-house R&D and product development, and Veersa tech consulting for technical solutions delivery to clients.,