Staff Software Engineer

• We are seeking a Staff Software Engineer(5I) (ETL) with 8-10 years of experience to join our ETL Development team. This role will report to the Engineering Manager and the candidate will be involved in the planning, design, and implementation of our centralized data warehouse solution for data acquisition, Ingestion and large data processing and automation/optimization across all the company products.

About the Role:

• Candidate will play a crucial role in designing, developing, and leading the implementation of ETL processes and data architecture solutions.
• Will collaborate with various stakeholders to ensure the seamless integration, transformation, and loading of data to support our data warehousing and analytics initiatives.

Key Responsibilities:

• Lead the design and architecture of ETL processes and data integration solutions.
• Develop and maintain ETL workflows using tools such as SSIS, Azure Databricks, SparkSQL or similar.
• Collaborate with data architects, analysts, and business stakeholders to gather requirements and translate them into technical solutions.
• Optimize ETL processes for performance, scalability, and reliability.
• Conduct code reviews, provide technical guidance, and mentor junior developers.
• Troubleshoot and resolve issues related to ETL processes and data integration.
• Ensure compliance with data governance, security policies, and best practices.
• Document ETL processes and maintain comprehensive technical documentation.
• Stay updated with the latest trends and technologies in data integration and ETL.

Qualifications:

• Bachelors degree in computer science, Information Technology, or a related field.
• 10-12 years of experience in ETL development and data integration.
• Expertise in ETL tools such as SSIS, T-SQL, Azure Databricks or similar.
• Knowledge of various SQL/NoSQL data storage mechanisms and Big Data technologies
• and experience in Data Modeling.
• Knowledge of Azure data factory, Azure Data bricks, Azure Data Lake.
• Experience in Scala, SparkSQL, Airflow is preferred.
• Proven experience in data architecture and designing scalable ETL solutions.
• Excellent problem-solving and analytical skills.
• Strong communication and leadership skills.
• Ability to work effectively in a team-oriented environment.
• Experience working with agile methodology.
• Healthcare industry experience preferred.