Associate Snaplogic Developer

As a Senior Data Engineer at PwC, you will be responsible for designing, building, and maintaining data integration and ETL pipelines using SnapLogic. Your role will involve developing and optimizing complex SQL queries, working with structured and unstructured data in large-scale data warehouse environments, and leveraging Databricks for advanced data processing and analytics. Collaboration with data analysts, data scientists, and business stakeholders to gather and understand data requirements is key, along with ensuring data quality, integrity, and governance across platforms. Additionally, you will create clear documentation for data workflows, architecture, and processes, participate in code reviews, and promote best practices in data engineering. Key Responsibilities: - Design, build, and maintain data integration and ETL pipelines using SnapLogic - Develop and optimize complex SQL queries to support business analytics and reporting - Work with structured and unstructured data in large-scale data warehouse environments - Leverage Databricks for advanced data processing, transformation, and analytics - Collaborate with data analysts, data scientists, and business stakeholders to gather and understand data requirements - Ensure data quality, integrity, and governance across platforms - Create clear documentation for data workflows, architecture, and processes - Participate in code reviews and promote best practices in data engineering Qualifications Required: - 5+ years of experience with SnapLogic in enterprise-level data integration projects - 6+ years of experience with ETL pipeline development and data warehousing - Strong proficiency in SQL (performance tuning, complex joins, stored procedures, etc.) - 3+ years of hands-on experience with Databricks (Spark, Delta Lake, etc.) - Solid understanding of cloud data ecosystems and data modeling principles - Excellent problem-solving and communication skills Preferred Skills: - Experience with Python for scripting or data processing tasks - Familiarity with CI/CD practices - Knowledge of data governance, privacy, and compliance best practices Additional Details: PwC is committed to providing equal employment opportunities and creating an inclusive environment where individuals can bring their true selves to work. We have zero tolerance for discrimination and harassment based on various factors. Our purpose-led and values-driven work environment, supported by technology and innovation, enables our employees to make a tangible impact in the real world. With inclusive benefits, flexibility programs, and mentorship opportunities, we strive to help our employees thrive in both work and life. As a Senior Data Engineer at PwC, you will be responsible for designing, building, and maintaining data integration and ETL pipelines using SnapLogic. Your role will involve developing and optimizing complex SQL queries, working with structured and unstructured data in large-scale data warehouse environments, and leveraging Databricks for advanced data processing and analytics. Collaboration with data analysts, data scientists, and business stakeholders to gather and understand data requirements is key, along with ensuring data quality, integrity, and governance across platforms. Additionally, you will create clear documentation for data workflows, architecture, and processes, participate in code reviews, and promote best practices in data engineering. Key Responsibilities: - Design, build, and maintain data integration and ETL pipelines using SnapLogic - Develop and optimize complex SQL queries to support business analytics and reporting - Work with structured and unstructured data in large-scale data warehouse environments - Leverage Databricks for advanced data processing, transformation, and analytics - Collaborate with data analysts, data scientists, and business stakeholders to gather and understand data requirements - Ensure data quality, integrity, and governance across platforms - Create clear documentation for data workflows, architecture, and processes - Participate in code reviews and promote best practices in data engineering Qualifications Required: - 5+ years of experience with SnapLogic in enterprise-level data integration projects - 6+ years of experience with ETL pipeline development and data warehousing - Strong proficiency in SQL (performance tuning, complex joins, stored procedures, etc.) - 3+ years of hands-on experience with Databricks (Spark, Delta Lake, etc.) - Solid understanding of cloud data ecosystems and data modeling principles - Excellent problem-solving and communication skills Preferred Skills: - Experience with Python for scripting or data processing tasks - Familiarity with CI/CD practices - Knowledge of data governance, privacy, and compliance best practices Additional Details: PwC is committed to providing equal employment opportunities and creating an inclusive environment where individuals can bring their true selves to work.