Salesforce Senior Data Engineer – R01561387

Salesforce Senior Data Engineer - R01561387

Senior Data Engineer

Primary Skills

• DataStream, ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Time Travel and Fail Safe, Snowpipe, SnowSQL, Modern Data Platform Fundamentals, PLSQL, T-SQL, Stored Procedures

Specialization

• Snowflake Engineering: Data Engineer

Job requirements

• Job Title: Senior Data Engineer – DBT & Python Experience: 5+ Years Job Summary We are seeking a highly skilled Senior Data Engineer with strong expertise in DBT, Python, and SQL to design, develop, and optimize scalable data pipelines and ETL processes. The ideal candidate should have hands-on experience in building robust data transformation workflows, working with Snowflake, and leveraging cloud platforms for analytics and reporting solutions. Key Responsibilities
• Design, develop, and maintain DBT models, transformations, and SQL code for analytics and reporting.
• Build scalable and efficient ETL pipelines using DBT and other relevant tools.
• Write complex and high-performance SQL queries to process and analyze large datasets.
• Develop clean, scalable, and efficient code using Python, with strong hands-on experience in Pandas and NumPy.
• Optimize data pipelines for performance, scalability, and cost efficiency.
• Troubleshoot and resolve ETL and data pipeline performance issues.
• Develop scripts using Unix Shell scripting, Python, and other scripting tools for data extraction, transformation, and loading.
• Write and optimize Snowflake SQL queries and support Snowflake implementations.
• Work with orchestration tools such as Airflow or similar workflow management platforms.
• Integrate user-facing elements into applications where required.
• Collaborate with internal stakeholders to understand business requirements and translate them into technical solutions.
• Ensure data quality, validation, and testing within DBT workflows. Required Skills & Qualifications
• 6+ years of overall IT experience.
• Proven hands-on experience with DBT (Data Build Tool) including model development, transformations, and testing.
• Strong programming expertise in Python (mandatory).
• Advanced proficiency in SQL, including writing complex queries on large datasets.
• Hands-on experience in designing and maintaining ETL pipelines.
• Experience in Unix Shell scripting.
• Strong understanding of data warehousing concepts and best practices. Preferred Qualifications
• Experience with Snowflake implementation and optimization.
• Knowledge of Salesforce CDP.
• Experience with Airflow or other data orchestration tools.
• Exposure to cloud platforms such as AWS, GCP, or Azure.
• Experience working with cloud storage solutions like S3, GCS, or Azure Blob Storage.