Senior Data Engineer-Onsite(Multiple Roles)

We are seeking a skilled Data Engineer with strong expertise in Databricks, SQL, and modern data engineering practices. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines and supporting enterprise data platforms within a cloud environment., * Develop and maintain scalable data pipelines using Databricks.

• Write complex SQL queries, procedures, and optimizations.
• Design and implement data integration solutions.
• Collaborate with business and analytics teams to deliver data solutions.
• Monitor data quality, performance, and reliability.
• Support migration and modernization of data platforms., We are looking for an experienced Data Engineer with expertise in DBT and Snowflake to build and optimize modern cloud-based data platforms. The ideal candidate will have strong experience in data transformation, data modeling, and analytics engineering., * Design and develop scalable data models in Snowflake using DBT.
• Build, maintain, and optimize ELT pipelines.
• Create reusable DBT models, macros, and tests.
• Ensure data quality, governance, and performance.
• Partner with analytics, BI, and business teams to deliver data solutions.
• Troubleshoot and optimize Snowflake workloads.

• 5+ years of Data Engineering experience.
• Strong hands-on experience with Databricks.
• Advanced proficiency in SQL.
• Experience building and maintaining ETL/ELT pipelines.
• Strong knowledge of data warehousing concepts.
• Experience with Python or PySpark.
• Exposure to cloud platforms such as Azure, AWS, or Google Cloud Platform.
• Experience with data modeling and performance tuning.
• Familiarity with CI/CD and Agile methodologies., * Delta Lake experience.
• Azure Data Factory or similar ETL tools.
• Knowledge of data governance and security best practices., * 5+ years of Data Engineering experience.
• Strong hands-on experience with Snowflake.
• Expertise in DBT (Data Build Tool).
• Advanced SQL skills.
• Experience developing ELT/ETL frameworks.
• Strong understanding of dimensional modeling and data warehousing.
• Experience with Python for data processing and automation.
• Knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform).
• Experience with Git, CI/CD, and Agile environments., * Experience with Airflow or other orchestration tools.
• Knowledge of BI tools such as Power BI, Tableau, or Looker.
• Experience with data cataloging and governance tools., * Snowflake Certifications.
• DBT Cloud experience.
• Experience supporting enterprise-scale data platforms., Senior Data Engineer-Onsite(Multiple Roles)1Snowflake,SQL,Data Engineer,Databricks,DBTN/AC2CUnited States