Source description
About the role
We're Hiring: Data Engineer (Snowflake | Databricks | Azure DevOps) Experience: 6 to 9 Years Location: Hyderabad, India (Hybrid) Work Mode: Hybrid 3 days/week from the office We're looking for an experienced Data Engineer with 68 years of experience to join our growing team. If you're passionate about building scalable data pipelines and working with modern cloud data platforms, we'd love to hear from you! Key Skills & Responsibilities: Strong experience with Snowflake and advanced SQL. Hands-on experience building and maintaining ETL/ELT pipelines using Databricks, PySpark, and Pandas. Experience extracting data from APIs, databases, and flat files into Snowflake. Expertise in Snowpark Python for data transformations. Knowledge of incremental loading, watermarking, schema evolution, and error handling. Experience implementing data governance using RBAC, masking policies, and row-level security. Collaborate with Data Analysts, Data Scientists, and BI teams to deliver business-driven data solutions. Experience with CI/CD for data pipelines using Azure DevOps or GitHub Actions. Familiarity with Agile/Scrum development methodologies. If you're interested or know someone who would be a great fit, please send your updated resume or tag them in the comments. We're Hiring: Data Engineer (Snowflake | Databricks | Azure DevOps) Experience: 6 to 9 Years Location: Hyderabad, India (Hybrid) Work Mode: Hybrid 3 days/week from the office We're looking for an experienced Data Engineer with 68 years of experience to join our growing team. If you're passionate about building scalable data pipelines and working with modern cloud data platforms, we'd love to hear from you! Key Skills & Responsibilities: Strong experience with Snowflake and advanced SQL. Hands-on experience building and maintaining ETL/ELT pipelines using Databricks, PySpark, and Pandas. Experience extracting data from APIs, databases, and flat files into Snowflake. Expertise in Snowpark Python for data transformations. Knowledge of incremental loading, watermarking, schema evolution, and error handling. Experience implementing data governance using RBAC, masking policies, and row-level security. Collaborate with Data Analysts, Data Scientists, and BI teams to deliver business-driven data solutions. Experience with CI/CD for data pipelines using Azure DevOps or GitHub Actions. Familiarity with Agile/Scrum development methodologies. If you're interested or know someone who would be a great fit, please send your updated resume or tag them in the comments.
More at Ledelsea