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Greetings from Doodleblue Innovations! We are hiring for a Lead Data Engineer PySpark & Databricks Work Mode: Remote Experience: 8-10 Years We're looking for an experienced Lead Data Engineer with strong hands-on expertise in PySpark on the Databricks platform to join our growing team. If you're passionate about building scalable data pipelines, optimizing Spark workloads, and leading high-performing engineering teams, we'd love to connect! Key Skills: Strong hands-on experience with PySpark on Databricks (must-have) Python and SQL programming expertise Expertise in building ETL/ELT pipelines and Lakehouse architecture (Bronze/Silver/Gold) Experience with Delta Lake, Spark SQL, and Spark performance tuning Azure Data Platform (ADLS Gen2, Data Factory, Synapse) preferred CI/CD using Azure DevOps/GitHub, Databricks Workflows, Airflow Experience leading or mentoring Data Engineering teams Preferred: Databricks or Azure Certifications Unity Catalog, Delta Live Tables, MLflow Insurance or Financial Services domain experience Interested candidates can share their resumes to supriyar@doodleblue.com Job Types: Full-time, Permanent Compensation: From 1,000,000.00 per year Application Question(s): How many years of experience as a Lead Data Engineer - PySpark & Databricks How many years of experience in PySpark & Databricks Experience: Pyspark & Databricks: 4 years (Required) Data Engineering Lead: 8 years (Required) Work Location: Remote Greetings from Doodleblue Innovations! We are hiring for a Lead Data Engineer PySpark & Databricks Work Mode: Remote Experience: 8-10 Years We're looking for an experienced Lead Data Engineer with strong hands-on expertise in PySpark on the Databricks platform to join our growing team. If you're passionate about building scalable data pipelines, optimizing Spark workloads, and leading high-performing engineering teams, we'd love to connect! Key Skills: Strong hands-on experience with PySpark on Databricks (must-have) Python and SQL programming expertise Expertise in building ETL/ELT pipelines and Lakehouse architecture (Bronze/Silver/Gold) Experience with Delta Lake, Spark SQL, and Spark performance tuning Azure Data Platform (ADLS Gen2, Data Factory, Synapse) preferred CI/CD using Azure DevOps/GitHub, Databricks Workflows, Airflow Experience leading or mentoring Data Engineering teams Preferred: Databricks or Azure Certifications Unity Catalog, Delta Live Tables, MLflow Insurance or Financial Services domain experience Interested candidates can share their resumes to supriyar@doodleblue.com Job Types: Full-time, Permanent Compensation: From 1,000,000.00 per year Application Question(s): How many years of experience as a Lead Data Engineer - PySpark & Databricks How many years of experience in PySpark & Databricks Experience: Pyspark & Databricks: 4 years (Required) Data Engineering Lead: 8 years (Required) Work Location: Remote
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