Job Title: Senior Data Engineer (Databricks & Airflow) Location: Remote Experience Level: 6–7 Years Employment Type: Full-time Required Qualifications: 6–7 years of experience in data engineering, with at least 3+ years working with Apache Airflow and Databricks in production environments. Strong proficiency in Python and SQL . Experience with Spark (PySpark/Scala), preferably in a Databricks environment. Experience building and managing data pipelines on AWS , Azure , or GCP . Solid understanding of data lake , data warehouse , and data mesh architectures. Familiarity with modern data formats like Parquet , Avro , Delta Lake , etc. Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus. Strong understanding of data quality, observability, and governance best practices. Show more Show less

Job Title: Azure Databricks Engineer Experience: 4+ Years Required Skills: 4+ years of experience in Data Engineering . Strong hands-on experience with Azure Databricks and PySpark . Good understanding of Azure Data Factory (ADF) , Azure Data Lake (ADLS) , and Azure Synapse . Strong SQL skills and experience with large-scale data processing. Experience with version control systems (Git), CI/CD pipelines, and Agile methodology. Knowledge of Delta Lake, Lakehouse architecture, and distributed computing concepts. Preferred Skills: Experience with Airflow , Power BI , or machine learning pipelines . Familiarity with DevOps tools for automation and deployment in Azure. Azure certifications (e.g., DP-203) are a plus. Show more Show less