Location- Hyderabad

Qualification- Bachelor's degree in Computer Science, Information Technology, or related field

Job description:

Strong proficiency in Databricks platform: Delta Lake, Spark SQL, PySpark, Unity Catalog, MLflow, and Databricks Workflows;
• Deep expertise in data modeling (dimensional, data vault, medallion/lakehouse architectures);
• Experience building ETL/ELT pipelines using Databricks, Apache Spark, or comparable data engineering tools;
• Proficiency in SQL and Python for data transformation, pipeline orchestration, and automation;
• Understanding of data governance principles: data cataloging, lineage, quality monitoring, access control, and metadata management;
• Familiarity with cloud data platforms (Azure Data Lake Storage, Azure Synapse, AWS S3/Glue, or similar);
• Understanding of AI/ML data requirements: feature engineering, RAG data preparation, embedding storage, and LLM training/fine‑tuning data pipelines;
• Experience integrating data from enterprise systems: ServiceNow, Workday, Active Directory, CMDB, Jira;
• Knowledge of data privacy and compliance standards (GDPR, LGPD) and security best practices for data platforms;
• Comfortable with CI/CD pipelines for data (Databricks Asset Bundles, Terraform, GitHub Actions, Azure DevOps);
• Strong skills in documentation, data storytelling, and cross‑functional communication