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Mid-level, metro, popular data role with broad cloud/Databricks requirements increases applicant competition.
Core data engineering skills like SQL, Python, ETL and Databricks are broadly transferable across industries.
Explicit 2+ years requirement plus mandatory Databricks, Azure, SQL, and Python skills create moderate filtering.
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Design, develop, and maintain efficient cloud-based data pipelines and workflows using Azure Data Factory, Apache Airflow, and Databricks.
Implement data quality checks and optimize SQL objects for performance ensuring accuracy and consistency across data stages.
Collaborate with stakeholders to support reporting and visualization using Power BI; maintain documentation and adhere to data engineering best practices.
Minimum 2 years of experience in a data engineering role.
Bachelor's degree in Computer Science, Information Technology, or related field.
Proficient in SQL and Python; experience with Azure SQL DB, Azure Synapse, AWS Redshift, MySQL, Databricks, and cloud ETL tools (Azure Data Factory, Apache Airflow).
Must be willing to work from Hyderabad office 2-3 days a week and able to work overlapping US business hours.
Experienced in cloud data platforms and workflow orchestration with hands-on skills in Databricks notebooks, clusters, and Delta Lake.
Able to translate complex business requirements into scalable data models and pipelines with strong problem-solving and structured thinking.
Comfortable with collaboration across global teams, documentation, and ensuring high-quality data engineering deliverables.