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Metro location, popular mid-level data role, and broad cloud/Databricks skillset increase applicant competition.
Core data engineering skills like SQL, Python, ETL, and cloud are easily transferable across industries.
Explicit 2+ years plus mandatory Databricks, Azure, SQL, and Python increases shortlist rigidity.
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Design, develop, and maintain data pipelines using Azure Data Factory, Apache Airflow, and Databricks to support reporting and data orchestration.
Create and optimize SQL objects and implement data quality checks to ensure pipeline accuracy and performance.
Collaborate with stakeholders to understand requirements and support interactive dashboards via Power BI.
Minimum 2 years of experience in a data engineering role.
Bachelor's degree in Computer Science, IT, or related field.
Proficiency in SQL, Python, and experience with cloud data platforms including Azure SQL DB, Azure Synapse, AWS Redshift, MySQL, Databricks.
Ability to work onsite 2-3 days per week at Hyderabad office.
Experienced with cloud ETL/ELT tools and Databricks notebooks, clusters, and Delta Lake optimization.
Capable of translating complex business requirements into data models and pipelines with structured problem-solving approach.
Flexible to work overlapping U.S. business hours to collaborate with global teams effectively.