Back
Popular early-mid data engineer role in Hyderabad with broad cloud and Databricks requirements increases competition.
Data engineering skills (SQL, Python, Databricks, ETL) are highly transferable across industries.
Explicit 2+ years requirement plus mandatory Databricks, Azure, SQL, and Python skills increases shortlist rigidity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain efficient data pipelines and workflows using Azure Data Factory, Apache Airflow, Databricks, and cloud ETL/ELT tools.
Create and optimize SQL objects and implement data quality checks to ensure accurate data processing and reporting.
Collaborate with stakeholders to translate reporting requirements into data models and support Power BI dashboards; maintain documentation and ensure compliance with data engineering best practices.
Minimum 2 years of experience in a data engineering role.
Bachelor's degree in Computer Science, Information Technology, or a related field.
Proficiency in SQL and Python with experience in data platforms such as Azure SQL DB, Azure Synapse, AWS Redshift, Databricks, and Azure Data Factory or Apache Airflow.
Ability to work from Hyderabad office 2-3 times a week; flexibility to overlap with U.S. business hours for global collaboration.
Experienced in cloud-based data engineering with hands-on expertise in Databricks notebooks, clusters, Delta Lake, and performance optimization for scalable data processing.
Comfortable converting ambiguous business requirements into well-structured data models and data quality validation processes.
Skilled in collaborating across global teams and supporting data-driven decision-making through effective communication and documentation.