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Strong global brand, mid-level generalist data role in Bengaluru with broad tech stack increases candidate competition.
Core SQL, Python, Airflow and Snowflake skills are highly transferable across industries.
Explicit 4+ years plus mandatory Snowflake, Airflow, dbt, Azure and CI/CD increases shortlisting strictness.
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Design, build, and maintain scalable data pipelines and management systems to support data-driven decision-making and advanced analytics.
Collaborate with data architects, IT teams, and cross-functional stakeholders to develop robust data solutions, ensuring compliance with internal security and regulatory standards.
Monitor pipeline performance and stability, integrate new data technologies, and provide data-access tools and visualization for non-technical users.
Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
Minimum 4 years of experience in data engineering or data-intensive development roles.
Proficiency with SQL, Python, CI/CD processes, Git, and hands-on experience with Azure Data Factory, Snowflake, Docker, Apache Airflow, and dbt.
Strong knowledge of data modeling, ETL processes, data integration, and understanding of data science concepts, ML frameworks, and big data technologies (Hadoop, Spark).
Experienced in managing end-to-end data engineering projects with a focus on scalable, secure, and compliant data pipelines.
Comfortable working in hybrid settings and collaborating with cross-functional global teams including data architects and business intelligence units.
Proficient with modern data orchestration tools and cloud-based data warehousing, capable of optimizing performance and delivering actionable data solutions aligned with business needs.