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Global brand, remote/hybrid, mid-level generalist Data Engineer in Bangalore increases candidate competition.
Core data engineering skills (SQL, Python, dbt, Snowflake) are highly transferable across industries.
Explicit 4+ years plus mandatory dbt, Airflow, Snowflake, ADF, SQL/Python increases shortlisting strictness.
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Design, build, test, and maintain scalable data pipelines and management systems supporting data-driven decisions.
Develop and optimize data pipelines and data warehouse transformations using tools such as dbt, Airflow, and Azure Data Factory.
Ensure data compliance with security standards and collaborate with cross-functional teams to deliver advanced data analytics and personalization solutions globally.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
4+ years of experience in data engineering or data-intensive development roles.
Hands-on experience with SQL, Python, CI/CD processes, Git, Azure Data Factory, Snowflake, Docker, Apache Airflow, and dbt.
Fluency in business English and willingness to work in a hybrid model based in Bengaluru, Karnataka, India.
Experienced data engineer with strong expertise in modern data orchestration, transformation tools, and cloud data platforms suitable for enterprise environments.
Capable of translating complex data requirements into scalable architecture while ensuring data accessibility, reliability, and compliance.
Comfortable working in a collaborative, cross-functional setting focused on global data solutions for analytics, marketing automation, and personalization.