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Mid-level Bangalore data engineer with common Snowflake/Python skillset attracts many qualified applicants.
Snowflake and Python data engineering skills are broadly transferable, though preferred domain experience raises sensitivity.
Explicit 4-7 years requirement plus mandatory Snowflake, Python, SQL and cloud skills increases shortlisting strictness.
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Design, develop, and optimize large-scale data pipelines and transformation workflows on Snowflake and cloud platforms.
Build and maintain scalable, efficient, and secure data models and databases to support analytics and reporting.
Automate deployment, testing, and infrastructure provisioning using CI/CD and Infrastructure as Code tools.
4 to 7 years of experience in data engineering focusing on Snowflake and Python-based data solutions.
Strong hands-on expertise with Snowflake, Python, SQL, and PL/SQL including performance tuning and data modeling.
Bachelor's or Master's degree in Computer Science, Data Engineering, IT, or related field.
Experience with cloud platforms such as AWS, Azure, or GCP and familiarity with CI/CD pipelines, Git, and automation tools.
Demonstrated ability to deliver scalable, secure, and efficient enterprise data pipelines in cloud environments, particularly using Snowflake and Python.
Experience working closely with cross-functional teams to translate business data needs into technical solutions, preferably in agile enterprise settings.
Proven track record in automating data workflows and infrastructure deployment, leveraging tools like Terraform, Airflow, Docker, and CI/CD methodologies.