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Popular mid-level Data Engineer role in metro Bangalore with broad skill demands increases applicant competition.
Core cloud-data engineering skills are highly transferable across industries.
Explicit 2+ years plus multiple mandatory platform skills (Airflow, Snowflake, Python, AWS) tightens screening.
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Build and maintain scalable data pipelines using Airflow to ingest, transform, and deliver data into Snowflake and Databricks.
Design and implement data models in Snowflake supporting analytics, reporting, and machine learning use cases optimizing for performance and reliability.
Develop and manage cloud infrastructure via Terraform on AWS; monitor pipeline health and implement data quality checks to ensure data accuracy and timeliness.
Minimum 2 years of data engineering experience with strong skills in Python and SQL.
Hands-on experience with Airflow for workflow orchestration and Snowflake for data warehouse and modeling.
Proficiency with AWS cloud services including S3, Lambda, EC2, and IAM.
Work Experience Required: Minimum 2 years in data engineering roles.
Experience working cross-functionally with analysts, data scientists, and business stakeholders to translate requirements into technical solutions.
Strong ownership of end-to-end data pipelines with proactive troubleshooting and optimization mindset.
Familiarity with Infrastructure as Code (Terraform), Databricks, and CI/CD practices for data engineering workloads.