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Mid-level Bangalore Data Engineer role with common skills and hybrid MNC brand yields high competition.
Core data engineering skills (Python, SQL, Airflow, cloud) are highly transferable across industries.
Explicit 3–4 years plus mandatory Airflow, Python, SQL, and cloud experience raises shortlisting strictness.
Design, develop, and maintain scalable, secure data pipelines and platforms supporting analytics, reporting, and machine learning across the Argus organization.
Ensure data availability, accuracy, and quality while enabling faster data processing and insight delivery using cloud technologies (AWS, GCP).
Optimize and automate data workflows using tools like Apache Airflow, and contribute to cloud modernization and ongoing platform improvements.
3-4 years of hands-on Data Engineering experience with enterprise-scale data pipelines.
Strong proficiency in Python and advanced SQL skills for data transformation and optimization.
Experience with Apache Airflow for data workflow orchestration and multi-cloud environments (AWS and GCP).
Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related technical field or equivalent practical experience.
Experienced in building and supporting robust ETL/ELT processes and data warehousing solutions within cloud environments.
Comfortable collaborating cross-functionally with data scientists, analysts, and engineering teams in Agile development setups.
Skilled in managing operational reliability of data workflows and driven by continuous improvement and automation initiatives.