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Mid-level, popular data role in Hyderabad with broad cloud/stack requirements increases competition.
Data engineering skills are highly transferable across industries despite some platform preferences.
Explicit 4-9 years plus many mandatory cloud, data, and stack skills implies high selectivity.
Lead migration and modernization of data platforms to Google Cloud and other cloud services (AWS/GCP).
Architect, develop, and optimize scalable data pipelines and cloud-based data infrastructure supporting product launches and high data quality.
Manage data security, governance, and compliance; develop automation and monitoring for pipeline performance; mentor data engineering team.
4-9 years of experience in Data Engineering and Application Development.
Graduate degree in Computer Science or related field.
Proficient in Python, Java, Spark, SQL, Scala, Snowflake, Big Query, and cloud technologies (AWS/GCP).
Experienced in cloud platform migration, data pipeline development, CI/CD in DevOps, and Agile environment.
Experienced in large-scale cloud data platform engineering with focus on cloud transformation and modernization.
Skilled in developing both batch and real-time data processing solutions integrating diverse data sources.
Familiar with data governance, compliance, automation frameworks, and infrastructure-as-code tools like Terraform.