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Tier-1 brand and Bengaluru metro boost competition, though specialized data-architecture skills limit applicants.
Role requires deep data architecture and AWS expertise plus domain-specific serviceability/regulatory knowledge, making cross-industry transfers limited.
Explicit 8+ years and mandatory AWS, Glue, data modeling, Python and SQL raise shortlisting strictness.
Design and implement end-to-end cloud-native data architectures on AWS to support analytics, monitoring, and predictive insights.
Develop and optimize scalable data pipelines using AWS Glue, Lambda, Athena, and other services ensuring data ingestion, cleansing, transformation, and storage workflows.
Maintain data security, compliance, governance, and implement monitoring and alerting mechanisms to ensure pipeline health and data quality.
Bachelor's or Master's Degree in Data Analytics, Mathematics, Computer Science, or equivalent.
Minimum 8+ years of experience in Software Development, Design, Architecture, Testing or Quality Assurance.
Strong hands-on experience with AWS services including S3, Lambda, Athena, API Gateway, CloudFront, ECS, and Glue.
Proficiency in Python and SQL; knowledge of data modeling, partitioning strategies, and performance tuning in large datasets.
Experienced in designing cloud-native data architectures specifically on AWS with focus on serviceability analytics and predictive operations.
Skilled at collaborating across scrum teams and stakeholders, capable of guiding architecture design aligned to business and regulatory standards.
Familiarity with infrastructure automation tools like CloudFormation and understanding of serviceability domain use cases such as diagnostics and telemetry.