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Mid-level Chennai Data Engineer role with common title and broad cloud/BI requirements, high applicant competition.
Core cloud ETL and BI skills transfer across industries, though preferred domain expertise increases fit sensitivity.
Explicit 3+ years and mandatory AWS/Azure, ETL, BI stack increases screening strictness.
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Design, develop, and deploy business intelligence, reporting, and data warehouse solutions using AWS and Azure cloud platforms.
Own the creation and maintenance of metrics, reports, analyses, and dashboards using tools such as Amazon Quick Sight and Microsoft Azure BI.
Build and maintain scalable data pipelines and ETL processes with Azure Data Factory, AWS Glue, Amazon Redshift, and S3 across cloud environments.
At least 3 years of experience in business intelligence, data engineering, and reporting.
Bachelor’s degree in Information Technology, Computer Science, or related discipline.
Proven experience with database scripts, stored procedures, triggers, AWS Glue, Lambda, Step Function, Athena, and BI tools including Power BI, Tableau, SSRS, SSAS.
Strong SQL skills and knowledge of data modeling, ETL processes, cloud services (AWS and Azure).
Experienced in cross-cloud (AWS and Azure) data engineering and analytics solution design and deployment.
Capable of evaluating and improving cloud analytics platforms and presenting solutions to management.
Skilled in the technical development and testing of cloud data warehouse components and enterprise data warehouse modelling.