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Senior Pune-metro role with common AWS/Spark skills and broad requirements yields moderate competition.
Requires deep data engineering and AWS big-data expertise, limiting cross-industry transferability.
Mandatory 9+ years and specific AWS, Spark, and data-warehousing requirements enforce strict shortlisting.
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Design, implement, and support analytical data infrastructure providing large-scale ad-hoc data access and computing power.
Develop and maintain real-time data pipelines using AWS technologies (Glue, Redshift, Kinesis, EMR, Athena).
Collaborate with tech teams to implement advanced analytics algorithms and improve reporting/analysis automation.
9+ years industry experience in software development, data engineering, business intelligence, or data science with handling large datasets.
Degree/Diploma in computer science, engineering, mathematics, or related technical field.
Proficient with AWS big data technologies (Redshift, S3, EMR, Spark, EKS, Glue, Kafka).
Strong skills in data modeling, ETL development, data warehousing, Spark/PySpark, SQL, and business intelligence tools.
Experienced in building and operating highly available distributed data extraction and processing systems.
Familiar with software engineering best practices across development lifecycle including agile, code reviews, CI/CD.
Skilled in advanced analytics integration and automation for large data environments leveraging AWS ecosystem.