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Tier‑1 brand, metro location, mid‑level generalist Big Data+DevOps skillset increases competition.
Big Data, AWS, Python, SQL and ETL skills are broadly transferable across industries.
Many mandatory cloud, big‑data and scripting skills but only 2+ years specified, so medium strictness.
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Develop, enhance, and test ETL pipelines and software components within an agile team focusing on Big Data and AWS technologies.
Handle DevOps responsibilities including CICD, code scanning, performance testing, and test coverage.
Transform existing ETL logic to AWS and Hadoop platforms and apply quality assurance best practices to data assets.
2+ years of applied software engineering experience with formal training or certification.
Strong experience with AWS services (Athena, Redshift, Glue, Aurora, RDS, S3, Lambda, EC2) and Big Data technologies (Hadoop, Spark, Kafka).
Proficiency in Python, SQL query writing, and UNIX shell scripting is mandatory.
Hands-on experience using enterprise-authorized AI-assisted software development tools and understanding responsible AI use.
Experienced in both Big Data ETL development and DevOps in cloud environments, specifically AWS and DBx platforms.
Practical knowledge integrating AI-assisted development tools and managing real-time streaming data.
Familiar with agile development teams, object-oriented programming, and strong analytical skills with relational database technologies.