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Tier-1 employer plus an early-mid generalist data role with common skills creates moderate competition.
Data engineering skills are broadly transferable across industries.
Explicit 2+ years requirement with common tech stack yields moderate shortlisting filters.
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Responsible for software development activities including design, coding, testing, debugging, and documentation for low to moderately complex projects.
Participate in technology domain initiatives such as installation, upgrades, and deployment efforts, ensuring service quality and availability improvements.
Analyze technical challenges, present recommendations, and escalate issues as needed to meet service level agreements, while considering security and compliance requirements.
Minimum 2 years of software engineering experience or equivalent demonstrated through work experience, training, military experience, or education.
Technical skills including SQL, Databases, Python/Unix Scripting, and API knowledge are required.
Engagement in ETL pipeline building and data storage with exposure to Cloud technologies, preferably Google Cloud Platform (GCP).
Education: B.E/B.Tech or M.E/M.Tech in Computer Science Engineering (CSE), Electronics and Communication Engineering (ECE), or equivalent preferred.
Experience working on low to moderately complex technology projects involving ETL pipelines and cloud technologies like GCP, with ability to independently handle technical challenges.
Comfortable working in collaborative team environments with some independent judgment and problem-solving capacity.
Familiarity with compliance and risk frameworks applicable to technology implementations and deployments.