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Tier-1 brand, mid-level generalist big-data role in metro with common skills drives high applicant density.
Requires banking domain experience and specific big-data production support skills, reducing cross-industry transferability.
Explicit 3-6 years plus mandatory Python, Big Data, AutoSys and banking production support increases shortlisting strictness.
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Develop and maintain automation solutions using Python and Shell scripting for batch processing in enterprise-scale data platforms.
Support, monitor, and troubleshoot production batch environments with tools like AutoSys and ensure operational stability.
Perform data processing and analysis using Big Data technologies such as Hive, Hadoop, and Pyspark along with SQL-based validations.
3-6 years of hands-on experience in Python scripting and automation development.
Strong Unix/Linux and Shell scripting skills with extensive experience in AutoSys scheduling.
Proficient in SQL and Oracle databases; hands-on exposure to Hive, Hadoop, and Pyspark mandatory.
Production support experience in Banking/Financial Services domain required.
Experienced in large-scale batch processing and automation within Banking/Financial Services technology environments.
Comfortable managing incident, change, and problem management workflows using tools like JIRA.
Able to collaborate with cross-functional teams including business, development, and infrastructure to maintain application stability.