Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 bank brand and metro location with broad skillset produce moderate competition.
Requires specialized Big Data and financial domain experience, limiting cross-industry transferability.
Explicit 8-10 years plus mandatory Big Data, Java, ETL, and DevOps skills indicate high filtering.
Design, develop, and maintain ETL packages, SQL objects, and application components primarily for Liquidity Management within a cross-functional technology team.
Develop and improve CI/CD pipelines on OpenShift and enhance code quality using tools like Sonar.
Serve as a subject matter expert (SME) for senior stakeholders, supporting data warehousing initiatives and dashboard/report development using various reporting tools.
8-10 years of proven experience as a Java Big Data Developer with strong skills in Java, Scala, Python, SQL, and Unix/Linux shell scripting.
Experience with Apache Hadoop, Spark, Spark SQL, Hive, Impala, Yarn, Talend, and reporting tools such as QlikView, Tableau, or SSRS.
Familiarity with DevOps tools including Jenkins, Harness, GitHub, OpenShift, and batch control tools like Autosys or Control-M.
Bachelor’s degree or equivalent experience; work location based in India.
Experienced in large-scale financial services or investment banking technology environments, specifically with liquidity management systems.
Operates effectively within Agile and SDLC frameworks, capable of multitasking and handling pressure with minimal supervision.
Strong problem-solving and analytical skills with a focus on data trends and quality assurance, coupled with the ability to manage stakeholder communications as a SME.