{"id":2767163,"url":"https://alion.io/job/hdfc-bank-tech-digital-sr-database-engineer","title":"Tech & Digital-Sr Database Engineer","company":{"id":1111,"name":"HDFC Bank","domain":"hdfc.bank.in","url":"https://alion.io/company/hdfc-bank","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"RippleHire","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, 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Bangalore\nJob Function: Software Engineering\nRole Type: IC Role\nNo of directreportees: Nil\nTravel Required: No\nJob Band Range: E1 to E3\nJD Created date: 05th March 2024\nVersion No: 1.0\nÂ\nJob Purpose:\nConsult, design, and deliver everything related to databases and data - acquire, maintain, transform, migrate, analyze.\nDesign, code, or configure, test, debug, deploy, document, and maintain large and/or complex programs, using a variety of software development toolkits, programming languages (PL/SQL specific), testing/verifying applications, while adhering to specific development best practices and quality standards.\nÂ\nJob Responsibilities:\nArchitect technical solutions to obtain, process, store, and provide insights based on processed data.\nDefine and implement best practices in data modelingwithin a complex, distributed financial application with strict scalability and availability requirements.\nInstall and maintain databases, related tools, and required technologies.\nDevelop PL/SQL packages, procedures, and functions according to business requirements in UNIX and Windows environments.\nDevelop other artifactsfor data extraction, transformation, and loading.\nTranslate user stories into technical solutions that perform at large scale.\nAdopt best practices to implement reliability measures: HA, fault tolerance.\nAdopt best practices to implement scalability measures: load balancing, partitioning, sharding, caching.\nAdopt best practices to implement consistency measures: timeouts, retries, pessimistic locking.\nEvaluate, benchmark, and improve the scalability, robustness, efficiency, and performance of RDBMS.\nTune complex artifactsfor OLTP as well as batch processing.\nWrite reconciliation and reporting programs.\nÂ\nEducational Qualifications:\nBachelor's degree in Computer Science, IT, or a related area.\nÂ\nKey Skills:\nDatabase – RDBMS, Distributed, Data, Performance Engineering, HA, Integration.\nAdvanced SQL knowledge and experience working with relational and NoSQL databases.\nExpert in design, development, and implementation of applications using popular database technologies: Oracle, PostgreSQL, MongoDB, Cassandra, etc.\nExperience in working with cloud services (with any dominant provider) is preferred.\nÂ\nExperience Required:\n2to 7 years of experience in design and development, particularly in databases (relational and otherwise).\n3+ years of experience in data engineering.\nÂ\nMajor Stakeholders:\nInternal: Engineering Leads, Product Owner, Business domain experts, IT audit, BTG Unit heads.\nExternal: Partners, prospective 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