About the CompanyClient is a global investment firm that seeks to provide stable funding and capital markets services to companies seeking innovative and bespoke structured credit and asset-backed finance solutions. Their tenured experts work with clients to determine the best approach to optimize their capital and achieve their goals, across a broad range of capabilities. Clients' integrated platform encompasses a holistic suite of capabilities, including asset/portfolio advisory solutions, warehouse/acquisition financing solutions, whole loan purchase/sale, and securitization/distribution.About the RoleClient is seeking a Senior data developer to help build out a data ecosystem that enables us to scale our business. You will design and build a foundation to strengthen and scale the existing data model. You will be responsible for collaborating with cross-functional teams to analyze and integrate diverse data sources, ensuring data quality and consistency. You will leverage your expertise in database management, data processing, and analytics to develop and optimize data pipelines, support advanced data modeling, and provide actionable insights through sophisticated reporting tools.ResponsibilitiesAnalyze complex ecosystem of legacy systemsHelp Architect/Enhance and scale a modern data platform that consumes data from multiple internal sources and vendorsEnhance the data model leveraging industry best practicesIdentify, design and implement internal process improvements that include automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.Build and maintain scalable ETL pipelines to efficiently process large volumes of data from multiple internal sources and vendorsWork with engineering teams to ensure robust instrumentation across multiple systemsPartner with business stakeholders to understand and deliver business requirementsImplement monitoring systems to ensure data qualityWork with business and technology stakeholders to assist with data-related technical issues and support their data infrastructure needs.Participate in company-wide Data GovernanceCreate data tools for analytics and data scientist team members that assist them in building and optimizing the product. QualificationsBachelor’s degree in computer science or related field or equivalent work experience10+ years of cloud data warehousing experience (Snowflake or Redshift or Databricks)Experience working with cloud technology (preferably Azure), data models, API design, API developmentAdvanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.Technical expertise with data models, data mining, and segmentation techniquesPrevious experience as a data engineer or in a similar roleExperience working with technologies like: Python, JSON, .NETExperience building and optimizing data pipelines and data sets.Agile development experienceExperience supporting and working with cross-functional teams in a dynamic environment.Strong analytic skills related to working with unstructured datasets.Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores is a plusExperience using common BI tools including Tableau, Alteryx, Microsoft Power BI etc is a plus Required SkillsAdvanced SQLSnowflake ExpertisePython Data Engineering SkillsFinance and Treasury SystemsETL Pipeline Design & OptimizationAzure Cloud Data ArchitectureOracle ERP experiencePreferred SkillsExperience using common BI tools including Tableau, Alteryx, Microsoft Power BI etc is a plusLocation: Goregaon, MumbaiShift: US shifts (IST 2 pm - 11 pm)