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Job Location | Bangalore, Japan |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Banking / Financial Services |
Functional Area | General / Other Software |
EmploymentType | Full-time |
* Company ProfileMorgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firms employees serve clients worldwide including corporations, governments, institutions and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.Wealth Management TechnologyWealth Management Technology is responsible for the design, development, delivery, and support of the technical solutions behind the products and services used by the Morgan Stanley Wealth Management Business. Practice areas include: Analytics, Intelligence, & Data Technology (AIDT), Client Platforms, Core Technology Services (CTS), Financial Advisor Platforms, Global Banking Technology (GBT), Investment Solutions Technology (IST), Institutional Wealth and Corporate Solutions Technology (IWCST), Technology Delivery Management (TDM), User Experience (UX), and the CAO team.Job ProfileThe position will be responsible for the development of ETL Framework Components on EDW/Cloud/Big Data, providing user access to the data via reports, data extracts, utilizing analysis tools such as OLAP, and for coding reusable data framework components which will do Data ingestion , validation , transformation , orchestration and consumption. The role will require the candidate to possess a strong understanding of database warehousing, Data lake and Cloud data concepts. Responsibilities will also require in-depth knowledge of ETL concepts and hands-on experience in implementing data integrations in multiple data platforms (EDW , Data Lake , Cloud) using custom development, scripting language such as Unix Shell, data processing frameworks such as Spark, and ETL tools such as Informatica, Talend. Candidate must have strong programing language skills in Java/scala/python and SQL skills . To be successful, the role will require the individual to understand the banking technology landscape as well as be able to step into existing projects taking on a hands-on development role. * Design stable, scalable application data warehouse, Data Lake (Hadoop , Azure Cloud). * Develop Reusable generic framework components for Ingesting, validating , transforming , Aggregating , Consuming Batch files , Real time data feeds into Data Lakes using Java , Scala,Python Spark ,Kafka , Azure & Hadoop Tech stack * Identify potential improvements to the current design/processes. * Participate in multiple project discussions as a senior member of the team., * Skill Set* 3 - 6 years of relevant development experience in Python, Scala , Spark , Java. * Experience in building ETL applications (Talend, Data Bricks, Python-Spark, Scala-Spark or similar, Kafka) * Experience in work on Azure Cloud , Hadoop Data Lake * Experience with Unix/Linux programming (Shell and/or Perl). * Experience with DevOps processes and tools (e.g. Jenkins, TeamCity,ADO etc.). * Experience with working in an Agile squad/chapter setup. * Good communicationQualifications/Criterion* Experience in the Financial Industry. * Experience in Data , Reporting teams (BI , DWH ) * Knowledge and hands-on experience of MPP database systems (e.g. Teradata ,DB2 , Sybase). * Experience with Snowflake , Kafka will be considered an advantageMorgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents. * Company ProfileMorgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firms employees serve clients worldwide including corporations, governments, institutions and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.Wealth Management TechnologyWealth Management Technology is responsible for the design, development, delivery, and support of the technical solutions behind the products and services used by the Morgan Stanley Wealth Management Business. Practice areas include: Analytics, Intelligence, & Data Technology (AIDT), Client Platforms, Core Technology Services (CTS), Financial Advisor Platforms, Global Banking Technology (GBT), Investment Solutions Technology (IST), Institutional Wealth and Corporate Solutions Technology (IWCST), Technology Delivery Management (TDM), User Experience (UX), and the CAO team.Job ProfileThe position will be responsible for the development of ETL Framework Components on EDW/Cloud/Big Data, providing user access to the data via reports, data extracts, utilizing analysis tools such as OLAP, and for coding reusable data framework components which will do Data ingestion , validation , transformation , orchestration and consumption. The role will require the candidate to possess a strong understanding of database warehousing, Data lake and Cloud data concepts. Responsibilities will also require in-depth knowledge of ETL concepts and hands-on experience in implementing data integrations in multiple data platforms (EDW , Data Lake , Cloud) using custom development, scripting language such as Unix Shell, data processing frameworks such as Spark, and ETL tools such as Informatica, Talend. Candidate must have strong programing language skills in Java/scala/python and SQL skills . To be successful, the role will require the individual to understand the banking technology landscape as well as be able to step into existing projects taking on a hands-on development role. * Design stable, scalable application data warehouse, Data Lake (Hadoop , Azure Cloud). * Develop Reusable generic framework components for Ingesting, validating , transforming , Aggregating , Consuming Batch files , Real time data feeds into Data Lakes using Java , Scala,Python Spark ,Kafka , Azure & Hadoop Tech stack * Identify potential improvements to the current design/processes. * Participate in multiple project discussions as a senior member of the team., * Skill Set* 3 - 6 years of relevant development experience in Python, Scala , Spark , Java. * Experience in building ETL applications (Talend, Data Bricks, Python-Spark, Scala-Spark or similar, Kafka) * Experience in work on Azure Cloud , Hadoop Data Lake * Experience with Unix/Linux programming (Shell and/or Perl). * Experience with DevOps processes and tools (e.g. Jenkins, TeamCity,ADO etc.). * Experience with working in an Agile squad/chapter setup. * Good communicationQualifications/Criterion* Experience in the Financial Industry. * Experience in Data , Reporting teams (BI , DWH ) * Knowledge and hands-on experience of MPP database systems (e.g. Teradata ,DB2 , Sybase). * Experience with Snowflake , Kafka will be considered an advantageMorgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.
Keyskills :
sqljavadata warehousinginformaticapythonsource system analysisetl toolsdata feedsbatch filesdata processinguser experiencelanguage skills