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VP Big Data Lead

Bangalore, India | J.P. Morgan

  • Industry:
    Financial Services
  • Position Type:
    Full-Time
  • Functions:
    IT / Information Technology
  • Experience:
    12-15 years
Job Description:
136 people have viewed this job

As a member of our Software Engineering Group you will dive head-first into creating innovative solutions that advance businesses and careers.

You’ll join an inspiring and curious team of technologists dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

You’ll be tasked with keeping the team and other key stakeholders up to speed on the progress of what’s being developed.

You'll lead/mentor team in terms of providing architecture solutions, best practices, defining standards and innovative solutions.

You'll lead dev ops efforts in terms of CICD, Scanning, Code, Performance testing and Test coverate

you'll Identify, analyze, and interpret trends or patterns in complex data sets

you'll lead public cloud transformations

Coming in with an understanding of the importance of end-to-end software development-such as Agile frameworks-is key.

And best of all, you’ll be working with and sharing ideas, information and innovation with our global team of technologists from all over the world.

Qualifications:

This role requires a wide variety of strengths and capabilities, including:

• Bachelor's degree in a technical or quantitative field with preferred focus on Information Systems with 12 to 15 years of total experience.

• Minimum 5+ years Development and implementations experience with Big Data solutions especially leveraging cloudera hadoop distribution 

 (Hadoop and Spark Architecture, Performance tuning, Spark SQL, HIVE, SQOOP, KAFKA, Impala, HBASE, Entitlements etc., )

• Proficiency in Java, Spark & SQL is a must

• Experience in spart SQL & RDD tuning is a must

• Experience in big data cloud implementation (AWS) is a huge plus

• Experience in implementing complex ETL transformations in Hadoop platform is a plus

• Experience with Python is a plus

• Experience performing data analytics on Hadoop-based platforms is a plus

• Experience in implementing distributed and scalable algorithms (Hadoop, Spark) is a plus

• Experience in Data science is a plus

• Advanced knowledge of application, data and infrastructure architecture disciplines

• Understanding of architecture and design across all systems  

• Working proficiency in developmental toolsets 

• Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals

• Experience performing data analytics on Hadoop-based platforms 

• Ability to manage and coach a Big Data Agile team through design, development, testing, implementation, and support

• Development and implementation experience with relational databases (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc. 

• Understanding of software skills such as business analysis, development, maintenance and software improvement 

• Excellent interpersonal skills necessary to work effectively with colleagues at various levels of the organization and across multiple locations. 

• Financial Services and Commercial banking experience is a plus.

• Demonstrated independent problem solving skills and ability to develop solutions to complex analytical/data-driven problems. 

• Must be able to communicate complex issues in a crisp and concise fashion to multiple levels of management.

Qualifications:

This role requires a wide variety of strengths and capabilities, including:

• Bachelor's degree in a technical or quantitative field with preferred focus on Information Systems with 12 to 15 years of total experience.

• Minimum 5+ years Development and implementations experience with Big Data solutions especially leveraging cloudera hadoop distribution 

 (Hadoop and Spark Architecture, Performance tuning, Spark SQL, HIVE, SQOOP, KAFKA, Impala, HBASE, Entitlements etc., )

• Proficiency in Java, Spark & SQL is a must

• Experience in spart SQL & RDD tuning is a must

• Experience in big data cloud implementation (AWS) is a huge plus

• Experience in implementing complex ETL transformations in Hadoop platform is a plus

• Experience with Python is a plus

• Experience performing data analytics on Hadoop-based platforms is a plus

• Experience in implementing distributed and scalable algorithms (Hadoop, Spark) is a plus

• Experience in Data science is a plus

• Advanced knowledge of application, data and infrastructure architecture disciplines

• Understanding of architecture and design across all systems  

• Working proficiency in developmental toolsets 

• Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals

• Experience performing data analytics on Hadoop-based platforms 

• Ability to manage and coach a Big Data Agile team through design, development, testing, implementation, and support

• Development and implementation experience with relational databases (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc. 


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