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Hadoop Developer- Data Analytics Engineer

Req #: 180026851
Location: Bangalore East, KA, IN
Job Category: Technology
Potential Referral Amount: 35000 Indian Rupee (INR)

J.P. Morgan is a leading global financial services firm, established over 200 years ago:

o We are the leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management.

o We have assets of $2.5 trillion and operations worldwide

o We operate in more than 100 markets.

o We have more than 243,000 employees globally.

Our wholesale businesses include J.P. Morgan’s Asset Management, Commercial Banking and the Corporate & Investment Bank which provide products and services to corporations, governments, municipalities, non-profits, institutions, financial intermediaries and high-net worth individuals and families.

 

 

Key Responsibilities to include but are not limited to:
  • Work collaboratively within a digital team to design, engineer and deliver high quality technology solutions to address the requirements, leveraging strategic technology solutions such as Hadoop, Python, Spark.
  • Strong knowledge Data Warehousing concepts and data structures.
  • Familiar with Agile methodologies such as SCRUM.
  • Familiar with development tools such as SVN/Jira, etc.
  • Out of box thinking…Passion for great product design
  • Perform end-to-end software development life cycle functions including Architecture, Design, Development, Application Industrialization, Performance Analysis & Tuning, Optimization, Testing and Product Maintenance.
  • Ensure quality of deliverables, set development standards in areas of code quality, test coverage, monitoring, logging, exception management.
  • Collaborate and build relationships with other development teams, and business clients.
Qualification
  1. The individual must have 5+ years of diversified experience developing applications using Hadoop (Sqoop, Hive), Spark, Python.
  2. Experience with data processing and analysis, preferably on big data
  3. Experience with agile and test driven development methodologies required
  4. Familiarity with Hadoop and Spark highly desired
  5. Strong analytical and problem solving skills
  6. Knowledge of principles and concepts of Big Data processing and analytics highly desired
 
Basic Qualifications/skills:
  1. Bachelor’s degree in Engineering, Computer Science or Finance
  2. Minimum 3+ years of Hadoop and Python experience
  3. Digital banking experience is a plus

 

Data Engineer for Digital Analytics Team
 
Key Responsibilities to include but are not limited to:
  • Work collaboratively within a digital team to design, engineer and deliver high quality technology solutions to address the requirements, leveraging strategic technology solutions such as Hadoop, Python, Spark.
  • Strong knowledge Data Warehousing concepts and data structures.
  • Familiar with Agile methodologies such as SCRUM.
  • Familiar with development tools such as SVN/Jira, etc.
  • Out of box thinking…Passion for great product design
  • Perform end-to-end software development life cycle functions including Architecture, Design, Development, Application Industrialization, Performance Analysis & Tuning, Optimization, Testing and Product Maintenance.
  • Ensure quality of deliverables, set development standards in areas of code quality, test coverage, monitoring, logging, exception management.
  • Collaborate and build relationships with other development teams, and business clients.
Qualification
  1. The individual must have 5+ years of diversified experience developing applications using Hadoop (Sqoop, Hive), Spark, Python.
  2. Experience with data processing and analysis, preferably on big data
  3. Experience with agile and test driven development methodologies required
  4. Familiarity with Hadoop and Spark highly desired
  5. Strong analytical and problem solving skills
  6. Knowledge of principles and concepts of Big Data processing and analytics highly desired
 
Basic Qualifications/skills:
  1. Bachelor’s degree in Engineering, Computer Science or Finance
  2. Minimum 3+ years of Hadoop and Python experience
  3. Digital banking experience is a plus
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