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JobsJPMorgan Chase

Software Engineer III - Data Engineer

JPMorgan Chase

Software Engineer III - Data Engineer

JPMorgan Chase

Hyderabad, Telangana, India, IN

·

On-site

·

Full-time

·

2w ago

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Employee Platforms team which is aligned to Enterprise Technology , you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities :

  • Manage data integration and data analysis of disparate systems
  • Build extensible data acquisition and integration solutions to meet the functional and non-functional requirements of the client
  • Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources
  • Provide problem-solving expertise and complex analysis of data to develop business intelligence integration designs
  • Interface with other internal product development teams as well as cross functional teams (Product Management, Integration Engineering, Quality Engineering, System Admin Teams)
  • Working with remote and geographically distributed teams to enable building the right products, using the right building blocks, and making them consumable by other products easily

Required qualifications, capabilities, and skills:

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Hands on experience in data integration projects using Big Data Technologies
  • Hands on experience in Spark and Scala ; Experience in AWS Data Warehousing and database platforms
  • Strong experience in CICD using Jenkins, Git, Artifactory, Yaml, Maven for Cloud deployments
  • Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala- Strong experience in integrating data from different types of file-storage formats like Parquet, ORC, Avro, Sequence files etc.
  • Strong technical understanding in building scalable, high performance distributed services/systems
  • Strong knowledge of Data Warehousing and Data Lake concepts along with strong experience with Java open-source and API standards
  • Possesses strong problem solving, troubleshooting, and analytical skills ; Ability to quickly learn new technologies in a dynamic environment
  • Having excellent communication, presentation, interpersonal, and analytical skills including the ability to communicate complex concepts clearly to different audiences
  • Experience in technologies like Oracle/SQL and NoSQL data stores such as Mongodb

Preferred qualifications, capabilities, and skills:

  • Databricks
  • Big data technologies - preferably related to human resources analytics

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About JPMorgan Chase

JPMorgan Chase

JPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.

300,000+

Employees

New York City

Headquarters

Reviews

4.2

10 reviews

Work Life Balance

4.2

Compensation

4.3

Culture

4.5

Career

4.4

Management

4.1

75%

Recommend to a Friend

Pros

Good pay and benefits

Work-life balance

Career advancement opportunities

Cons

Heavy workload at times

Career advancement takes time

Pay could be better in some roles

Salary Ranges

47 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

21 reports

$126,500

total / year

Base

$110,000

Stock

-

Bonus

-

$95,450

$155,250

Interview Experience

4 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

HireVue Video Interview

3

Technical/Behavioral Assessment

4

Final Interview Round

5

Offer Decision

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit

Case Study