Job Location: Bengaluru
- Big Data Software Engineering, including work with software engineers on other application teams to develop reference implementations for various critical technology initiatives in Data Ecosystems using full stack Java/J2EE development in web, big data, and server environments.
- Design and Develop Spark and python based ETL, Data Quality and Data Warehousing for Big Data Platforms.
- Develop build packages using Maven.
- Perform testing (unit, system, UAT, regression, stress, integration, and/or volume).
- Create automated tests and devise test strategies as part of the development process, including work with Cucumber, Junit, Mock frameworks.
- Work with the team to execute DevOps tasks and operate in an Agile development environment to deliver enhancements in 2-week cycles
- Cross-train other Java/Big Data Developers on the team CDO best practices and CCB CDO DevOPs toolchain.
- Cloud application design and development
- Contributing to the design and architecture of the project
- Operating within Agile Development environment and apply the methodologies
Skills and Qualifications
- 4 to 8 years of development experience and at least 2 years working on with Big Data
- Graduate degree in Computer Science, Information Systems or equivalent quantitative field and 3+ years of experience in a similar Data Engineer role.
- Test-infected attitude (strong desire to perform thorough and exhaustive unit, integration and system testing).
- Experience working with and extracting value from large, disconnected and/or unstructured datasets
- Demonstrated ability to build processes that support data transformation, data structures, metadata, dependency and workload management
- Strong interpersonal skills and ability to project manage and work with cross-functional teams
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing big data data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Experience with the following tools and technologies:
- Python, Spark, Airflow, Kafka,
- Relational SQL and NoSQL databases
- Data pipeline/workflow management tools such as Azkaban and Airflow
- AWS cloud services such as EC2, EMR, RDS and Redshift
- Stream-processing systems such as Storm and Spark-Streaming
- Object-oriented/object function scripting languages such as Python.
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the worlds most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants and employees religious practices and beliefs, as well as any mental health or physical disability needs.
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