Data Engineer III
Bengaluru, Karnataka, India
JPMorgan Chase & Co.
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Data Engineer III at JPMorgan Chase within the Corporate and Investment Banking - Payment Technology team you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives. Analyze Data spanning across various Line of Business and Legal Entities that may be specific to them in structure and form.
Job responsibilities
- Supports review of controls to ensure sufficient protection of enterprise data
- Responsible for advising and making custom configuration changes in one to two tools to generate a product at the business or customer request
- Updates logical or physical data models based on new use cases
- Must be able to hold design discussions related to consumption, usage and build of the data with the data owners, stakeholders and steer the conversations to meaningful outputs.
- Must be comfortable in leading discussions with partners to understand their business processes and cater technological solution to their needs.
- Understand overall product vision and align with the strategy.
- Understand the current book-of-work and prioritize the upcoming work with stakeholders.
- Involved in the production of metrics, KPI and analysis to assist the team in making data-driven decisions
- Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Experience across the data lifecycle
- Advanced at SQL (e.g., joins and aggregations), Python or Java, Spark, Database (SQL, NOSQL), data lake, Big data, Databricks, ETL pipelines, AWS or Azure, Terraform, DevOps, CICD pipelines and deployments.
- Working understanding of NoSQL databases
- Ability to analyze and resolve errors, foresee pitfalls and make effective choice of solution.
- Suggest performance improvement points and fine tune code to deliver necessary efficiencies.
- Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
- Experience customizing changes in a tool to generate product
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s 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. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Banking Big Data Data analysis Databricks Data pipelines DevOps Engineering ETL Java NoSQL Pipelines Python Spark SQL Statistics Terraform Testing
Perks/benefits: Equity
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