oracle
Senior Lead Software Engineer- Data Engineer
JPMorgan Chase
Bengaluru, IND
Full-time
Senior · 12+ years experience
Onsite
Discovered 4 days ago
airflowawsdatabrickshadooppythonspark
Key Skills for This Role
airflowawsdatabrickshadooppythonspark
Full Job Posting
Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 8+ years applied experience
- Experience designing and implementing data pipelines in a cloud environment is required. (E.g. Apache Ni Fi / Informatica etc.).
- 12+ years of experience migrating/developing data solutions in the AWS cloud is required. Experience needed in AWS Services, Apache Airflow.
- 12+ years of experience building/implementing data pipelines using Databricks such as Unity Catalog, Databricks workflow, Databricks Live Table etc.
- Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security3+ years of Hands-on object-oriented programming experience using Python (specially Py Spark) to write complex, highly optimized queries across large volumes of data.
- Knowledge or experience in Big data technologies such as Hadoop/Spark. Knowledge or experience in Data modeling and ETL processing
- Hands on experience in data profiling and advanced PL/SQL procedures
Preferred qualifications, capabilities, and skills
- Familiarity Oracle, ETL, Data Warehousing, and good to have cloud expertise
- Exposure to cloud technologies
About JPMorgan Chase
Banking323028 employees
Global financial services and investment banking firm.
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