Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Corporate Technology you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job Responsibilities

Solid understanding of cloud platforms (AWS, GCP, Azure) and hands on experience in cloud-based solutions (Preferably AWS)
Working exposure on data integration and handling projects that involves processing huge volume of data.
Hands-on experience in preparing/integrating the datasets to match to the reporting requirements.
Working knowledge on Data Management/Data Quality Rules development will be a plus.
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
High level of expertise in SQL, Data Warehousing & Business Intelligence concepts
Good working knowledge using any database system (both SQL and NOSQL) and experience in creating/maintaining scalable database load process with hands-on experience in framing up Complex SQL Queries and ensuring optimal data storage and retrieval.
Expertise in working with agile projects and exposure to automated testing / dev ops kind of environments.

Required Qualifications, Capabilities, And Skills

Formal training or certification on software engineering concepts and 7+ years applied experience
Requires experience of 10-14 years of Data Management, Data Integration, Data Quality, Data Monitoring and Analytics experience
At least 2-4 years experience leading teams
Strong hands-on experience in developing and maintaining robust ETL processes for data integration and strong understanding of data transformation and cleansing techniques.
Knowledge of big data technologies such Apache Spark(Preferably Pyspark
Strong Hands-on experience in Python
Proficiency in SQL and Database development.
Passion for building scalable, global, complex systems to solve problems with proven ability to deliver high quality software.
Experience with building Cloud native applications using cloud platforms such as AWS, Azure, GCP (Preferably AWS) and experience in leveraging cloud services for data storage, processing and analytics.
Strong hands-on experience with containerization technologies like Docker and Kubernetes (EKS).
Solid understanding of Object-Oriented design and concepts.
Strong fundamentals in data structures, caching, multithreading, messaging and asynchronous communication.
Strong collaboration skills to work effectively with cross functional teams.

Preferred Qualifications, Capabilities, And Skills

Experience in using Databricks for big data analytics and processing.
Experience with Data Orchestrator tool like Airflow.
Experience with Data Integration tools like Apache NIFI
Familiarity with data governance and metadata management.
Experience with messaging technologies like Kafka, Kinesis.
Exposure to No-SQL databases like MongoDB.

ABOUT US

Lead Software Engineer Python , PySpark, System Design , AWS Cloud , Databricks

Lead Software Engineer - Python & AWS