Manager of Software Engineering | Cloud |AWS| Data Engineer |Senior|
Job details
Job description, work day and responsibilities
JOB DESCRIPTION
This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.
Job Summary
As a Manager of Software Engineering, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices.
Job responsibilities
• Provides guidance to immediate team of software engineers on daily tasks and activities
• Sets the overall guidance and expectations for team output, practices, and collaboration
• Anticipates dependencies with other teams to deliver products and applications in line with business requirements
• Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements
• Creates a culture of diversity, equity, inclusion, and respect for the team members and prioritizes diverse representation
Required qualifications, capabilities, and skills
• 8+ years of professional work experience designing and implementing data pipelines in a cloud environment is required. (E.g. Apache Ni Fi / Informatica BDM / Talend, etc.).
• 5+ years of experience migrating/developing data solutions in the AWS cloud is required. Experience needed in Glue Catalog, AWS Glue, AWS DMS, Apache Airflow, AWS IAM, AWS RDS
• 3+ years of experience building/implementing data pipelines using Databricks such as Unity Catalog, Databricks workflow, Databricks Live Table etc.
• 3+ 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
• Knowledge or experience in architectural best practices in building data lakes Expert level knowledge of using SQL to write complex, highly optimized queries across large volumes of data.
Preferred qualifications, capabilities, and skills
• Experience working at code level
ABOUT US
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, ****** 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.
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success
Company address
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Offer ID: #779021,
Published: 2 weeks ago,
Company registered: 2 years ago
