Job Description

JOB RESPONSIBILITIES

* Drives development, testing, deployments, and iterative improvement of product capabilities and features in collaboration with peers across Design, Product Management, and Engineering
* Leverages critical thinking, experimentation, data, and industry best practices to implement desired business outcomes
* Develops high quality applications that are secure, easy to operate, difficult to break, and extremely observable with measurable results.
* Responsible for all technical aspects of the product application lifecycle including, code, infrastructure, data, security, and CICD
* Establishes product engineering and software standards
* Sets vision and drives cultural transformation within the team and across the organization
* Leads technical initiatives across the organization
* Utilizes technical background to coach others through empathy and hands-on mentoring
* Manages multiple groups of engineers while embedded on a team as an individual contributor
* Effectively balances time between individual contribution and management
* Acquires, retains, and develops top and diverse talent

QUALIFICATIONS

PREFERRED

* Bachelor's Degree or equivalent in MIS, Computer Science or related field
* 8+ years of experience in software development
* 4+ years of progressive management experience, developing and attracting multiple diverse teams
* Expert ability to manage multiple competing priorities
* Successful transformation of technical leadership into people leadership
* Expert knowledge of application design patterns, event-driven architecture,
* database schemas, and testing strategies
* Proven experience with large scale application troubleshooting and performance tuning
* Proven experience working with major cloud platforms (GCP, AWS, or Azure)
* Expert knowledge and experience with continuous integration, continuous deployment, and test driven development

ADDENDUM

SENIOR MANAGER, BIG DATA SOFTWARE ENGINEERING

* Strong Knowledge of build management tools such as Jenkins or Maven
* Demonstrated understanding of source control systems such as GIT
* Extensive Database Design experience including either SQL, PL/SQL
* Implementing ETL process with Big Data Technologies
* Required: Spark, Python, Scala and Airflow
* Preferred: MapReduce, Pig, Hive, Kafka, Sqoop, and Flume
* Experience in designing and creating automation workflows and execution
* Extensive knowledge of Apache Airflow Developing DAG, Performance tuning of the DAGs and task implementation
* Experience working with distributed caching technologies such as REDIS
* Good understanding of MPP databases such as Teradata and Netezza
* Hands-on lead developer/architect who excels in a dynamic, fast-moving, and agile environment building high quality and high-performance Data Engineering software

You will be expected to work equally between design, hands-on development, and providing mentorship to our other developers