Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
Be accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
Ensures successful collaboration across teams and stakeholders
Identifies and mitigates issues to execute a book of work while escalating issues as necessary
Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
Creates a culture of diversity, equity, inclusion, and respect for team members and prioritizes diverse representation
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and advanced applied experience in Data Management, Data Integration, Data Quality, Data Monitoring and Analytics experience.
Experience leading teams of technologists and managing global stakeholders
Experience in data engineering with proficiency in Python and PySpark.
Experience with building Cloud native applications using cloud platforms such as AWS, Azure, GCP and experience in leveraging cloud services for data storage, processing and analytics.
Hands-on experience in data integration and handling projects that involves processing huge volume of data for reporting models.
Hands-on experience in database system (both SQL and NOSQL) and create/maintain scalable database load process with framing up Complex SQL Queries and ensuring optimal data storage and retrieval.
Expertise in working with agile projects to automated testing / dev ops environments.
Knowledge of big data technologies such Apache Spark or Pyspark
Hands-on experience with containerization technologies like Docker and Kubernetes (EKS).
Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives