Job responsibilities
- 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