Manager of Software Engineering- WDA AWS

Job Responsibilities

• Manage data integration and data analysis of disparate systems.
• Build extensible data acquisition and integration solutions to meet the functional and non-functional requirements of the client.
• Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources.
• Provide problem-solving expertise and complex analysis of data to develop business intelligence integration designs.
• Interface with other internal product development teams as well as cross-functional teams (Product Management, Integration Engineering, Quality Engineering, System Admin Teams).
• Collaborate with remote and geographically distributed teams to enable building the right products, using the right building blocks, and making them consumable by other products easily.
• Lead teams with a minimum of 2-4 years of experience managing at least 5-10 engineers.
• Learn new technologies quickly in a dynamic environment.
• Exhibit strong problem-solving, troubleshooting, and analytical skills.
• Communicate complex concepts clearly to different audiences, demonstrating excellent communication, presentation, interpersonal, and analytical skills.
• Creates a culture of diversity, opportunity, inclusion, and respect for the team members and prioritizes diverse representation
  

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience,in addition, demonstrated coaching and mentoring experience
• Demonstrate a minimum of 6 years of experience in data integration projects using Big Data Technologies, preferably related to human resources analytics.
• Apply experience in AWS Data Warehousing and database platforms.
• Utilize hands-on experience with a minimum of 5 years on Spark and Scala.
• Develop streaming applications using Kafka with at least 2 years of hands-on experience.
• Implement CICD using Jenkins, Git, Artifactory, Yaml, Maven for Cloud deployments.
• Design Java open-source, API, JUnits, Spring Boot applications, and Swagger Setup.
• Query Big Data using tools such as Pig, Hive, and Impala.
• Integrate data from different types of file-storage formats like Parquet, ORC, Avro, Sequence files, etc.
• Build scalable, high-performance distributed services and systems with strong technical understanding.
• Apply knowledge of Data Warehousing and Data Lake concepts.
  

Preferred Qualifications, Capabilities, And Skills

• Experience working at code level
• Ability to multitask and swiftly transition between different types of issues.
• Passion for learning new technologies and driving innovative solutions.