Required Qualifications : 3+ years of demonstrated ability with Hive, Python, Spark/Scala, SQL, etc. Google Cloud Platform Experience, Big Query, Cloud Storage, Dataproc, Data Flow, Cloud Composer, Cloud SQL, Pub Sub, Terraform, etc. Experience with Hadoop Ecosystem, Kafka, PCF cloud services Familiar with big data and machine learning tools and platforms Experience with BI tools, such as Alteryx, Data Stage, QlikSense, etc. Design data pipelines and data robots, take a vision and bring it to life Master data engineer; mentors others; works closely with IT architects to set strategy and design projects Provide extensive technical, and strategic advice and guidance to key stakeholders around the data transformation efforts Redesign data flows to prevent recurring data issues Strong analytical and problem-solving skills Possess excellent oral and written communication skills, as well as facilitationand presentation skills, and engaging presentation style. Ability to work as a global team member, as well as independently, in achanging environment and prioritize. Ability to establish and maintain coordinated and effective working relationships with application implementation teams, IT project teams, business customers, and end users. Ability to deliver work within deadlines. Experience with agile/lean methodologies Experience working independently and with minimal supervision Experience with Test Driven Development and Software Craftsmanship Experience with GitHub, Accurev, or other version-control systems Experience with Putty Experience with Datastage Strong Communications skills Ability to illustrate and convey ideas and prototypes effectively with team and partners Presence demonstrating confidence, ability to learn quickly, influence, and shape ideas Key Skills Required - Data Engineer- Python / PySpark / Scala- SQL & Hive- Hadoop Ecosystem- Data Pipeline Design & ETL Development- Google Cloud Platform (BigQuery, Dataproc, Dataflow, Cloud Storage)- Kafka / Streaming Data Processing- Terraform (Infrastructure as Code)- DataStage or Similar ETL Tools- Version Control (GitHub or equivalent)- Agile Methodologies- Strong Analytical & Problem-Solving Skills- Stakeholder Collaboration & CommunicationNice to Have:- Cloud Composer, Cloud SQL, Pub/Sub- BI Tools (Alteryx, QlikSense)- Machine Learning Platform Exposure- Test Driven Development (TDD)- Mentoring & Technical Leadership