Job Description
- Overall 8+ years of IT experience with 3+ years in Data related technologies, and expertise of 1+ years in data-related GCP Cloud services and delivered at least 1 project as an architect.
- Mandatory to have knowledge of Big Data Architecture Patterns and experience in the delivery of end-to-end Big Data solutions on GCP Cloud.
- Expert in programming languages like Java/ Scala and good to have Python
- Expert in at least one distributed data processing framework: Spark (Core, Streaming, SQL), Storm or Flink, etc.
- Expert in Hadoop eco-system with GCP cloud distribution and worked at least on one or more big data ingestion tools (Sqoop, Flume, NiFI, etc), distributed messaging and ingestion frameworks (Kafka, Pulsar, Pub/Sub, etc) and good to know traditional tools like Informatica, Talend, etc
- Should have worked on any NoSQL solutions like Mongo DB, Cassandra, HBase, etc, or Cloud-based NoSQL offerings like DynamoDB, Big Table, etc.
- Good Exposure in development with CI / CD pipelines.
- Knowledge of containerization, orchestration, and Kubernetes engine would be an added advantage.
Job Responsibilities
- Provide technical leadership and hands-on implementation role in the areas of data engineering including data ingestion, data access, modeling, data processing, visualization, design, and implementation.
- Lead a team to deliver high quality big data technologies-based solutions on GCP Cloud. Manage functional & nonfunctional scope and quality.
- Help establish standard data practices like governance and address other non-functional issues like data security, privacy, and quality.
- Manage and provide technical leadership to a data program implementation based on the requirement using agile technologies.
- Participate in workshops with clients and align client stakeholders to optimal solutions.
- Consulting, Soft Skills, Thought Leadership, Mentorship etc.
- People management, contributing to hiring and capability building.
Location
Remote