Manager Data Engineering DE - Big Data Azure

As Manager, Data Engineering, you will be responsible for translating client requirements into design, architecting, and implementing Azure Cloud-based big data solutions for clients. Your role will be focused on delivering high-quality solutions by independently driving design discussions related to Data Ingestion, Transformation & Consumption, Data Storage and Computation Frameworks, Performance Optimizations, Infrastructure, Automation & Cloud Computing, and Data Governance & Security. The role requires a hands-on technologist with expertise in Big Data solution architecture and with a strong programming background in Java / Scala / Python.

Your Impact:

• Overall 8+ years of IT experience with 3+ years in Data related technologies, and expertise of 1+ years in data-related Azure 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 Azure 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 Azure 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.

• Certification on Azure cloud platform or big data technologies.
• Strong analytical and problem-solving skills.
• Excellent understanding of data technologies landscape/ecosystem