Candidate must have an agile mindset; An expert in Scaled Agile delivery model, experienced with agile ceremonies such as daily scrums, spring planning, sprint reviews and sprint demos.
Design and implement low latency, high throughput streaming pipelines using Kafka, Flink, and Spark Streaming.
Build and maintain event driven architectures for real time data ingestion and processing.
Develop stateful and stateless stream processing applications using Flink and Spark Structured Streaming.
Collaborate closely with various application teams to define integration points and API specification.
Report progress, test metrics and results to the project stakeholders.
Perform all activities involved in the software testing lifecycle.
Highly effective written and verbal communication skills
Required Qualifications:
Candidate must have an agile mindset; An expert in Scaled Agile delivery model, experienced with agile ceremonies such as daily scrums, spring planning, sprint reviews and sprint demos.
Should have 8+ years of hands on experience in data engineering roles
Strong experience in building streaming pipeline
Hands on expertise with Hadoop ecosystem, Kafka, Flink, Spark Streaming and SQL
Scala and Python
Oracle Database, SQL, PL/SQL.
Familiarity with CI/CD tools (Git, Bitbucket, uDeploy, ServiceNow)
Familiarity with CI/CD tools (Git, Bitbucket, uDeploy, ServiceNow)
Soft Skills & Client Facing Capabilities
Robust verbal and written communication skills
Ability to explain complex technical concepts to non technical stakeholders
Proven experience working in client facing or consulting roles
Strong problem solving and analytical thinking
Ability to manage multiple priorities in a fast paced environment
Collaborative mindset with leadership capabilities
Highly effective written and verbal communication skills
Preferred Qualifications: Experience in building enterprise scale data platforms Exposure to cloud based data ecosyste
📌 Sr Data Engineer with Kafka (Hyderabad)
🏢 CGI
📍 Hyderabad
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