. 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
. Solid 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 d
📌 Sr Data Engineer with Kafka (Hyderabad)
🏢 CGI
📍 Hyderabad
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