Padmi

Sr Data Engineer with Kafka

HyderabadPosted 1 month ago
Software engineeringSenior
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Role and Resposibilitues: . 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 . Strong 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 ecosystems (AWS, Azure, or GCP) Knowledge of data governance, security, and compliance practices Experience mentoring junior team members

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