Big Data Architect

3 weeks ago

Pune, India Talent Velocity Full time

Job Title : Big Data ArchitectExperience : 8+ YearsLocation : Nagpur / Pune (Onsite 5 Days Working)Notice Period : 0 to 30 days maxAbout the Role :We are looking for a highly skilled Big Data Architect to design and deliver scalable, production-grade big data solutions integrating Hadoop ecosystems with cloud platforms. The ideal candidate will have hands-on experience in architecting, optimizing, and deploying complex data pipelines while ensuring performance, cost efficiency, and best practices in data engineering.Key Responsibilities :- Deliver reference architecture for Hadoop + Cloud integration tailored to enterprise-scale environments.- Deploy production-grade pipelines using HDFS, Spark, and Kafka for batch and real-time data processing.- Set up best practices and implement CI/CD frameworks for data engineering workflows.- Lead data performance optimization and cost-reduction strategies across the big data stack.- Collaborate with cross-functional teams (data engineers, data scientists, DevOps) to ensure robust, scalable solutions.- Provide technical leadership and mentor junior engineers in big data technologies.Required Skills & Qualifications :- 8+ years of experience in Big Data architecture and engineering.- Expertise in the Hadoop ecosystem: HDFS, Hive, Sqoop, Oozie, Pig, Impala.- Strong knowledge of real-time processing frameworks: Kafka, Spark Streaming, Flink.- Hands-on experience with cloud platforms (AWS, GCP, or Azure) EMR, Dataproc, .HDInsight.- Proficiency in Python, Scala, or Java for big data solutions.- Experience with orchestration tools like Airflow or Prefect.- Familiarity with Lakehouse technologies: Delta Lake, Apache Iceberg.- Strong understanding of data modeling, data security, and governance best practices.- Excellent problem-solving, communication, and collaboration skills.Preferred Qualifications :- Experience in cost-optimization strategies for large-scale data platforms.- Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).- Familiarity with CI/CD tools like Jenkins, GitLab CI/CD.- Prior experience mentoring and leading engineering teams. (ref:hirist.tech)

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