Technical Lead - Noida/ Greater Noida, India - timesjobs

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    Full time
    Technical Lead - Data Engineering

    8-12 years Noida Graduation/Post Graduation Responsibilities Define client needs and oversee project milestones to ensure expectations, timelines, and budgets are met
    Define data platform architecture and design, have hands on capability to review code and make required changes
    Leverage extensive knowledge of distributed systems, process flows and procedures to aid analyses and recommendations for solution offerings
    Responsible for the overall quality of project deliverables and the successful implementation of defined solution for the customer
    Build long-term, superior client relationships and proactively manage client expectations, and ensure that change control is used when scope boundaries are exceeded
    Communicate a compelling and inspired vision to all customer levels, from CTOs/CIOs, to engineering managers and programmers.
    Maintain a strong network and promote the organization at various meetings, forums, panels, publications, and conferences to establish thought leadership in the industry
    Responsible for POCs on any tech stacks introduced, or possible version upgrades.


    At least 8 years of experience in design and development using various database technologies with recent 4 years associated Hadoop technology stack and programming languages
    Hands-on and technical lead experience in 4 or more areas:
    Hadoop, HDFS, MR
    High Availability architecture and DR setup
    Spark Streaming, Spark SQL, Spark ML
    Apache NiFi, Apache Airflow
    Hive / Pig / Sqoop
    NoSQL Databases HBase/Cassandra/Neo4j/MongoDB
    Good to have knowledge of Elastic Search
    Data security (Kerberos/OpenLDAP/Knox/Ranger)
    Performance Optimization

    Prior experience on Databricks and Snowflake would be preferred
    Good to have knowledge on AWS Data & Analytics Services
    Should have a very good overview of the current landscape and ability to visualize technology and industry trends
    Ability to successfully lead a team of big data engineers and big data developers through all phases of the development life cycle, including requirements definition, architecture, design, development, implementation, and testing
    Working knowledge of Big Data Integration with Third party / in house built Metadata Management, Data Quality, Master Data Management Solutions, Structured/Unstructured data
    Have been active in the community in terms of articles / blogs / speaking engagements at conferences