Big Data Architect

Email your CV to contact@tenz.ai

Roles & Responsibilities

    • Take complete technical ownership of high-level design, tech stack, non-functional attributes of one or more components of various platforms.
    • Understand the enterprise architecture roadmap and research, identify and recommend industry best practices for solving business problems.
    • More than 8 to 12 years of IT Industry experience with deep focus on Big Data, SQL, NoSQL and real time streaming applications
    • Ability to engage with Business Partners to develop solution-level roadmaps within a supported business domain.
    • High energy levels, right attitude and pleasing personality. Demonstrate the compassion to lead and bring value to the architecture portfolio
    • Well versed with latest trends in technologies related to big data, business intelligence & analytics
    • Ability to champion the business users interests through the design, development and QA phases of a project life-cycle by ensuring solutions proposed meet business requirements
    • Lead project delivery and execution
    • Proficient in running requirements workshops with the relevant stakeholders

Must Have Skills

    • Experience working in core development Big Data projects, should be able to perform hands-on development activities.
    • Build scalable, efficient and high-performance pipelines / workflows that are capable of processing large amounts of batch and real-time data.
    • Ability to design data model and prior expertise in Database (RDBMS), or BI / DW and NoSQL ( MongoDB / Cassandra / CouchDB)
    • Experience on cloud-based data stores like Redshift and Big Query is an advantage
    • Strong understanding & experience working on Hadoop eco system such as HDFS, MapReduce, Yarn, Spark, Scala, Hive, HBase, Phoenix, Zookeeper, Pig, Hadoop streaming, Sqoop
    • Strong data management skills with ETL, DWH, Data Quality and Data Governance
    • Experience of NoSQL technologies like Hbase, MongoDB, Cassandra, Redis etc. is a plus
    • Strong Programming expertise in Java, Scala, Python, SQL
    • Demonstrated expertise in Agile software development methodology