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Data Engineer

    Data Engineer - Anywhere in India/Multiple Locations - XANDER CONSULTING AND ADVISORY PRIVATE LIMITED

    XANDER CONSULTING AND ADVISORY PRIVATE LIMITED
    XANDER CONSULTING AND ADVISORY PRIVATE LIMITED Anywhere in India/Multiple Locations

    5 days ago

    Default job background
    permanent Technology / Internet
    Description

    Primary Roles and Responsibilities:

    • Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack
    • Ability to provide solutions that are forwardthinking in data engineering and analytics space
    • Collaborate with DW/BI leads to understand new ETL pipeline development requirements.
    • Triage issues to find gaps in existing pipelines and fix the issues
    • Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs
    • Help joiner team members to resolve issues and technical challenges.
    • Drive technical discussion with client architect and team members
    • Orchestrate the data pipelines in scheduler via Airflow

    Skills and Qualifications:

    • Bachelor's and/or master's degree in computer science or equivalent experience.
    • Must have total 5+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects.
    • Deep understanding of Star and Snowflake dimensional modelling.
    • Strong knowledge of Data Management principles
    • Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture
    • Should have handson experience in SQL, Python and Spark (PySpark)
    • Candidate must have experience in AWS/ Azure stack
    • Desirable to have ETL with batch and streaming (Kinesis).
    • Experience in building ETL / data warehouse transformation processes
    • Experience with Apache Kafka for use with streaming data / eventbased data
    • Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala)
    • Experience with Open Source nonrelational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J)
    • Experience working with structured and unstructured data including imaging & geospatial data.
    • Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT.
    • Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
    • Databricks Certified Data Engineer Associate/Professional Certification (Desirable).
    • Comfortable working in a dynamic, fastpaced, innovative environment with several ongoing concurrent projects
    • Should have experience working in Agile methodology
    • Strong verbal and written communication skills.
    • Strong analytical and problemsolving skills with a high attention to detai
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