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Data Architect @ Infosys

Home > DBA / Data warehousing

 Data Architect

Job Description


Job Title
Data Architect  Responsibilities 
A day in the life of an Infoscion
  • As part of the Infosys consulting team, your primary role would be to lead the engagement effort of providing high-quality and value-adding consulting solutions to customers at different stages- from problem definition to diagnosis to solution design, development and deployment.
  • You will review the proposals prepared by consultants, provide guidance, and analyze the solutions defined for the client business problems to identify any potential risks and issues.
  • You will identify change Management requirements and propose a structured approach to client for managing the change using multiple communication mechanisms.
  • You will also coach and create a vision for the team, provide subject matter training for your focus areas, motivate and inspire team members through effective and timely feedback and recognition for high performance.
  • You would be a key contributor in unit-level and organizational initiatives with an objective of providing high-quality, value-adding consulting solutions to customers adhering to the guidelines and processes of the organization. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: 
  • Must have 9+ years of experience in data engineering
  • Proficiency with Databricks and Apache Spark
  • Strong SQL skills and experience with relational databases
  • Experience with big data technologies (e.g., Hadoop, Kafka)
  • Knowledge of data warehousing concepts and ETL processes
  • Experience with CI/CD tools, particularly Jenkins
  • Excellent problem-solving and analytical skills
  • Solid understanding of big data fundamentals and experience with Apache Spark
  • Familiarity with cloud platforms (e.g., AWS, Azure)
  • Experience with version control systems (e.g., BitBucket)
  • Understanding of DevOps principles and tools (e.g., CI/CD, Jenkins)
  • Databricks certification is a plus
     Preferred Skills:
  •   Technology->Big Data->Big Data - ALL
    Technology->Cloud Integration->Azure Data Factory (ADF)
    Technology->Cloud Platform->AWS Data Analytics->AWS Data Exchange  Additional Responsibilities: 
  • Design, develop, and maintain scalable data pipelines on Databricks using PySpark
  • Collaborate with data analysts and scientists to understand data requirements and deliver solutions
  • Optimize and troubleshoot existing data pipelines for performance and reliability
  • Ensure data quality and integrity across various data sources
  • Implement data security and compliance best practices
  • Monitor data pipeline performance and conduct necessary maintenance and updates
  • Document data pipeline processes and technical specificationsLocation of posting - Infosys Ltd. is committed to ensuring you have the best experience throughout your journey with us. We currently have open positions in a number of locations across India - Bangalore, Pune, Hyderabad, Mysore, Kolkata, Chennai, Chandigarh, Trivandrum, Indore, Nagpur, Mangalore, Noida, Bhubaneswar, Coimbatore, Mumbai, Jaipur, Hubli, Vizag. While we work in accordance with business requirements, we shall strive to offer you the location of your choice, where possible.  Educational Requirements 
    Bachelor of Engineering,Bachelor Of Technology  Service Line 
    Enterprise Package Application Services* Location of posting is subject to business requirements

    • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Engineering - Software & QA
    Role Category: DBA / Data warehousing
    Role: Data warehouse Architect / Consultant
    Employement Type: Full time

    Contact Details:

    Company: Infosys
    Location(s): Pune

    + View Contact

    Keyskills:   data engineering sql data bricks spark big data continuous integration big data technologies ci/cd microsoft azure data warehousing pyspark data architecture azure data factory relational databases bitbucket devops kafka jenkins hadoop aws etl

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