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Data Engineer

Data Engineer

Dexian Indiasalem, tamil nadu, in
22 hours ago
Job description

Python Data Engineer : -

  • Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.
  • Constructing infrastructure for efficient ETL processes from various sources and storage systems.
  • Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.
  • Leading the implementation of algorithms and prototypes to transform raw data into useful information.
  • Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI / ML transformations.
  • Creating innovative data validation methods and data analysis tools.
  • Ensuring compliance with data governance and security policies.
  • Interpreting data trends and patterns to establish operational alerts.
  • Developing analytical tools, programs, and reporting mechanisms.
  • Conducting complex data analysis and presenting results effectively.
  • Preparing data for prescriptive and predictive modeling.
  • Continuously exploring opportunities to enhance data quality and reliability.
  • Applying strong programming and problem-solving skills to develop scalable solutions.
  • Passion for testing strategy, problem-solving, and continuous learning.
  • Willingness to acquire new skills and knowledge.
  • Possess a product / engineering mindset to drive impactful data solutions.
  • Experience working in distributed environments with global teams.

Technical Skills and Experience requirements :

  • Minimum 8+ years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.
  • High proficiency in Python, Scala and Spark for applied large-scale data processing.
  • Expertise with big data technologies, including Spark, Data Lake, Delta Lake, and Hive.
  • Solid understanding of batch and streaming data processing techniques.
  • Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.
  • Expert-level ability to write complex, optimized SQL queries across extensive data volumes.
  • Experience with RDBMS and OLAP databases like MySQL, Snowflake.
  • Familiarity with Agile methodologies.
  • Obsession for service observability, instrumentation, monitoring, and alerting.
  • Knowledge or experience in architectural best practices for building data lakes.

    • Qualification : Bachelor’s / Master’s Degree.

    Relevant Development Experience : 8+ Years

    Relevant Experience : 8+ Years (as Python and Data Engineer)

    Overall IT Experience : 8 to 12 Years

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