EXL
EXL
EXL — ұйымдарға операцияларын жетілдіруге және тиімдірек шешімдер қабылдауға көмектесу үшін деректерді, талдауды және технологияларды пайдаланатын бизнес-консалтинг және қызмет көрсету компаниясы. Оның жұмысы операцияларды басқаруды, шешімдер аналитикасын және цифрлық трансформацияны қамтиды. Компания денсаулық сақтау, сақтандыру, қаржы және логистика салаларындағы клиенттерге қолдау көрсету тәжірибесіне ие. EXL деректер ғылымын практикалық бизнес сараптамасымен ұштастырып, әр ұйымның мақсаттарына, операциялық моделіне және салалық ерекшеліктеріне бейімделген шешімдер әзірлейді.

Mid-Senior Data Engineer - Hybrid in Noida

Join EXL as a mid-senior Data Engineer in hybrid Noida, developing scalable Databricks and Snowflake platforms. Build ETL/ELT pipelines, data models, and cloud analytics solutions with Python, SQL, and Spark.

Сипаттама

  • Partner with senior data engineers and architects to develop, optimize, and support scalable data pipelines and workflows.
  • Create ETL/ELT processes with Databricks, Spark, Python, and SQL.
  • Design and implement ingestion frameworks for structured and unstructured data.
  • Develop and maintain Snowflake data models, data marts, and analytical datasets.
  • Monitor pipeline operations and improve performance, reliability, and scalability.
  • Work with stakeholders, analysts, and data scientists to clarify requirements and deliver data solutions.
  • Contribute to architecture discussions, proof-of-concepts, and process improvement efforts.
  • Record data flows, technical designs, and implementation details for operational support and knowledge sharing.
  • Apply data quality, security, and governance standards across data platforms.

Талаптар

  • Bachelor’s or master’s degree in computer science, information technology, engineering, data science, or a related technical discipline.
  • Solid knowledge of SQL and core database concepts.
  • Proficiency in Python or a comparable programming language.
  • Understanding of data warehousing, ETL/ELT workflows, and data modeling.
  • Exposure to Databricks, Apache Spark, Snowflake, or cloud data platforms through projects, internships, certifications, hackathons, or personal work.
  • Basic familiarity with Azure, AWS, or Google Cloud Platform is advantageous.
  • Strong analytical and problem-solving abilities, with enthusiasm for learning modern data engineering technologies.
  • Effective communication and collaboration skills.

Ұқсас жұмыс орындары

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