EXL
EXL
EXL tashkilotlarga operatsiyalarini takomillashtirish va yanada to‘g‘ri qarorlar qabul qilishda yordam beradigan, ma’lumotlar, tahlil va texnologiyalardan foydalanishga ixtisoslashgan biznes konsalting va xizmatlar kompaniyasidir. Uning faoliyati operatsiyalarni boshqarish, qarorlar tahlili va raqamli transformatsiyani qamrab oladi. Kompaniya sog‘liqni saqlash, sug‘urta, moliya va logistika sohalaridagi mijozlarni qo‘llab-quvvatlash tajribasiga ega. EXL ma’lumotlar fanini amaliy biznes tajribasi bilan birlashtirib, har bir tashkilotning maqsadlari, operatsion modeli va soha sharoitlariga mos yechimlar ishlab chiqadi.

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.

Tavsif

  • 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.

Talablar

  • 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.

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