Sigma Software Group
Sigma Software Group
Sigma Software Group वर्ष 2002 में स्थापित एक बहुराष्ट्रीय प्रौद्योगिकी परामर्श कंपनी है। इसकी टीमें ऑटोमोटिव, स्वास्थ्य सेवा, दूरसंचार, विमानन, बैंकिंग, गेमिंग, रियल एस्टेट और विज्ञापन सहित विभिन्न क्षेत्रों के ग्राहकों के लिए सॉफ्टवेयर विकास, ग्राफिक डिजाइन, परीक्षण और तकनीकी सहायता प्रदान करती हैं। कंपनी जटिल इंजीनियरिंग परियोजनाओं पर काम करने के लिए आईटी विशेषज्ञों को नियुक्त करती है और मेंटरिंग तथा निरंतर सीखने के माध्यम से पेशेवर विकास को प्रोत्साहित करती है। इसका कार्य मॉडल दूरस्थ कार्य के अवसर भी प्रदान करता है और यह AstraZeneca, Scania तथा SAS जैसी संस्थाओं के लिए परियोजनाएं संचालित करती है।

Senior Data Engineer

Build cloud-native data platforms and near-real-time pipelines, while modernizing Spark and PySpark workloads. Lead the adoption of AI tools and agentic workflows and contribute to technical research and development.

विवरण

  • Build scalable cloud-native data platforms from initial design through production.
  • Develop near-real-time ingestion pipelines using event-driven patterns.
  • Set and uphold platform standards for data lakes, lakehouses, medallion architecture, and data contracts.
  • Improve Spark and PySpark scripts for performance and maintainability.
  • Establish code quality, testing, and CI/CD practices across data pipelines.
  • Promote AI tools and agentic workflows within the Data Engineering team.
  • Maintain data quality, observability, scalability, and reliability across platforms and pipelines.
  • Create self-service tools and microservices that make the platform easier to use.
  • Work with Product, Machine Learning, and Data Science teams.
  • Contribute to architecture decisions and technical research and development.

आवश्यकताएँ

  • Bring at least five years of professional Data Engineering experience.
  • Demonstrate strong Python and SQL development skills.
  • Have hands-on Apache Spark and PySpark experience, including query optimization and performance tuning.
  • Have experience with Databricks or Snowflake.
  • Have practical experience with at least one major cloud provider: Azure, AWS, or GCP.
  • Have experience with stream processing tools such as Kafka or Spark Structured Streaming.
  • Understand ETL/ELT patterns, data modeling, and data warehousing.
  • Have used orchestration tools such as Apache Airflow or Azure Data Factory.
  • Know Infrastructure as Code tools, including Terraform.
  • Understand production systems, including observability, scalability, reliability, and performance.
  • Be able to lead technical initiatives independently from concept through delivery.
  • Communicate and collaborate effectively.
  • Have Upper-Intermediate or higher English proficiency.

लाभ

  • Work remotely.

संबंधित नौकरियाँ

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