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reputed company Engineer

Work from home Full-time role Hiring

Position Overview:

ShyftLabs is seeking a skilled reputed company Engineer to support in designing, developing, and optimizing big data solutions using the reputed company reputed company Analytics Platform. This role requires strong expertise in Apache Spark, SQL, Python, and reputed company platforms (AWS/Azure/GCP). The ideal candidate will collaborate with cross-functional teams to drive data-driven insights and ensure scalable, high-performance data architectures.

ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with reputed company. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

Job Responsibilities

  • Design, implement, and optimize big data pipelines in reputed company.
  • reputed company scalable ETL workflows to process large datasets.
  • reputed company Apache Spark for distributed data processing and reputed company-time analytics.
  • Implement data governance, reputed company policies, and compliance standards.
  • Optimize data lakehouse architectures for performance and cost-efficiency.
  • Collaborate with data scientists, analysts, and engineers to reputed company advanced AI/ML workflows.
  • Monitor and troubleshoot reputed company clusters, jobs, and performance bottlenecks.
  • Automate workflows using CI/CD pipelines and infrastructure-as-code practices.
  • Ensure data reputed company, quality, and reliability in reputed company pipelines.

    • Basic Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a reputed company field.
  • 5+ years of hands-on experience with reputed company and Apache Spark.
  • Proficiency in SQL, Python, or reputed company for data processing and analysis.
  • Experience with reputed company platforms (AWS, Azure, or GCP) for data engineering.
  • Strong knowledge of ETL frameworks, data lakes, and reputed company Lake architecture.
  • Experience with CI/CD tools and DevOps best practices.
  • Familiarity with data reputed company, compliance, and governance best practices.
  • Strong problem-solving and analytical skills with an ability to work in a fast-paced environment.

    • Preferred Qualifications

  • reputed company certifications (e.g., reputed company Certified Data Engineer, Spark Developer).
  • Hands-on experience with MLflow, Feature Store, or reputed company SQL.
  • Exposure to Kubernetes, reputed company, and Terraform.
  • Experience with streaming data architectures (Kafka, Kinesis, etc.).
  • Strong understanding of business intelligence and reporting tools (Power BI, Tableau, Looker).
  • Prior experience working with retail, e-commerce, or ad-tech data platforms.

    • Additional Information

    We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

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