Data Engineer

7 days ago

Hyderabad, Telangana, India APPLIED INFORMATION SCIENCES (AIS) Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job Role: Data Engineer

Experience: 7+ Years

Mode of Work: Hybrid

Location: Hyderabad

Job Description:

As a Data Engineer, you will use innovative cloud and data technologies to help global brands and federal agencies solve challenging problems through innovative technology solutions. Work on exciting projects, future-proof your skills, and grow into your dream job alongside some of the most talented, knowledgeable, and resolute technologists in the industry.

Roles & Responsibilities

  • Work in a team with other smart AIS employees using cutting-edge technologies to solve challenging business problems.
  • Build elegant, scalable, extensible, cost-effective solutions toward innovation and agility.
  • Utilize problem-solving and decision-making skills to understand client pain points and to self-troubleshoot as challenges arise.
  • Collaborate with other development team members and project managers to deliver solutions that surpass client expectations while meeting deadlines and budgets.
  • Design, write, unit test, troubleshoot, and document data engineering solutions to successfully deliver project-based work.
  • Optimize On-Prem, and Azure SQL Databases with Data Definition Language, and Data Manipulation Language.
  • Work in an agile environment with participation in daily stand-ups/scrum.
  • Provide mentorship to junior Developers.
  • Learn new technologies and know industry standards, best practices, and trends.

Required Skills

  • Minimum of six years of comparable data engineering experience
  • Integrate data from various sources, both on-premises and in the cloud, into Azure data services.
  • Implement ETL processes for efficient data movement and transformation.
  • Extensive experience with Azure Data Factory (ADF)
  • Mid-Level development experience with .NET technologies (C#) required.
  • Experience working with and modifying Rest APIs
  • Implement and optimize data pipelines for batch and real-time data processing.
  • Kafka
  • GraphQL

If any one interested please share updated CV to

Thanks,

Alekya

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