Senior Data Engineer

2 days ago

Navi Mumbai, Maharashtra, India Programming Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Company Description

is a global leader in delivering next-gen digital solutions that empower enterprises to excel in a digital-first world. With over 22 years of experience, 2200+ tech experts, and delivery hubs across the USA, India, Singapore, Mexico, and Ukraine, we have successfully completed 1000+ projects across industries such as healthcare, finance, automotive, retail, and e-learning. Our expertise spans key areas like AI, digital transformation, cloud enablement, and data analytics, helping clients achieve operational efficiency and competitive advantage. We pride ourselves on reducing costs, accelerating time-to-market, and creating scalable, cutting-edge technologies. Partnering with well-known platforms such as AWS and Microsoft Azure, we are committed to excellence and innovation.

Role Description

This is an on-site, full-time role based in Navi Mumbai for a Senior Data Engineer. The Senior Data Engineer will design, develop, and maintain robust data pipelines and ETL processes to support data warehousing and analytics. Responsibilities include data modeling, optimization of database structures, and creating scalable solutions to manage large data sets. The role involves collaborating with cross-functional teams to understand data needs, ensure data accuracy and efficiency, and implement best practices for data governance. The individual will play a key role in supporting decision-making processes through effective data integration and analysis.

Qualifications

  • Proficiency in Data Engineering and Data Modeling
  • Expertise in "Extract Transform Load (ETL)" processes and Data Warehousing
  • Experience with Data Analytics tools and techniques
  • Strong knowledge of SQL, database management systems, and data architecture
  • Familiarity with big data technologies such as Hadoop or Spark is a plus
  • Excellent problem-solving skills and the ability to work collaboratively in a team
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field is preferred
  • Prior experience in a similar role or enterprise-scale data projects

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