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Job Type

Contractual

Job Description

Company Description

Founded in 2000, LanceSoft, Inc. specializes in providing exceptional Global Workforce Solutions and IT Services to a diverse portfolio of clients, including Fortune-ranked companies. With headquarters in Herndon, VA, and 32+ offices across regions like North America, Europe, Asia, and Australia, LanceSoft is committed to delivering unparalleled staffing and engineering solutions. Its services include temporary and permanent staffing, recruitment process outsourcing, software development, and project management. With a team of over 5,000 professionals and nine delivery centers in India, LanceSoft partners with 110+ global clients from various industries, including healthcare, technology, media, and energy. The company's mission is to connect businesses with the right talent and individuals with fitting opportunities seamlessly and inclusively.

Role Description

This on-site, contract AWS Data Engineer role is located in Delhi, NY. The AWS Data Engineer will develop scalable data pipelines and data infrastructure on AWS while ensuring its optimization, security, and performance. The engineer will design, test, and maintain ETL (Extract, Transform, Load) processes to facilitate data integration and transformation between diverse systems. Additional responsibilities include debugging, troubleshooting, and effectively collaborating with cross-functional teams to support data-driven strategies for the organization.

Qualifications

  • Proficiency in AWS services, including but not limited to Lambda, S3, Redshift, and DynamoDB
  • Hands-on experience in data engineering tools and technologies such as ETL solutions, Apache Spark, and SQL
  • Knowledge of data modeling, database design, and performance optimization
  • Familiarity with data integration, data transformation, and data pipeline design
  • Strong understanding of Python, Java, or other scripting and programming languages
  • Ability to collaborate with technical teams and non-technical stakeholders effectively
  • Experience with big data solutions and cloud migration projects is a plus
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related fields

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