Data Engineer

StatusNeo

3+ years of experience with aws services including sqs, s3, step functions, efs, lambda, and opensearch.

strong experience in api integrations, including experience working with large-scale api endpoints.

proficiency in pyspark for data processing and parallelism in large-scale ingestion pipelines.

experience with aws opensearch apis for managing search indices.

terraform expertise for automating and managing cloud infrastructure.

hands-on experience with aws sagemaker, including working with machine learning models and endpoints.

strong understanding of data flow architectures, document stores, and journal-based systems.

experience in parallelizing data processing workflows to meet strict performance and sla requirements.

familiarity with aws tools like cloudwatch for monitoring pipeline performance.

additional preferred qualifications:

strong problem-solving and debugging skills in distributed systems.

prior experience in optimizing ingestion pipelines with a focus on cost-efficiency and scalability.

solid understanding of distributed data processing and workflow orchestration in aws environments.

soft skills:

strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

ability to work in a fast-paced environment and deliver high-quality results under tight deadlines.

analytical mindset, with a focus on performance optimization and continuous improvement.

• Experience

  3 - 9 Years

• No. of Openings

  3

• Education

  Professional Degree

• Role

  Data Engineer

• Industry Type

  IT-Hardware & Networking / IT-Software / Software Services

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Full Time

• Work Location Type

  Work from Office