Required Skills

Senior Data Engineer

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 29th Nov 2023

JOB DETAIL

  • Education: Bachelor's degree in Computer Science, Computer Engineering, or relevant field
  • Work Experience: 7+ years of experience in architecting, designing and building Data Engineering solutions and Data Platforms
  • Experience in building Data Warehouses/Data Platforms on Redshift/Snowflake
  • Extensive experience building real-time data processing solutions.
  • Extensive experience building highly optimized data pipelines and data models for big data processing.
  • Experience working with data acquisition and transformation tools such as Fivetran and DBT
  • Experience building highly optimized & efficient data engineering pipelines using Python, PySpark, Snowpark
  • Experience working with distributed data processing frameworks such as Apache Hadoop, or Apache Spark or Flink
  • Experience working with real-time data streams processing using Apache Kafka, Kinesis or Flink
  • Experience working with various AWS Services (S3, EC2, EMR, Lambda, RDS, DynamoDB, Redshift, Glue Catalog)
  • Expertise in Advanced SQL programming and SQL Performance Tuning
  • Experience with version control tools such as GitHub or Bitbucket.
  • Expert level understanding of dimensional modeling techniques
  • Excellent communication, adaptability, and collaboration skills
  • Excellent analytical skills, strong attention to detail with emphasis on accuracy, consistency, and quality
  • Strong logical and problem-solving skills with critical thinking


Good to Have:

  • Experience in designing and building applications using Container and serverless technologies
  • Experience working with fully automated workflow scheduling and orchestration services such as Apache Airflow
  • Experience working with semi-structured, unstructured data, No SQL databases
  • Experience with CI/CD using GitHub Actions or Jenkins
  • Experience designing and building APIs
  • Experience working with low-code, no-code platforms

Company Information