Required Skills

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 :- 5th Aug 2025

JOB DETAIL

● Analyze and interpret complex data sets. Ability to identify data anomalies and resolve data issues

● Understand specific business processes and domain concepts and relate them to data subject domains

● Collaborate with Data Leads, Data Analysts and QA analysts to validate requirements, participate in user requirement sessions

● Perform tests and validate data flows and prepare ETL processes according to business requirements

● Perform ETL tuning and SQL tuning

● Ability to document data flows representing business logic in ETL routines

● Design and implement data conversion strategy from legacy to new platforms

● Perform design validation, reconciliation, and error handling in data load processes

● Design and prepare technical specifications and guidelines including ER diagrams and related documents Qualifications

● Must be well versed with Data warehousing concepts including design patterns (Star schemas, Snowflake design schemas). Must be aware of data modeling concepts including the data modeling Normal forms

● Knowledge of AWS Infrastructure including S3, SNS, Ec2, CloudWatch and RDS

● 8-9 years working in ETL/Data transformation projects with one or more related products such as Informatica or Talend or Microsoft SSIS

● 8+ years working in business intelligence, data warehousing initiatives

● Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases like Oracle or Ms Sql Server or Vertica.

● Good to have at least 1+ years working with Matillion ELT tool and Snowflake Database

● Good to have experience in building AWS Data Pipelines using Python or Spark, SparkSQL in any of Cloud Environments (AWS / Azure / Google).

● Good to have - Experience with any of the NoSQL datastores such as ElasticSearch, MongoDB, DynamoDB, Cassandra

Company Information