Required Skills

Snowflake Redshift AWS GCP

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 :- 11th Dec 2023

JOB DETAIL

We are looking for a Senior Data Engineer to join our team and help us build and maintain our data infrastructure and pipelines. As a Senior Data Engineer, you will be responsible for designing, developing, and implementing scalable and reliable data solutions to support our business needs. You will also work closely with other engineers and data scientists to ensure that our data is clean, accessible, and secure.

Responsibilities:
Design, develop, and implement scalable and reliable data pipelines and architectures
Work with data scientists and analysts to understand their data needs and develop solutions to meet those needs
Build and maintain data warehouses and data marts
Optimize data pipelines and architectures for performance and efficiency
Implement data security and governance measures
Monitor and troubleshoot data pipelines and architectures
Stay up-to-date on the latest data engineering technologies and trends

Qualifications:
8+ years of experience in a data engineering role
Strong experience with SQL, Python, and other data engineering technologies
Experience with cloud computing platforms such as AWS, Azure, or GCP
Experience with big data technologies such as Hadoop, Spark, and Kafka
Experience with data warehousing and data mart technologies such as Snowflake, Redshift, and BigQuery
Experience with data security and governance best practices
Excellent problem-solving and analytical skills
Strong communication and collaboration skills

Bonus Points:
Experience with machine learning and deep learning
Experience with data visualization tools such as Tableau and Power BI
Experience with data streaming technologies such as Kafka and Flink

Company Information