Title-Data Engineer
Client-Jeferries
Location-Jersey city NJ (In person client interview will happen)
Rate-$65-70/hr
Mandatory Skills- Data Engineer (SnowflakePythonAWS)
JD- Job Description
- We are looking for an experienced Data Engineer with experience in Snowflake Python AWS Oracle Airflow & TWS to join our team!
- The ideal candidate will have the desired requirements shown below along with a willingness to learn new and exciting technologies.
- Responsibilities include: Design develop and maintain scalable ETL/ELT pipelines for structured and unstructured datasets.
- Implement and optimize data storage retrieval and transformation processes in Snowflake and Oracle databases.
- Cloud migrations for data pipelines using AWS and Snowflake Participating in all aspects of the software development lifecycle for Snowflake solutions including planning requirements development testing and quality assurance.
- Integrate and manage workload orchestration using Airflow and Tivoli Workload Scheduler (TWS) Create robust data processing scripts and tools in Python with a strong emphasis on modular testable and reusable code. Write complex queries and stored procedures for high-volume high-performance database applications.
- Optimize query performance and troubleshoot database issues. Collaborating with cross-functional teams to define design and ship new features.
- Troubleshooting incidents identify root causes fix and document problems and implement preventive measures.
Qualifications:
- Working experience on Snowflake Platform (Certification preferred)
- Strong SQL and PL/SQL
- Working Cloud knowledge on AWS
- Working Snowflake knowledge with Designing data warehouses
- Strong hands-on experience in Python with ETL concepts
- Good understanding on Metadata and data lineage
- Hands on knowledge on SQL Analytical functions Views Materialized Views
- Strong knowledge and hands-on experience in SQL Unix shell scripting
- Strong understanding of data warehouse concepts dimensional modeling and ETL best practices
Title-Data Engineer Client-Jeferries Location-Jersey city NJ (In person client interview will happen) Rate-$65-70/hr Mandatory Skills- Data Engineer (SnowflakePythonAWS) JD- Job Description We are looking for an experienced Data Engineer with experience in Snowflake Python AWS Oracle Airflow & T...
Title-Data Engineer
Client-Jeferries
Location-Jersey city NJ (In person client interview will happen)
Rate-$65-70/hr
Mandatory Skills- Data Engineer (SnowflakePythonAWS)
JD- Job Description
- We are looking for an experienced Data Engineer with experience in Snowflake Python AWS Oracle Airflow & TWS to join our team!
- The ideal candidate will have the desired requirements shown below along with a willingness to learn new and exciting technologies.
- Responsibilities include: Design develop and maintain scalable ETL/ELT pipelines for structured and unstructured datasets.
- Implement and optimize data storage retrieval and transformation processes in Snowflake and Oracle databases.
- Cloud migrations for data pipelines using AWS and Snowflake Participating in all aspects of the software development lifecycle for Snowflake solutions including planning requirements development testing and quality assurance.
- Integrate and manage workload orchestration using Airflow and Tivoli Workload Scheduler (TWS) Create robust data processing scripts and tools in Python with a strong emphasis on modular testable and reusable code. Write complex queries and stored procedures for high-volume high-performance database applications.
- Optimize query performance and troubleshoot database issues. Collaborating with cross-functional teams to define design and ship new features.
- Troubleshooting incidents identify root causes fix and document problems and implement preventive measures.
Qualifications:
- Working experience on Snowflake Platform (Certification preferred)
- Strong SQL and PL/SQL
- Working Cloud knowledge on AWS
- Working Snowflake knowledge with Designing data warehouses
- Strong hands-on experience in Python with ETL concepts
- Good understanding on Metadata and data lineage
- Hands on knowledge on SQL Analytical functions Views Materialized Views
- Strong knowledge and hands-on experience in SQL Unix shell scripting
- Strong understanding of data warehouse concepts dimensional modeling and ETL best practices
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