Senior Data Engineer
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Job Location:
Los Angeles, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Senior Data Engineer
Location: Los Angeles CA
Mandatory skills: Snowflake ADF DBT Informatica SQL Kafka
Location: Los Angeles CA
Mandatory skills: Snowflake ADF DBT Informatica SQL Kafka
Key Responsibilities
1. Lead and manage technical teams providing guidance and support in the implementation of snowflake azure data factory (adf) and data bricks projects.
2. Design develop and maintain data pipelines using snowflake azure data factory (adf) and data bricks to support business requirements.
3. Work closely with stakeholders to gather requirements identify opportunities for data analytics and propose data driven solutions.
4. Monitor and troubleshoot data pipelines ensuring data quality reliability and performance.
5. Stay updated with the latest trends and technologies in data management and analytics incorporating best practices into projects.
6. Collaborate with cross functional teams to integrate data solutions with existing systems and applications.
7. Provide technical expertise and mentorship to team members promoting a culture of learning and innovation.
Skill Requirements
1. Proficiency in snowflake including data modeling querying and performance optimization.
2. Strong experience in azure data factory (adf) for data integration and orchestration.
3. Handson knowledge of data bricks for data engineering data processing and machine learning.
4. Ability to design develop and optimize complex data pipelines for etl processes.
5. Strong problem-solving skills and the ability to troubleshoot data pipeline issues.
6. Excellent communication skills to interact with technical and nontechnical stakeholders effectively.
7. Strong leadership skills to guide and motivate technical teams towards project delivery and success.
8. Experience in agile methodologies and project management practices for efficient project execution.
Certifications: Relevant certifications in Snowflake Azure Data Factory (ADF) DataBricks are a plus
1. Lead and manage technical teams providing guidance and support in the implementation of snowflake azure data factory (adf) and data bricks projects.
2. Design develop and maintain data pipelines using snowflake azure data factory (adf) and data bricks to support business requirements.
3. Work closely with stakeholders to gather requirements identify opportunities for data analytics and propose data driven solutions.
4. Monitor and troubleshoot data pipelines ensuring data quality reliability and performance.
5. Stay updated with the latest trends and technologies in data management and analytics incorporating best practices into projects.
6. Collaborate with cross functional teams to integrate data solutions with existing systems and applications.
7. Provide technical expertise and mentorship to team members promoting a culture of learning and innovation.
Skill Requirements
1. Proficiency in snowflake including data modeling querying and performance optimization.
2. Strong experience in azure data factory (adf) for data integration and orchestration.
3. Handson knowledge of data bricks for data engineering data processing and machine learning.
4. Ability to design develop and optimize complex data pipelines for etl processes.
5. Strong problem-solving skills and the ability to troubleshoot data pipeline issues.
6. Excellent communication skills to interact with technical and nontechnical stakeholders effectively.
7. Strong leadership skills to guide and motivate technical teams towards project delivery and success.
8. Experience in agile methodologies and project management practices for efficient project execution.
Certifications: Relevant certifications in Snowflake Azure Data Factory (ADF) DataBricks are a plus
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
