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GreenTree Advisory Services Pvt. Ltd.
AWS snowflake
GreenTree Advisory Services Pvt. Ltd. · posted 8 months ago
Gurugramna
About the role
AWS Snowflake Engineer
Organisation Name
EXL
Description
onsite
Job Description
AWS Snowflake Data Engineer
The AWS Snowflake Data Engineer will play a pivotal role in designing and implementing data pipelines that leverage AWS and Snowflake to support our data-driven decision-making. By integrating data from diverse sources and ensuring data integrity, you'll contribute to the scalability and performance of our analytics platform, driving insights that fuel business growth.
Key Responsibilities:
- Design and develop efficient data pipelines using AWS services like Glue, Lambda, and S3 to facilitate data ingestion and processing.
- Implement robust ETL processes to transform and load data into Snowflake, ensuring high performance and scalability.
- Collaborate with data scientists and analysts to understand data requirements and deliver relevant data solutions.
- Monitor and optimize existing data workflows to improve efficiency and reduce processing times.
- Automate data validation and cleansing processes to ensure data accuracy and integrity.
- Utilize PySpark to perform large-scale data processing and transformation tasks as required.
- Document data architecture and processes to facilitate knowledge sharing and compliance.
Requirements:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Proven experience working with AWS services, particularly concerning data storage and processing.
- Hands-on experience with Snowflake, including data modeling and query optimization.
- Strong proficiency in Python and PySpark for data processing and transformation.
- Understanding of database technologies, data warehousing concepts, and data governance practices.
- Excellent problem-solving skills with a keen attention to detail.
- Strong communication skills to facilitate collaboration within cross-functional teams.
Preferred Qualifications:
- Experience with data visualization tools such as Tableau, Looker, or Power BI.
- Familiarity with CI/CD pipelines for data engineering workflows.
- Knowledge of additional cloud platforms (Azure, Google Cloud) is a plus.
- Experience in machine learning or big data frameworks would be advantageous.