Data Engineering Lead (AWS Snowflake)
Data Science Analytics & Machine Learning
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Job Description
- As a Data Engineering Lead with 9-15 years of experience, you will be responsible for designing, developing, and maintaining scalable data architectures and pipelines for large-scale data platforms. Your expertise in AWS and Snowflake will be crucial in building and optimizing Data Lakes, implementing real-time and batch data processing, and utilizing AWS services for efficient data integration, processing, and analytics. You will collaborate with cross-functional teams to deliver end-to-end data engineering solutions aligned with business goals.
- Design, develop, and maintain scalable data architectures and pipelines for large-scale data platforms.
- Build and optimize Data Lakes to unify structured and unstructured data sources.
- Implement real-time and batch data processing using Snowflake features like Streams, Tasks, and Snowpipe.
- Utilize AWS services (EC2, Glue, Lambda, S3, Athena, MWAA) for data integration, processing, and analytics.
- Develop and manage PySpark/Python-based workflows for scalable transformations and automation.
- Perform data modeling, performance tuning, and optimization in Snowflake.
- Collaborate with cross-functional teams to deliver end-to-end data engineering solutions aligned with business goals.
- Strong expertise in AWS and Snowflake
- Proficiency in AWS Glue
- Hands-on experience with PySpark
- Strong programming skills in Python
- Experience with distributed data processing pipelines
- Knowledge of Airflow/MWAA for orchestration
Key Responsibilities:
Primary Skills:
Additional Skills:
- Exposure to advanced analytics and secure data sharing,
Skills
PythonPySparkAWS GlueSnowflakeAWSPythonIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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