
Expert AWS Data Architect
22 hours ago
As a seasoned AWS data engineer, you will play a pivotal role in designing and developing large-scale data pipelines and applications using AWS services and Python/PySpark.
About the Job
We are seeking an experienced professional to join our team as an AWS Data Engineer. The successful candidate will be responsible for architecting, building, and maintaining complex data systems using AWS cloud services.
Key Responsibilities
- Design, develop, test, and support data pipelines and applications using Python, PySpark, and SQL.
- Develop strong expertise in AWS services like EC2, S3, EMR, Glue, and Redshift.
- Implement robust ETL pipelines using PySpark, focusing on performance, scalability, and data quality.
- Lead projects, including planning, execution, testing, and documentation, and handle customer interaction as key point of contact.
- Translate business requirements into technical solutions using AWS cloud services and Python/PySpark.
- Utilize deep understanding of Python and its data science libraries, along with PySpark for distributed data processing.
Requirements
- 5+ years of experience in data integration and pipeline development.
- 5+ years of Experience with AWS Cloud on data integration with a mix of Apache Spark, Glue, Kafka, Kinesis, and Lambda in S3 Redshift, RDS, MongoDB/DynamoDB ecosystems Databricks, Redshift experience is a major plus.
- 3+ years of experience using SQL in related development of data warehouse projects/applications (Oracle & SQL Server).
- Strong real-life experience in python development especially in PySpark in AWS Cloud environment.
- Strong SQL and NoSQL databases like MySQL, Postgres, DynamoDB, Elasticsearch Workflow management tools like Airflow.
AWS Data Engineer- High-Level Requirements
- Experience with Snowflake, Palantir Foundry.
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