Our client is seeking an experienced AWS Data Engineer with 4+ years of hands-on Data Engineering experience. The ideal candidate should have strong expertise in Python, PySpark, SQL, and AWS services, with experience building scalable data pipelines and cloud-based data solutions.

nThis role focuses on data ingestion, transformation, storage, and analytics, with an emphasis on data quality, reliability, performance, and cost optimization.

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nKey Responsibilities

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- Design, develop, and maintain scalable data pipelines using Python and PySpark.
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- Build and optimize ETL/ELT workflows for data ingestion, transformation, and processing.
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- Write and optimize complex SQL queries for data transformation, validation, and analytics.
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- Build and manage cloud-based data solutions using AWS Glue, S3, Redshift, Athena, and Lambda, with SNS, SQS, CloudWatch, EventBridge, and API Gateway supporting integration, automation, and monitoring.
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- Ensure data quality and troubleshoot pipelines to improve reliability, performance, and cost efficiency.
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- Collaborate with cross-functional teams to translate business requirements into scalable data solutions.
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nRequired Skills

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- 4+ years of hands-on experience in Data Engineering.
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- Strong understanding of data ingestion, transformation, ETL/ELT, data quality, data modeling, and pipeline optimization.
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- Strong hands-on experience with Python and PySpark for data processing.
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- Strong practical knowledge of SQL, including complex queries and query optimization.
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- Strong hands-on experience with AWS Glue, S3, Redshift, Athena, and Lambda, along with working knowledge of SNS, SQS, CloudWatch, EventBridge, and API Gateway.
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- Strong problem-solving, communication, and collaboration skills.
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nNice-to-Have Skills

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- Experience with Amazon Kinesis or Apache Kafka for streaming data pipelines.
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- Exposure to Amazon MWAA or Apache Airflow for workflow orchestration.
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- Familiarity with AWS IAM, Lake Formation, and data governance practices.
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- Experience with CI/CD and infrastructure as code using Terraform or AWS CloudFormation.
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- Experience with large-scale data processing, performance tuning, and AWS cost optimization.
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nAbout YMinds.AI

nYMinds.AI is a technology and talent solutions company focused on connecting businesses with high-quality technology professionals. We help organizations build solid engineering teams by identifying, evaluating, and delivering skilled talent across emerging and established technology domains.

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nKeywords

nAWS Data Engineer, Python, PySpark, SQL, Glue, S3, Redshift, Athena, Lambda, SNS, SQS, CloudWatch, EventBridge, API Gateway, ETL/ELT

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nHashtags

n#AWSDataEngineer #AWS #Python #PySpark #SQL #AWSGlue #DataEngineering #Hiring #YMindsAI

📌 AWS Data Engineer (4+ Years) | Remote | Immediate to 15 Days Joiners Only (Bengaluru)
🏢 YMinds.AI
📍 Bengaluru