About the Role

nWe are looking for a highly skilled AWS Data Engineer to design, build, and optimize scalable data solutions on AWS cloud. The ideal candidate should have solid expertise in data engineering, ETL/ELT development, cloud-native architectures, and modern data warehousing technologies.

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nKey Responsibilities

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- Design, develop, and maintain scalable data pipelines on AWS.
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- Build and optimize ETL/ELT processes for structured and unstructured data.
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- Develop data ingestion frameworks from multiple source systems.
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- Implement and manage cloud-based data lakes and data warehouses.
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- Ensure data quality, governance, security, and compliance standards.
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- Optimize data processing performance and cost efficiency within AWS.
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- Collaborate with Data Analysts, Data Scientists, and Business stakeholders to deliver data solutions.
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- Troubleshoot production issues and provide timely resolutions.
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- Implement CI/CD practices for data engineering workflows.
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- Create technical documentation and best practices for data architecture.
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nRequired Skills

nAWS Services

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- AWS Glue
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- Amazon S3
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- Amazon Redshift
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- AWS Lambda
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- AWS EMR
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- AWS Athena
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- AWS Step Functions
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- AWS CloudWatch
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- AWS IAM
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nData Engineering

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- Strong SQL and Python programming
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- Data Modeling (Star Schema, Snowflake Schema)
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- ETL/ELT Pipeline Development
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- Data Warehousing Concepts
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- Data Lake Architecture
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nBig Data Technologies

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- Apache Spark (PySpark)
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- Hadoop Ecosystem (Good to Have)
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- Kafka/Kinesis (Preferred)
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nDevOps & Automation

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- Git/GitHub/GitLab
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- CI/CD Pipelines
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- Terraform or CloudFormation
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- Docker (Preferred)
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nPreferred Qualifications

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- Experience with Snowflake, Databricks, or Microsoft Fabric is a plus.
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- Knowledge of Data Governance and Data Quality frameworks.
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- Experience working in Agile/Scrum environments.
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- AWS Certification (AWS Certified Data Engineer, Solutions Architect, or Developer Associate) preferred.
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📌 Data Engineer (Nagpur)
🏢 EXL
📍 Nagpur