Bangalore, Karnataka, India
Information Technology
Full-Time
The IT Firm
Overview
Job Title : AWS Data Engineer
Location : Hyderabad (Hybrid)
Experience Required : 6 to 7 Years
Employment Type : Permanent
Job Description
We are looking for a highly skilled and experienced AWS Data Engineer to join our growing data engineering team. The ideal candidate will have a strong background in building scalable data pipelines, data integration, and hands-on experience with AWS cloud services. You will play a critical role in designing, developing, and optimizing data solutions to support analytics and business intelligence efforts across the Responsibilities :
Location : Hyderabad (Hybrid)
Experience Required : 6 to 7 Years
Employment Type : Permanent
Job Description
We are looking for a highly skilled and experienced AWS Data Engineer to join our growing data engineering team. The ideal candidate will have a strong background in building scalable data pipelines, data integration, and hands-on experience with AWS cloud services. You will play a critical role in designing, developing, and optimizing data solutions to support analytics and business intelligence efforts across the Responsibilities :
- Design, develop, and maintain scalable and robust data pipelines using AWS cloud-native tools.
- Build and manage ETL/ELT processes to ingest and transform structured and unstructured data.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver reliable datasets.
- Implement best practices for data engineering, including data quality, governance, testing, and security.
- Monitor data workflows and troubleshoot issues across the pipeline lifecycle.
- Work on performance tuning, scalability, and cost optimization of data processes on AWS.
- Create and maintain technical documentation related to data pipelines and infrastructure.
- Contribute to continuous integration and deployment (CI/CD) automation for data Skills :
- 6 to 7 years of overall experience in data engineering.
- Strong expertise in AWS data services such as AWS Glue, Redshift, S3, Lambda, Step Functions, and Athena.
- Proficiency in Python or Scala for ETL development and data transformation.
- Solid experience with SQL for data manipulation and querying.
- Experience with data lake and data warehouse architecture.
- Good understanding of data modeling concepts and performance tuning.
- Hands-on experience with version control tools like Git and CI/CD pipelines.
- Familiarity with tools like Airflow, DBT, or similar workflow orchestration frameworks is a plus.
- Excellent problem-solving, analytical, and communication to Have :
- Experience with big data technologies like Spark, Kafka, or Hadoop.
- Exposure to DevOps practices and infrastructure-as-code tools like Terraform or CloudFormation.
- Knowledge of data security, GDPR, and compliance Qualification :
- Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or a related field.
- Work with a dynamic and collaborative team focused on cutting-edge data solutions.
- Opportunity to contribute to high-impact projects in a cloud-first environment.
- Flexible hybrid working model with a long-term career growth path.
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