AWS Data Engineer

2 weeks ago

Rajkot, Gujarat, India Qubryx Full time
AWS Data Engineer

Location: Remote (India)

Experience: 3+ Years

Employment Type: Full-Time

About the Role:

We are seeking a talented AWS Data Engineer with at least 3 years of hands-on experience in building and managing data pipelines using AWS services. This role involves working with large-scale data, integrating multiple data sources (including sensor/IoT data), and enabling efficient, secure, and analytics-ready solutions. Experience in the energy industry or working with time-series/sensor data is a strong plus.

Key Responsibilities:

- Build and maintain scalable ETL/ELT data pipelines using AWS Glue, Redshift, Lambda, EMR, S3, and Athena
- Process and integrate structured and unstructured data, including sensor/IoT and real-time streams
- Optimize pipeline performance and ensure reliability and fault tolerance
- Collaborate with cross-functional teams including data scientists and analysts
- Perform data transformations using Python, Pandas, and SQL
- Maintain data integrity, quality, and security across the platform
- Use Terraform and CI/CD tools (e.g., Azure DevOps) for infrastructure and deployment automation
- Support and monitor pipeline workflows, troubleshoot issues, and implement fixes
- Contribute to the adoption of emerging tools like AWS Bedrock, Textract, Rekognition, and GenAI solutions

Required Skills and Qualifications:

- Bachelor's or Master's degree in Computer Science, Information Technology, or related field
- 3+ years of experience in data engineering using AWS
- Strong skills in:
- AWS Glue, Redshift, S3, Lambda, EMR, Athena
- Python, Pandas, SQL
- RDS, Postgres, SAP HANA
- Solid understanding of data modeling, warehousing, and pipeline orchestration
- Experience with version control (Git) and infrastructure as code (Terraform)

Preferred Skills:

- Experience working with energy sector data or IoT/sensor-based data
- Exposure to machine learning tools and frameworks (e.g., SageMaker, TensorFlow, Scikit-learn)
- Familiarity with big data technologies like Apache Spark, Kafka
- Experience with data visualization tools (Tableau, Power BI, AWS QuickSight)
- Awareness of data governance and catalog tools such as AWS Data Quality, Collibra, and AWS Databrew
- AWS Certifications (Data Analytics, Solutions Architect

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