
Data Engineer-AWS
- Pune, Maharashtra
- Rs. 20,00,000 per year
- Permanent
- Full-time
- Design, develop, and maintain scalable and efficient data pipelines using industry-standard tools and technologies.
- Design, implement, and optimize complex SQL queries to extract, transform, and load (ETL) data from various sources with data Quality and Reliability.
- Develop and maintain robust data models, including star and snowflake schemas, to support analytics and reporting needs.
- Call third party APIs to fetch data using python and perform ETL on the same.
- Monitor and improve the performance of existing data pipelines and workflows, addressing any issues related to data quality or efficiency.
- Designed and maintained SQL Server databases, ensuring high availability and performance.
- Contribute to the overall system design and architecture, ensuring scalability and maintainability.
- Stay current with emerging trends and technologies in data engineering and propose new solutions to enhance the data infrastructure.
- Advanced SQL skills, with experience in writing optimized and complex queries for data extraction and transformation.
- Strong experience with AWS cloud services or similar cloud Services (e.g.,S3, Lambda, Glue, Eventhub, EC2, IAM).
- Familiarity with Hadoop, Spark, or similar big data processing frameworks.
- Proficiency in Python or other programming languages for data manipulation and data automation.
- Proficiency with ETL tools (e.g., Glue, Apache Airflow, Talend, Informatica) or custom ETL pipeline development.
- Third party API calling with Postman, swagger or similar tools and implement calling in python.
- Experience with data warehousing solutions such as Snowflake, Amazon Redshift, or Google BigQuery.
- Expertise in SQL Server databases, including design, optimization, and management.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and the ability to work collaboratively in a remote team environment.
- ETL(Extract, Transform, Load) - 2 Years
- Python - 3 Years
- AWS - 3 Years
- Data Warehousing - 2 Years
- SQL - 2 Years
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