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3 Sculpt Soft Solutions India Jobs
Senior Data Engineer (AWS)
Sculpt Soft Solutions India
posted 6hr ago
Job Role Insights
Key skills for the job
Job Description
Responsibilities
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.
Requirements
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.
Good to have
Knowledge of Numpy ,Pandans and similar Python libraries
HR Department
Employment Type: Full Time, Permanent
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