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Product Data Engineer
Loyalty Juggernaut
posted 2mon ago
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Flexible timing
Key skills for the job
Job Description
- Build the infrastructure required for optimal extraction, transformation, and loading of data from various sources using SQL and AWS big data technologies.
- Create and maintain optimal data pipeline architecture.
- Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Work with stakeholders, including the Technical Architects, Developers, Product Owners, and Executives, to assist with data-related technical issues and support their data infrastructure needs.
- Create tools for data management and data analytics that can assist them in building and optimizing our product to become an innovative industry leader.
- 2 to 5 years of relevant work experience.
- Hands-on experience in Python language and working on large projects.
- Experience with at least one popular Python framework (like Django/Flask).
- Experience with relation SQL databases, NoSQL databases like DynamoDB/Couchbase/MongoDB is a plus.
- Hands-on experience using Cloud Dataware houses like AWS Redshift, GBQ, etc.
- Experience in building and optimizing big data pipelines, architectures and data sets.
- Experience with data pipeline and workflow management tools like Airflow.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift, and AWS Batch would be an added advantage.
- Experience in any ETL tool and the ability to build and modify ETL jobs will be an added advantage.
- Understanding flat files, importing & exporting data, and building and maintaining DataLake (DWH) is a must.
- Ability to debug the data quality issues and find the root cause, setting up alerts for proactive monitoring.
- Proficiency in optimizing the SQL queries and ETL processes using database core features like indexes, views, and temporary tables.
- Ability to understand the business domain, underlying data structure, and company s big-picture data needs.
Employment Type: Full Time, Permanent
Functional Areas: Analytics & Business Intelligence
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