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Product Data Engineer
Loyalty Juggernaut
posted 5mon ago
Job Role Insights
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.
You would make a GREAT FIT if you have:
- 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
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25%
24%
13%
13%
25% candidates got the interview through other sources.
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What people at Loyalty Juggernaut are saying
What Loyalty Juggernaut employees are saying about work life
based on 40 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Loyalty Juggernaut Benefits
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