Big Data Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
- Develop and maintain ETL pipelines and data integration services using Python and SQL
- Work with AWS services (S3 DynamoDB Lambda Glue) and NoSQL databases (MongoDB DynamoDB)
- Design optimize and validate data flows ensuring data quality across systems
- Collaborate with Senior engineers on architecture and performance improvements
- Troubleshoot production data issues and perform root cause analyses.
- Contribute to the continuous improvement of development practices and performance monitoring
Qualifications :
- 2-4 years of experience as a Data Engineer or Back-end Developer
- Strong hands-on experience with Python and SQL
- Experience with AWS data services (S3 DynamoDB Lambda Glue)
- Familiarity with NoSQL databases and API integrations
- Basic understanding of PySpark or similar distributed frameworks
- Analytical mindset and proactive problem-solving skills
- Fluent in English (Upper-Intermediate level or higher)
WILL BE A PLUS
- Experience with Airflow or other orchestration tools
- Interest in big data performance tuning and cloud optimization
Additional Information :
PERSONAL PROFILE
- Strong communication and collaboration skills
- Self-motivated responsible and able to work independently
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
At Sigma Software, we are involved with the clients team to contribute to the design and development of a technical solution for their tokenized domain reservation platform. We started by assigning a software architect to design the smart contracts and integrate blockchain into the s ... View more
