
Principal Big Data Developer
4 days ago
We are seeking a skilled Big Data Engineer to join our team.
About the Role:
- Design, develop and deploy large-scale data processing systems using Python and PySpark.
- Work with big data technologies such as Hadoop, Spark and NoSQL databases.
- Collaborate with cross-functional teams to identify business requirements and design data solutions.
- Maintain and optimize existing data processing pipelines for maximum efficiency.
- Develop and implement data quality checks and ensure high-quality data is available for analytics and reporting.
Key Requirements:
- 5+ years of overall IT experience with hands-on experience in big data technologies.
- Strong proficiency in Python and PySpark with experience building complex data processing applications.
- Experience working with Amazon EMR, Athena, Glue, Lambda, EC2, S3 and other AWS services.
- Knowledge of data warehousing concepts, columnar storage formats and compression techniques.
- Experience working with version control tools like Git.
Benefits:
- Opportunity to work with cutting-edge technology and be part of a dynamic team.
- Competitive salary and benefits package.
- Ongoing training and development opportunities.
Note:
- Good knowledge of data warehousing concepts – dimensions, facts, schemas- snowflake, star etc.
- Have worked with columnar storage formats- Parquet,Avro,ORC etc. Well versed with compression techniques – Snappy, Gzip.
- Good to have knowledge of AWS databases (atleast one) Aurora, RDS, Redshift, ElastiCache, DynamoDB.
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