
Senior Big Data Architect Position
2 weeks ago
- Hands-on experience with AWS, Python, and PySpark
- 5+ years of overall IT experience, including hands-on experience in Big Data technologies
- Ability to build pySpark applications using Spark Dataframes in Python
- Experience in optimizing spark jobs that process huge volumes of data
- Proficiency in version control tools like Git
- Hands-on experience with Amazon's Analytics services like Amazon EMR, Amazon Athena, AWS Glue
- Knowledge of Amazon's Compute services like Amazon Lambda, Amazon EC2, and Amazon's Storage service like S3
- Good understanding of data warehousing concepts, including dimensions, facts, schemas- snowflake, star, etc.
- Experience with columnar storage formats- Parquet, Avro, ORC, etc. Well-versed with compression techniques – Snappy, Gzip
- Knowledge of AWS databases (at least one) Aurora, RDS, Redshift, ElastiCache, DynamoDB
- Opportunity to work on high-profile projects
- Collaborative and dynamic work environment
- Professional growth and development opportunities
As a Big Data Architect, you will be responsible for designing and implementing large-scale data processing systems. You will work closely with cross-functional teams to ensure seamless integration and deployment of data solutions.
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