
Senior Big Data Specialist
3 days ago
Synopsis:
As a seasoned data engineer, you will be responsible for designing and developing large-scale data processing systems using distributed computing frameworks like PySpark.
Our ideal candidate is an expert in Big Data technologies, with hands-on experience in Python, AWS, and Spark.
- Mandatory Skills:
- Python
- PySpark
- AWS
- Bonus Skills:
- Version control tools like Git
- Amazon EMR, Amazon Athena, AWS Glue
- Amazon Lambda, Amazon EC2, S3, SNS
Responsibilities:
- Design and develop large-scale data processing systems using PySpark
- Work on optimizing Spark jobs that process huge volumes of data
- Collaborate with cross-functional teams to ensure seamless integration of data pipelines
Requirements:
- 5+ years of overall IT experience
- Hands-on experience in Big Data technologies
- Knowledge of datawarehousing concepts – dimensions, facts, schemas- snowflake, star etc.
- Well-versed with columnar storage formats- Parquet,Avro,ORC etc. And compression techniques – Snappy, Gzip.
- Good to have knowledge of AWS databases (atleast one) Aurora, RDS, Redshift, ElastiCache, DynamoDB.
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