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4 days ago
Job Title: Data Engineer
About the Role:We are seeking a skilled and experienced Data Engineer to join our team. As a Data Engineer, you will play a key role in designing, building, and maintaining large-scale data systems.
Key Responsibilities:- Design and develop scalable data architectures using AWS services such as Amazon EMR, Amazon Athena, and AWS Glue.
- Build efficient data pipelines using PySpark and Spark Dataframes in Python.
- Work with version control tools like Git to ensure smooth collaboration and code management.
- Analyze and optimize spark jobs that process huge volumes of data.
- Stay up-to-date with industry trends and best practices in big data technologies.
- 5+ years of overall IT experience, with hands-on experience in Big Data technologies.
- Hands-on experience in Python and PySpark.
- Knowledge of datawarehousing concepts, including dimensions, facts, schemas, snowflake, star, etc.
- Familiarity with columnar storage formats such as Parquet, Avro, ORC, etc., and compression techniques such as Snappy and Gzip.
- Good understanding of AWS databases, including Aurora, RDS, Redshift, ElastiCache, DynamoDB.
As a Data Engineer at our company, you will have the opportunity to work on challenging projects, collaborate with a talented team, and enjoy a competitive compensation package.
About Us:We are a leading organization in the field of big data analytics, committed to delivering innovative solutions that drive business growth.
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