Senior Data Engineer

Cloud and AWS Expertise:

• In-depth knowledge of AWS services related to data engineering: EC2, S3, RDS, DynamoDB, Redshift, Glue, Lambda, Step Functions, Kinesis, Iceberg, EMR, and Athena.
• Strong understanding of cloud architecture and best practices for high availability and fault tolerance.

Data Engineering Concepts:

• Expertise in ETL/ELT processes, data modeling, and data warehousing.
• Knowledge of data lakes, data warehouses, and big data processing frameworks like Apache Hadoop and Spark.
• Proficiency in handling structured and unstructured data.

Programming and Scripting:

• Proficiency in Python, Pyspark and SQLfor data manipulation and pipeline development.
• Expertise in working with data warehousing solutions like Redshift.