Proven experience building enterprise-level data engineering solutions on AWS, supporting large-scale data initiatives.
Proficiency in Python and hands-on experience with data orchestration tools (Apache Airflow, AWS Step Functions, or equivalent).
Solid hands-on experience of distributed data frameworks and streaming technologies such as Apache Spark, Kafka, and Hive.
Hands-on expertise with AWS ecosystem including S3, Lambda, Kinesis, Redshift, EMR, Glue and SQS.
Strong data modeling skills and experience designing ETL/ELT pipelines for batch and real-time ingestion.
Familiarity with CI/CD pipelines, version control, and infrastructure-as-code tools (CloudFormation, Terraform).
Exceptional analytical skills with a proactive, problem-solving approach and a strong customer orientation.
Excellent communication and collaboration skills suited for a consulting environment involving clients and internal teams.
* Bachelor's or higher degree in Computer Science, Information Systems, Engineering or related fields; AWS certification(s) highly desirable.
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