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5+ years of experience in data engineering, data warehousing, and big data processing.
Strong expertise in Python and SQL for data manipulation, automation, and pipeline development.
Hands-on experience with Kafka for real-time data ingestion and processing.
Deep understanding of AWS data services (Redshift, Glue, S3, Lambda, Kinesis, Athena, DynamoDB, etc.).
Experience in data modeling, schema design, and ETL best practices.
Familiarity with infrastructure as code (IaC) tools like Terraform or CloudFormation is a plus.
Strong problem-solving skills with the ability to debug complex data workflows.
Mandate Skill - PySpark + Python + AWS (Glue, Lambda, EMR, etc.) + SQL.
Role: Data Engineer
Industry Type: Analytics / KPO / Research
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: Software Development
Education
UG: Any Graduate
PG: Any Postgraduate
Our Staffing Expertise extends to a wide range of industries. We connect employers with highly skilled job seekers. With staffing consultants across India, ANZ and APAC, its easy to begin your Candidate Search today.
Job ID: 107295731
Skills:
Python, Pyspark, Aws Services, Etl Process, Kafka, Dynamodb, Data Modeling, Schema Design
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