AWS Data Engineer - Face To Face interview on (2nd August)

Face to face interview on 2nd august 2025 in Hyderabad

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Experience Required: Minimum 8  years

Job Summary: We are seeking a skilled Data Engineer with a strong background in data ingestion, processing, and storage. The ideal candidate will have experience working with various data sources and technologies, particularly in a cloud environment. You will be responsible for designing and implementing data pipelines, ensuring data quality, and optimizing data storage solutions.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines for data ingestion and processing using Python, Spark, and AWS services.

• Work with on-prem Oracle databases, batch files, and Confluent Kafka for data sourcing.

• Implement and manage ETL processes using AWS Glue and EMR for batch and streaming data.

• Develop and maintain data storage solutions using Medallion Architecture in S3, Redshift, and Oracle.

• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.

• Monitor and optimize data workflows using Airflow and other orchestration tools.

• Ensure data quality and integrity throughout the data lifecycle.

• Implement CI/CD practices for data pipeline deployment using Terraform and other tools.

• Utilize monitoring and logging tools such as CloudWatch, Datadog, and Splunk to ensure system reliability and performance.

• Communicate effectively with stakeholders to gather requirements and provide updates on project status.

Technical Skills Required:

• Proficient in Python for data processing and automation.

• Strong experience with Apache Spark for large-scale data processing.

• Familiarity with AWS S3 for data storage and management.

• Experience with Kafka for real-time data streaming.

• Knowledge of Redshift for data warehousing solutions.

• Proficient in Oracle databases for data management.

• Experience with AWS Glue for ETL processes.

• Familiarity with Apache Airflow for workflow orchestration.

• Experience with EMR for big data processing.

• Mandatory: Strong AWS data engineering skills.