We are seeking a highly skilled and experienced Big Data Engineer (Scala & AWS Mandatory) to join our dynamic team. The ideal candidate will have a strong background in cloud-based data engineering with at least 4 years of hands-on experience in AWS. You will be responsible for designing, building, and maintaining scalable data pipelines and solutions using modern data engineering tools and frameworks.
Key Responsibilities:
- Design and implement robust, scalable, and high-performance data pipelines on AWS.
- Develop and maintain ETL workflows using Airflow.
- Write efficient and optimized code in Python for data processing and transformation.
- Work with SQL to query, manipulate, and analyze large datasets.
- Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders.
- Ensure data quality, integrity, and security across all data platforms.
- Monitor and troubleshoot data pipeline performance and reliability.
Mandatory Skills:
- Extensive AWS experience (minimum 4 years) including services like S3, Lambda, Glue, Redshift, EMR, etc.
- Scala strong programming skills for data manipulation and automation.
- SQL advanced querying and optimization techniques.
Share your resume over [Confidential Information] if you have mandatory skills.
