
Big Data Developer
2 days ago
Position: Big Data Engineer
Experience: 5+ Years
Location: ( Gurugram / Bangalore )
Joining: Immediate Joiner
Budget=16.5 LPA
Job Summary:
We're seeking an experienced Senior Big Data Engineer with 5+ years of experience in designing, developing, and implementing large-scale data systems using Redshift, AWS, Spark, and Scala. The ideal candidate will have expertise in building data pipelines, data warehousing, and data processing applications.
Key Responsibilities:
- Data Warehousing:
- Design, develop, and maintain large-scale data warehouses using Amazon Redshift
- Optimize Redshift cluster performance, scalability, and cost-effectiveness
- Data Pipelines:
- Build and maintain data pipelines using Apache Spark, Scala, and AWS services like S3, Glue, and Lambda
- Ensure data quality, integrity, and security across the data pipeline
- Data Processing:
- Develop and optimize data processing applications using Spark, Scala, and AWS services
- Work with data scientists and analysts to develop predictive models and perform advanced analytics
- AWS Services:
- Leverage AWS services like S3, Glue, Lambda, and IAM to build scalable and secure data systems
- Ensure data systems are highly available, scalable, and fault-tolerant
- Troubleshooting and Optimization:
- Troubleshoot and optimize data pipeline performance issues
- Ensure data systems are optimized for cost, performance, and scalability
Requirements:
- Experience: 5+ years of experience in big data engineering or a related field
- Technical Skills:
- Proficiency in Amazon Redshift, Apache Spark, and Scala
- Experience with AWS services like S3, Glue, Lambda, and IAM
- Knowledge of data processing frameworks like Spark and data storage solutions like S3 and Redshift
- Data Architecture: Strong understanding of data architecture principles and design patterns
- Problem-Solving: Excellent problem-solving skills and attention to detail
Preferred Qualifications:
- Certifications: AWS Certified Big Data - Specialty or similar certifications
- Machine Learning: Familiarity with machine learning frameworks like Spark MLlib or TensorFlow
- Agile Methodology: Experience working in agile development environments
- Data Governance: Experience with data governance, data quality, and data security
What We Offer:
- Competitive salary and benefits package
- Opportunities for professional development and growth
- Collaborative and dynamic work environment
- Flexible work arrangements
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