Hi Applicants,
We have an urgent demand for AWS Data Engineer. Please go through the Job Description below and share your resume if you feel interested.
Requirement for AWS Data Engineer
Experience-5+ Years
Location-Hyderabad
Notice Period-Immediate
Job Description
Key Responsibilities
- Design, Develop, and Maintain Redshift Data Warehouses:
- Architect, build, and optimize Redshift clusters for high performance and scalability.
- Design and implement data models, schemas, and ETL/ELT pipelines.
- Develop and maintain complex SQL queries and stored procedures.
- Ensure data quality and integrity within the Redshift environment.
- Data Loading and Transformation:
- Develop and implement efficient data loading strategies from various sources (e.g., databases, files, APIs).
- Design and implement data transformation and cleansing processes.
- Optimize data loading performance and minimize data latency.
- Performance Tuning and Optimization:
- Monitor and analyze Redshift cluster performance.
- Identify and troubleshoot performance bottlenecks.
- Implement performance tuning strategies, such as indexing, partitioning, and query optimization.
- AWS Integration:
- Leverage other AWS services, such as S3, Glue, EMR, and Lambda, to enhance data warehousing solutions.
- Integrate Redshift with other cloud-based applications and services.
- Security and Compliance:
- Implement and maintain data security measures, including access control, encryption, and data masking.
- Ensure compliance with relevant data privacy regulations (e.g., GDPR, CCPA).
- Collaboration and Communication:
- Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs.
- Communicate technical information effectively to both technical and non-technical audiences.
Required Skills
- Strong proficiency in SQL
- Experience with AWS Redshift
- Knowledge of data warehousing concepts and best practices
- Experience with ETL/ELT processes
- Experience with data modeling and schema design
- Understanding of cloud computing concepts and AWS ecosystem
- Experience with scripting languages (e.g., Python, Shell)
- Strong analytical and problem-solving skills
Desired Skills
- Experience with AWS services like S3, Glue, EMR, Lambda
- Experience with data visualization tools (e.g., Tableau, Power BI)
- Experience with data quality and validation tools
- Experience with Agile development methodologies
- AWS certifications (e.g., AWS Certified Data Analytics - Specialty)
