
AWS Engineer
3 weeks ago
Responsibilities Include
- Hands-on experience with Hadoop, Spark with Python on AWS.
- Provide technical support for data engineering systems, addressing user queries, and resolving issues related to data pipelines, AWS services, Snowflake, Hadoop, and Spark.
- Investigate and troubleshoot issues in data pipelines, identifying root causes and implementing solutions to prevent recurrence.
- Experience with a range of big data architectures like Hadoop,Spark,Kafka,Hive or other big data technologies.
- Effectively manage and resolve incidents related to data processing, ensuring minimal downtime and optimal system performance.
- Collaborate with cross-functional teams to prioritize and address critical issues promptly.
- Experience in Tuning and Optimizing Spark jobs
- Knowledge on Terraform templates for Infrastructure provisioning on AWS (or cloud formation templates)
- Possess minimum 3+ years of in BI/DW development experience with Data Model Architecture/Design.
- Should have a good understanding of functional programming concepts.
- Good knowledge of Python with experience of production grade Python projects.
- Continuous Integration, branching and merging, pair programming, code reviews, unit testing, agile methodologies (Scrum), Design Patterns.
- Knowledge on CI/CD implementation like AWS Code Commit, Code Deploy for CI/CD pipelines (Git knowledge preferable)
- Knowledge on Scheduling Tools and techniques on Hadoop/EMR.
- Excellent written and verbal communication skills.
- Strong analytical and project management skills.
Technical Essentials
- Proven experience in providing technical support for data engineering systems.
- Strong understanding of AWS services, including S3, Glue, Redshift, EMR, Lambda, Athena, and Step Functions.
- Hands-on experience supporting Snowflake, Hadoop, Spark, and Python in a production environment.
- Familiarity with data modeling, optimization, and performance tuning.
- Excellent problem-solving skills and the ability to analyze and diagnose complex technical issues.
- Experience with incident management, including prioritization and resolution procedures.
- Strong communication and collaboration skills for working with cross-functional teams.
- Knowledge of best practices in cloud-based data engineering and support.
- Preferred:
- AWS Certified Solutions Architect - Associate
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