
AWS Senior Data Engineer
3 weeks ago
Key Result Areas and Activities:
- Study existing technology landscape and understand current data integration framework and do impact assessment for the requirements.
- Develop spark jobs using Scala for new project requirements.
- Enhance existing spark jobs for any ongoing product enhancement.
- Performance tuning of spark jobs, stress testing etc.
- Create new data pipelines for developed/enhanced spark jobs using AWS Lambda or Apache Airflow
- Responsible for database design process, logical design, physical design, star schema, snowflake schema etc.
- Analyze data processing, integration, modelling and reporting requirements & Define data loading strategies considering volume, data types, frequency and analytics specifications.
- Ensure optimal balance between cost and performance.
- Project documentation, Adheres to Quality guidelines & Schedules.
- Works hand in hand with PM for successful delivery of project and provide Estimation, scoping, scheduling assistance.
- Manage build phase and quality assure code to ensure fulfilling requirements and adhering to Cloud architecture. Resolve difficult design and develop issues.
Work and Technical Experience:
Must-Have:
- Overall, 7-9 years of IT Exp
- 5+ years of AWS related project
- Good to have Associate Level and Professional Level AWS Certification
- In depth knowledge of following AWS Services required: S3, EC2, EMR, Severless, Athena, AWS Glue, Lambda, Step Functions
- Cloud Databases (Must have) – AWS Aurora, Singlestore, RedShift, Snowflake
- Big Data (Must have) - Hadoop, Hive, Spark, YARN
- Programming Language (Must have) – Scala, Python, Shell Scripts, PySpark
- Operating System (Must have) - Any flavor of Linux, Windows
- Must have very strong SQL Skills
- Orchestration Tools (Must have): Apache Airflow
- Expertise in developing ETL workflows comprising complex transformations like SCD, deduplications, aggregations etc.
- Should have thorough conceptual understanding of AWS VPC, Subnets, Security Groups, & Route Tables
- Should be a quick and self-learner and be ready to adapt to new AWS Services or new Big Data Technologies as and when required
Qualifications:
- Bachelor's degree in computer science, engineering, or related field (Master's degree is a plus)
- Demonstrated continued learning through one or more technical certifications or related methods
- Minimum 5 years of experience on Cloud related projects
Qualities:
- Hold strong technical knowledge and experience
- Should have the capability to deep dive and research in various technical related fields
- Self-motivated and focused on delivering outcomes for a fast-growing team and firm
- Able to communicate persuasively through speaking, writing, and client presentations
- Able to consult, write, and present persuasively
- Able to work in a self-organized and cross-functional team
- Able to iterate based on new information, peer reviews, and feedback
- Prior experience of working in a large media company would be added advantage
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