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2 weeks ago
We are seeking a highly skilled Senior Data Engineer to join our team. The ideal candidate will have experience in designing, developing, and implementing large-scale data processing systems using AWS technologies.
- Study the existing technology landscape and understand the current data integration framework and do impact assessments for new project requirements.
- Develop Spark jobs using Scala for new project requirements.
- Enhance existing Spark jobs for ongoing product enhancements.
- Perform 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, modeling, and reporting requirements, and define data loading strategies considering volume, data types, frequency, and analytics specifications.
- Evaluate optimal balance between cost and performance.
- 7-9 years of IT experience.
- 5+ years of AWS-related project experience.
- Good to have Associate Level and Professional Level AWS Certification.
- In-depth knowledge of following AWS Services: S3, EC2, EMR, Serverless, Athena, AWS Glue, Lambda, Step Functions.
- Cloud Databases: AWS Aurora, Singlestore, RedShift, Snowflake.
- Big Data: Hadoop, Hive, Spark, YARN.
- Programming Language: Scala, Python, Shell Scripts, PySpark.
- Operating System: Any flavor of Linux, Windows.
- Strong SQL skills.
- Orchestration Tools: Apache Airflow.
- Competitive salary.
- Bonus scheme.
- Opportunities for professional growth and development.
- A collaborative and dynamic work environment.
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