senior Data Engineer
Need 9+ years’ experience in profile
Experience:
- Strong understanding of data structures and algorithms
- Strong understanding of the solution and technical design
- Has a strong problem-solving and analytical mindset?
- Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders
- Able to quickly pick up new programming languages, technologies, and frameworks
- Advanced experience building cloud scalable, real-time and high-performance data lake solutions
- In-depth understanding of microservice architecture
- Strong understanding of developing complex data solutions
- Experience working on end-to-end solution design
- Able to lead others in solving complex problems by taking a broad perspective to identify innovative solutions
- Willing to learn new skills and technologies
- Has a passion for data solutions
Required and Preferred Skill Sets:
- Hands-on expert-level experience in AWS - EMR [Hive, Pyspark], S3, Athena or any other equivalent cloud
- Hands-on expert level experience with Spark Batch Processing and some familiarity with Spark Structured Streaming
- Experience Working experience with Hadoop stack dealing with huge volumes of data in a scalable fashion
- Hands-on experience with SQL, ETL, data transformation, and analytics functions
- Hands-on Python experience including Batch scripting, data manipulation, distributable packages
- Experience working with batch orchestration tools such as Apache Airflow or equivalent
- Working with code versioning tools such as GitHub or BitBucket; expert-level understanding of repo design and best practices
- Working with deployment automation tools such as Jenkins and familiarity with containerization concepts such as Docker and Kubernetes
- Hands-on experience designing and building ETL pipelines; expert with data ingest, change data capture, and data quality