Senior Data Solutions Engineer
CoditasPune, Republic Of India, IN18 days ago
Job descriptionProvide research, high-level design and estimates for data transformation and data integration from source applications to end-use Investigate alternatives for data storing and processing to ensure implementation of the most streamlined solutions. Develop comprehensive data products and implement them on cloud or in-house servers for production use. Minimum 6-10 years of progressive experience building solutions in Big Data environments. Have a strong ability to build robust and resilient data pipelines which are scalable, fault tolerant and reliable in terms of data movement. Hands-on experience of Apache Spark with Python for batch and stream processing. Should have knowledge of experience in batch and stream data processing Exposure working on projects across multiple domains. Strong hands on capabilities on SQL and NoSQL technologies. Minimum 3+ years of experience with AWS services like S3, DMS, Redshift, Glue, Lambda, Kinesis, MSK etc. is must have or similar services of either Azure / GCP. Strong analytical / quantitative skills and comfortable working with huge sets of data. Excellent written and verbal communication skills.
Roles and Responsibilities
- Understand Business requirements and implement scalable solutions.
- Translate complex technical and functional requirements into detailed designs
- Develop a highly scalable, reliable, and high-performance data processing pipeline to
extract, transform and load data from various systems to the Enterprise Data warehouse / Data Lake / Data Mesh
Technical Skills
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Senior Data Engineer • Pune, Republic Of India, IN
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