Senior Data Engineer
6 days ago
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
● Provide 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.
Technical Skills
● 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.
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