Senior Data Engineer

2 weeks ago


Pune, India Coditas Full time

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 toextract, 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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