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Lead Data Engineer
2 months ago
We are looking for data engineers who have the right attitude, aptitude, skills, empathy, compassion, and hunger for learning. Build products in the data analytics space. A passion for shipping high-quality data products, interest in the data products space; curiosity about the bigger picture of building a company, product development and its people.
Requirements:
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.
- Create end to end data products and productionize them in cloud/in-house servers
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
- Minimum 6 months of hands-on experience in Apache Kafka.
- 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.