CodeVyasa | Senior Data Engineer | bangalore
3 weeks ago
Looking for Senior Data Engineer| Bangalore to join a team of rockstar developers. The candidate should have a minimum of 6+ yrs. of experience.
There are multiple openings. If you're looking for career growth & a chance to work with the top 0.1% of developers in the industry, this one is for you You will report into IIT'ans/BITS grads with 10+ years of development experience + work with F500 companies (our customers).
Company Background - We are a multinational software company that is growing at a fast pace. We have offices in Florida & New Delhi. Our clientele spreads across the US, Australia & APAC. Here's the link to our website (codevyasa.com). To give you a sense of our growth rate, we've added 70+ employees in the last 6 weeks itself and expect another 125+ by the end of Q4 2024.
Key Responsibilities
- Design, implement, and maintain data processing pipelines using PySpark for both streaming and batch processing.
- Develop and optimize ETL workflows on AWS EMR and AWS Glue.
- Utilize SQL and Hive for data transformation and querying.
- Collaborate with data scientists and analysts to ensure data quality and accessibility for analytics and machine learning applications.
- Monitor data pipelines, troubleshoot issues, and optimize performance across all stages of data processing.
- Contribute to data architecture decisions and improve data infrastructure to support large-scale processing needs.
Required Skills
- SQL: Proficient in complex queries, data manipulation, and data extraction.
- PySpark: Expertise in using PySpark for both streaming and batch data processing.
- AWS EMR & Glue: Hands-on experience in setting up and managing data workflows on AWS EMR and Glue.
- Hive: Strong working knowledge of Hive for querying and managing data in a distributed environment.
Preferred Skills
- Apache Kafka: Experience with Kafka for real-time data streaming is a plus.
- Amazon Redshift: Knowledge of Amazon Redshift for data warehousing and analytics is advantageous.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Proven track record of 7+years in data engineering, with a focus on large-scale data processing and data pipeline development.
- Strong problem-solving skills, attention to detail, and ability to work in a fast-paced environment.
Here is what we have on offer for you:
- Glassdoor's rating of 4.8
- Free healthcare
- Laser-sharp focus on upskilling our employees
- Diverse & Inclusive teams
- Industry-par compensation & benefits
- Great work-life balance
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