Job Location: Pune( Yerwada )
Greetings of the day!
We have multiple roles for Data Engineer for a product-based company
Work Location: Pune
Roles and Responsibilities
- Develop and automate high-performance data processing systems to drive Company’s business growth and improve the product experience.
- Evangelize high quality software engineering practices towards building data models and pipelines at scale.
- Build reliable, efficient, testable, & maintainable data pipelines.
- Design and Develop data pipelines using Metadata driven ETL Tools and Open-source data processing frameworks.
- Hands-on experience with source version control, continuous integration and experience with release/change management delivery tools.
- Provide production support and resolve high priority incidents and the development coding issues.
- Work with cross functional teams to enable data insights through Data lifecycle.
Desired Candidate Profile
- Bachelors degree or higher in Computer Science or Engineering or related.
- 3+ years of experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business.
- Experience with very large-scale data warehouses and data engineering projects.
- Experience building analytical solutions to Sales, Finance, Product and Marketing teams.
- Prior experience with CRM systems like SFDC is required.
- Experience developing low latency data processing solutions like AWS Kinesis, Apache Kafka, Apache Spark Stream processing and other Data Integration tools.
- Strong experience in one or more programming languages for processing of large data sets, such as Python, Scala.
- Working experience with SQL and NoSQL databases. Should be proficient in writing advanced SQLs, Expertise in performance tuning of SQLs.
- Experience working with AWS Cloud Data Services like S3, EC2, EMR, Lambda, Redshift etc.
- Ability to create enterprise data models, STAR schemas for data consuming.
- Extensive experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
- Ability to mentor, guide, and lead associate engineers in the team.
Perks and Benefits
- Door-to-door pick-up and drop facility for employees
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