SourcingXPress
Website:
sourcingxpress.com
Job details:
Company: SourcingXPress
Website: Visit Website
Business Type: Startup
Company Type: Product
Business Model: D2C
Funding Stage: Seed
Industry: Media Tech
Salary Range: ₹ 35-40 Lacs PA
Job Description
We are seeking a highly skilled
Data Engineer to build and maintain scalable data pipelines, manage large-scale event data, and provide actionable insights into user behavior, content performance, and platform usage. You will play a key role in enabling analytics that drives data-driven decisions across the organization.
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines for large-scale data processing.
- Handle event streaming data from platforms such as Kafka or AWS Kinesis.
- Work with Apache Spark (Scala or Python) for batch and real-time data processing.
- Manage and optimize data storage, retrieval, and analytics using AWS services like Glue, EMR, S3, Redshift, and Athena.
- Collaborate with analytics, product, and engineering teams to provide insights on user behavior, content performance, and platform metrics.
- Implement data modeling and data warehouse solutions for structured and semi-structured datasets.
- Ensure data quality, reliability, and performance at scale.
Must Have Skills
- Bachelor's degree in Computer Science, Engineering, or a related field
- 5+ years of experience in Data Engineering or related roles
- Strong experience with Apache Spark (Scala or Python) and Spark SQL
- Experience building ETL pipelines using AWS services such as Glue and EMR
- Hands-on experience with event streaming systems like Kafka or AWS Kinesis
- Proficiency in SQL and experience working with large-scale datasets
- Experience with AWS ecosystem (S3, Redshift, Athena)
- Good understanding of data modeling and data warehouse concepts
- Internet B2C product experience
Good to Have
- Experience working with consumer-facing applications (OTT / media platforms preferred)
- Exposure to real-time analytics and event-driven architectures
- Familiarity with data visualization tools like AWS QuickSight (or similar)
- Understanding of user behavior analytics (engagement, retention, etc.)
Click on Apply to know more.