Data Scientist

3 weeks ago

Bengaluru, Karnataka, India InSnap Technologies Pvt Ltd Full time
Job Description

Job Title: Data Scientist Data Engineering & ETL Pipeline Specialist

Location: Koramangala, Bangalore

Employment Type: Full-time, Work from office

Shift: 9:30PM to 6:30PM

Experience: 0 to 2 years

Salary: 3.8 LPA to 8 LPA

Notice: Immediate Joiners Required

About the Role

We are looking for a Data Scientist with strong Data Engineering expertise to own the entire data lifecycle from large-scale data acquisition (web crawling/scraping) to processing, transformation, and storage in analytics-ready formats.

This role is ideal for someone who thrives at building scalable, distributed data systems and optimizing pipelines for performance, reliability, and cost efficiency.

Key Responsibilities

- Data Acquisition: Architect and implement scalable web crawling/scraping systems for diverse verticals (e-commerce, social, technology, etc.).
- ETL/ELT Development: Design, build, and maintain real-time and batch data pipelines for ingestion, transformation, and loading into analytics platforms.
- Data Processing: Clean, enrich, and transform raw data into structured formats ready for machine learning and business intelligence.
- Data Storage: Manage and optimize data in data lakes, data warehouses, and OLTP/OLAP systems.
- System Observability: Implement robust logging and monitoring solutions for seamless system health checks and log analysis.
- Collaboration & Mentorship: Work closely with cross-functional teams and mentor junior developers in data engineering best practices.
- Continuously optimize infrastructure cost while maintaining high performance and reliability.

Core Competencies

- Large-scale web data extraction (crawling/scraping) using custom & distributed systems.
- Real-time and batch processing with Kafka, Spark, and Storm.
- Data storage in MongoDB, HDFS, S3, Athena, and other warehouse/lake environments.
- Strong foundation in ETL pipeline design and optimization.
- Hands-on experience with distributed microservices architecture.

Tech Stack & Tools

- Languages & Frameworks: Python, Apache Storm, Apache Spark, Apache Hadoop
- Message Queues & Caches: Kafka Cluster, Redis Cluster
- Databases & Storage: MongoDB, HDFS, Amazon S3, Athena
- Cloud Platforms: AWS, Azure, DigitalOcean
- Others: Distributed Systems, GitHub/Bitbucket, JIRA, Kibana

Qualifications

- Bachelors or Masters degree in Computer Science, Data Science, or related field.
- 3+ years of professional experience in Data Engineering, ETL/ELT pipeline development, and large-scale web data acquisition.
- Strong problem-solving, debugging, and optimization skills.
- Excellent communication and collaboration abilities.

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