Sr. Data Engineer

EXL; Gurugram District; On-site; INR 15,00,000 - 25,00,000; Full time

Job summary

A leading analytics company is seeking a skilled Data Engineer to maintain and optimize data pipelines and ensure data integrity. With 9-12 years of experience required, the candidate will engage in data collection, preprocessing, transformation, collaboration with scientists, and ensuring compliance with security regulations. This role is vital for data-driven decision-making in a fast-paced environment. Opportunities for growth and developing innovative solutions await at this progressive company.

Qualifications

• 6-10 years of relevant experience in data engineering tools.

Responsibilities

• Source identification and data licensing compliance.
• Data cleaning and preprocessing.
• Transforming data and feature engineering.
• Managing data warehousing and database optimization.
• Collaborating with data scientists and ML engineers.
• Optimizing performance and scaling.
• Ensuring data security and privacy.
• Documenting data pipelines and reporting.

Skills

Data Extraction

Data Cleaning

Data Transformation

Collaboration

Data Security

Performance Optimization

Tools

BeautifulSoup

Scrapy

APIs

Job description

• Experience (In Years) 9-12

Job Description

We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for maintaining and optimizing data pipelines, implementing robust data checks, and ensuring the accuracy and integrity of data flows. This role is critical in supporting data-driven decision-making processes, especially in the context of our insurance-focused business operations.

Responsibilities

Key Responsibilities:

• Data Collection and Acquisition: Source Identification, Data Licensing and Compliance, Data Crawling/Collection
• Data Preprocessing and Cleaning:Data Cleaning, Text Tokenization, Normalization, Noise Filtering
• Data Transformation and Feature Engineering:Text Embedding, Text Augmentation, Handling Multilingual Data
• Data Storage and Management:Data Warehousing, Database Optimization, Version Control
• Collaboration with Data Scientists and ML Engineers: Data Accessibility, Support for Model Development, Data Quality Assurance
• Performance Optimization and Scaling:Efficient Data Handling, Distributed Computing
• Data Security and Privacy:Data Anonymization, Compliance with Regulations
• Documentation and Reporting:Data Pipeline Documentation, Reporting

Qualifications

Candidate Profile:

• 6 -10 years of relevant experience in data engineering tools
• Tools:
• Data Extraction: BeautifulSoup, Scrapy, APIs (RESTful, GraphQL)