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We are seeking an experienced Web Scraping Engineer to data extraction efforts for our enterprise clients. In this role, you will be tasked with creating and maintaining robust, large-scale scraping systems for gathering structured data.
Responsibilities:
Develop and optimize custom web scraping tools and workflows.
Integrate scraping systems with data storage solutions like SQL and NoSQL databases.
Troubleshoot and resolve scraping challenges, including CAPTCHAs, rate limiting, and IP blocking.
Provide technical guidance on scraping best practices and standards.
Skills Required:
Expert in Python and scraping libraries such as Scrapy and BeautifulSoup.
Deep understanding of web scraping techniques and challenges (CAPTCHAs, anti-bot measures).
Experience with cloud platforms (AWS, Google Cloud).
Strong background in databases and data storage systems (SQL, MongoDB).
- Does analytics to extract insights from raw historical data of the organization.
- Generates usable training dataset for any/all MV projects with the help of Annotators, if needed.
- Analyses user trends, and identifies their biggest bottlenecks in Hammoq Workflow.
- Tests the short/long term impact of productized MV models on those trends.
- Skills - Numpy, Pandas, SPARK, APACHE SPARK, PYSPARK, ETL mandatory.
Python● Good communication and collaboration skills with 4-7 years of experience.
● Ability to code and script with strong grasp of CS fundamentals, excellent problem solving abilities.
● Comfort with frequent, incremental code testing and deployment, Data management skills
● Good understanding of RDBMS
● Experience in building Data pipelines and processing large datasets .
● Knowledge of building Web Scraping and data mining is a plus.
● Working knowledge of open source tools such as mysql, Solr, ElasticSearch, Cassandra ( data stores )
would be a plus.
● Expert in Python programming
Role and responsibilities
● Inclined towards working in a start-up environment.
● Comfort with frequent, incremental code testing and deployment, Data management skills
● Design and Build robust and scalable data engineering solutions for structured and unstructured data for
delivering business insights, reporting and analytics.
● Expertise in troubleshooting, debugging, data completeness and quality issues and scaling overall
system performance.
● Build robust API ’s that powers our delivery points (Dashboards, Visualizations and other integrations).
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