Data Engineer

4 weeks ago

New Delhi, India Uplers Full time
Uplers - Uplers, originated as an outsourcing firm in 2012, evolved to offer innovative solutions beyond expertise.Uplers is a pioneering talent matchmaking platform that bridges the gap between global companies and top-tier Indian professionals, redefining remote hiring through robust technical skill assessments tailored to specific roles. Uplers seamlessly align talent with clients' cultural values and identity.

Role : Data Engineer (Contract of 3 months)

Experience : 5+ years

Job Description:

We seek an experienced Data Engineer to join our team and play a crucial role in organizing and optimizing our data infrastructure. The ideal candidate should have strong analytical and problem-solving skills, with a deep understanding of data modeling, ETL processes, and data warehousing.

Responsibilities:

Skills & Role Taxonomy Curation:

- Collaborate with subject matter experts to develop and maintain a comprehensive skills taxonomy- Analyze and group related skills (e.g., React, React.js, ReactJs, React Hooks) under appropriate parent categories- Implement algorithms and techniques to identify and resolve skill variations and duplications- Ensure data quality and consistency across the skills taxonomy

Data Warehousing:

- Design, implement, and maintain a robust data warehouse solution- Develop efficient data models and schemas to support complex analytical queries- Optimize data warehouse performance for fast querying and retrieval (within a few hundred milliseconds)- Implement data partitioning, indexing, and caching strategies to improve query performance- Collaborate with data analysts and stakeholders to understand their requirements and optimize data access- Perform data cleaning, normalization, and enrichment to ensure data quality- Analyze resume data to derive valuable insights and support data-driven decision-making

Requirements:

- Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL)- Experience with AI/ML techniques and their application in data engineering- Experience with data warehousing solutions (e.g., Redshift, Snowflake, BigQuery)- Familiarity with data modeling techniques (e.g., dimensional modeling, star schema)- Knowledge of data quality assurance and data governance practices- Strong analytical and problem-solving skills- Excellent communication and collaboration abilities

Preferred Qualifications:

- Experience with big data technologies (e.g., Hadoop, Spark)- Knowledge of cloud platforms (e.g., AWS, GCP, Azure)- Familiarity with machine learning and natural language processing techniques- Understanding of agile methodologies and DevOps practices

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