Data Engineer

2 weeks ago


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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