Experience : 5.00+ years Salary : Confidential (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Part Time Contract for 3 months(40 hrs a wk/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Aryalabs) What do you need for this opportunity Primary Skills: Big Data, Data Analytics, Data Warehousing, Apache Spark, Hadoop, Machine Learning, NoSql Aryalabs is Looking for: We are seeking 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 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 How to apply for this opportunity Register or login on our portal & fill out the application form. Clear the given Video Screening (30 min) and Click on 'Apply' to get shortlisted Once it's all done, your profile will be shared with the client for the Interview round. When selected, just meet the client and get your exciting career started! About our Client - Aryalabs: At Aryalabs, we're all about revolutionizing the world of HR through tech. Our mission Solving the recruitment puzzle with innovative solutions that make the process smoother and more efficient. We believe in leveraging the latest technology to tackle the challenges of finding the right talent, helping organizations streamline their hiring processes and make better decisions backed by data. At Aryalabs, we're not just changing recruitment; we're shaping the future of HR. About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
