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About the job

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 Uplers)

What do you need for this opportunity?

Primary Skills:

Apache Kafka, Data Warehousing, Google Big Query, Snowflake, Apache Spark, Hadoop, MySQL, NoSql

Uplers is Looking for:

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


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 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!

Desired Skills and Experience

Apache Kafka, Data Warehousing, Google Big Query, Snowflake, Apache Spark, Hadoop, MySQL, NoSql
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