Data Engineer

Job Description

Do you have experience in transforming data into actionable information? Uplers Talent Network is the place for you!

Uplers is inviting Data Engineers with extensive experience of 3+ years to join our Talent Network. With excellent opportunities, we desire data engineers who can select and integrate the Big Data tools and frameworks required and would implement Data Ingestion & ETL/ELT processes.

Uplers constantly strives to bring ample opportunities through its network for professionals who are data savvy and believe, breathe, and live data culture.

If you think you're the one with a strong desire to become an expert in all things data and working internationally, Uplers Talent Network is the platform for you!

  • location
    Location : Permanently remote
  • experience
    Experience : 3+ years
  • working hours
    Working Hours : 8 hours per day (5 days/week)
  • Apply Now

Uplift with Uplers

We are proud to say that each day at Uplers is about its people.

As an individual, It's up to you to take control of your career and look for chances to grow professionally. Helping you find what's next is what we're all about. We are aware of what's happening in the changing workplace and hence, we are here to help you.

Uplers is passionate about connecting India's top talents with best companies globally through our Talent Network. We are a platform for people who want an opportunity to showcase their talent and be recognised for it.

Let's talk about Uplers Talent Solutions

Uplers Talent Network is a place where great talents meet the right opportunities. Our talent network is a large ecosystem of top Indian talents who can benefit from one another and gain access to many contractual global opportunities.

With us, you will get the support, guidance, and opportunities you need to take your career to the next level. So, get ready to get the best ride of your career growth with Uplers Talent Network!

Perks of joining Uplers Talent Network:
  • Payout: Take a long stride, get paid in global currencies, and earn more than industry standards.
  • Opportunity: Work with international companies and clients, and get your next career growth opportunity to build your future.
  • Projects: You will be ensured global exposure and learnings with our exciting global projects.
  • Talent Success Coach: Get connected with a dedicated coach to guide you before, during as well as after your assignment with our clients.
  • Projects: Get ensured global exposure and learnings with our exciting international projects.
  • Mobility: Work from the comfort of your living room couch or a breezy beach.

How to become a part of our Talent Network?

location
Fill the application form
location
Clear the 3 stage assessment process
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Become a Uplers Certified Talent
About the profile
  • If you are a data engineer with 3+ years of experience and believe you can be in India’s top 3.5% of data engineers, we invite you to go through the requirements below and take at least 3 skills assessments to get into our Talent Network.
  • The more successful assessments you add to your profile, the better would be your chances of being a part of our Talent Network.
Requirement
  • 3+ years of experience in a Data Engineer role
  • Experience with big data tools: Hadoop, Spark, Kafka, etc
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc
  • Experience with object-oriented/object function scripting languages: Python, R, Java, C++, Scala, GoLang, etc
  • Extensive knowledge of data engineering tools, technologies, and approaches
  • Hands-on experience with ETL tools
  • Knowledge of the design and operation of robust distributed systems
  • BI tools knowledge
  • Experience in Warehouse: SQL/NoSQL, Amazon Redshift, Panoply, Oracle, Talend, Informatica, Apache Hive, etc
  • Bachelor's degree in data engineering, big data analytics, computer engineering, or a related field
  • Knowledge of multiple data technologies and concepts
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