Data Engineer

2 days ago


Hyderabad, Telangana, India Helical IT Full time ₹ 6,00,000 - ₹ 18,00,000 per year

About Us: Helical IT, based out of Hyderabad, is a software company that specializes in Open Source Data Warehousing & Business Intelligence, servicing clients in various domains like Manufacturing, HR, Energy, Insurance, Social Media Analytics, E-commerce, Travel, etc.

Job Description:

  • Demonstrated strength in data modeling, ETL development, and data warehousing
  • Hands-on experience using big data technologies (Hadoop, Hive, HBase, Spark, etc.); Apache Spark and PySpark are mandatory
  • Hands-on experience using Spark SQL
  • Hands-on experience with programming languages – Scala, Python, R, or Java (any one)
  • Strong database knowledge
  • Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions, and define data engineering strategy
  • Understanding of Agile development methodologies

Skills and Qualification

Mandatory Experience/knowledge with

  • BE, B.Tech, or MS Degree in Computer Science, Engineering, or a related subject
  • Experience of 2+ years
  • Ability to work independently
  • Good written and oral communication skills

Nice to have

  • Experience using business intelligence reporting tools
  • Hands-on experience with AWS and AWS Glue (mandatory)
  • Experience with AWS QuickSight
  • Database understanding of PostgreSQL, SQL Server, Cassandra, S3, and Hadoop
  • Performance tuning of Spark jobs
  • Knowledge of any BI tool such as Tableau, Jasper, Pentaho, or Helical Insight

Our Requirement Process:

The software Development Engineer experience is a unique one at Helical IT Solutions Pvt Ltd.

STEP – 1

Pre-Screening

Candidate profiles will be reviewed to assess eligibility.

STEP – 2

Technical Discussion

Further qualified candidates will have to take up a technical discussion.

STEP – 3

HR Interview

Lastly, candidates have to take up HR interview.

Please fill up the form below


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