Terrabit Consulting Hiring Drive 2024 For Non_IT-Data Analyst _ Database Management  

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Terrabit Consulting Hiring Drive 2024: Terrabit Consulting Hiring Drive 2024 for its Non_IT-Data Analyst _ Database Management.Terrabit Consulting Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree. if you are interested, please apply as soon as possible.

Company Name: Terrabit Consulting

Role: Non_IT-Data Analyst _ Database Management

Location: India

Experience: 4+7 years

Qualification: Bachelor’s degree

Batch: Any

Job Type: Full Time

Salary: INR 9 to 11 Annually 

Terrabit Consulting Hiring Drive 2024

Job Description:

  • Non_IT – Data Analyst _ Database Management
  • This role is for a Senior Data Engineer with Minimum 4 Years of work experience in said role – with proven skills in Python and SQL primarily working on Data integration or data transformation projects.
  • Candidate should have good knowledge of Data ETL and warehousing concepts. Candidate should have excellent and clear communication skills and ability to interact directly with International clients .


  • 4+ years of experience with SQL with hands on expertise in DDL,DML and Query operation.
  • 4+ Years of experience with python programming to automate jobs and transform data using libraries like pandas, numpy etcExcellent understanding of ETL flows and processesWorking Experience with Source control using GIT or other tools.
  • Good Knowledge of Unix/Linux commands
  • Excellent communication skills. 
  • Any experience with SnowflakeAny experience with Scheduling tools like UC4Any knowledge or experience with CI/CD applications like Jenkins.
  • Knowledge on Agile development methodsComments for Suppliers:
  • Candiate Should have good SQL and Python Skills. Knowledge of GIT is a must as well


  • Work as an individual contributor working independently and interacting directly with Clients
  • Work on maintaining existing ETL/ELT pipelines using SQL or Python.
  • Work on debugging production data issues, analysing data to find errors and working on tickets.
  • Enhance , improve or modify existing data pipelines and setup new pipelines as per business need.
  • Ensure on-time and error free delivery of results.

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