Teradata Engineer

Job Information

• Date Opened: 01/11/2022
  
• Job Type: Full time
  
• Industry: IT Services
  
• Work Experience: 3-6 years
  
• Remote Job
  

About Us

We are a decision science organization assisting clients to leverage their under-utilized data in making complex business decisions successfully. We comprise of Data Enthusiasts (engineers, scientists, visualizers), Business Consultants, and Sales Managers with a core focus to address your business growth via data. The most unique aspect of Data would be containing unique problems/opportunities even for organizations in the same sector. Since Marktine’s inception, we have worked with several sectors across industries.

We are still growing and consistently striving to improve to deliver world-class Data Assessment & Management Services. We do not follow a complex process rather strive to make complex data terminologies as simple as possible for our clients. From the team’s perspective, we adhere to complete industry standards following proper work-life balance among employees and provide the knowledge space for improvement. We encourage team building and follow a culture of innovation, transparency, and integrity. We are always open for the right enthusiasts to join our team.

Job Description

This is a remote position.

Professional having 6+ years of experience in Data and BI tools as below:

1. In-depth knowledge of core TERADATA concepts/architecture, load utilities (BTEQ, MLOAD, FASTLOAD), OLAP functions, SQL writing, performance tuning techniques, identifying in the eliminating spool spaces, skewness issues etc.
   
2. Good understanding of Teradata architecture (Staging, foundation and reporting)
   
3. Understanding various indexes and using appropriately in the queries
   
4. Experiencing in End to End implementation of data-warehousing projects
   
5. Advanced SQL skills, including use of derived tables, unions, multi-table inner/outer joins.
   
6. Experienced in writing scripts to write wrapper scripts to call ETL Jobs
   
7. Experience in developing solution using Azure Data lake, ADF would be added advantage.