Strategic Data Architect

4 days ago


Jaipur, Rajasthan, India Sanmax Technologies (P) Limited Full time

About the Role


We are seeking an experienced Senior Data Engineer to join our team at Sanmax Technologies (P) Limited.



Salary Information

The estimated annual salary for this position is $140,000 - $180,000.



Job Description

This Senior Data Engineer will play a critical role in designing, implementing, and deploying data pipelines in a highly collaborative environment. The ideal candidate will have a successful history of data analysis, design, implementation, and production deployment in critical, multi-business environments.



Main Responsibilities

  1. Work closely with Digital Product Insights, Analytics, Intelligence, Operations, and Support teams to ensure that all types of data is securely collected, structured, and made accessible to support analytics, reporting, and insight generation.
  2. Design, implement, deploy, and support automated data pipes from various source systems to one or more target systems.
  3. Collaborate with other data engineers to provide development coverage, support, and knowledge sharing and mentoring of junior team members.
  4. Evaluate business requirements to propose and produce technical documentation such as data architecture, data modeling, data dictionary, source to target mapping with transformation rules, ETL data flow design, and test cases.
  5. Develop automated data pipes using Agile methodologies.


Requirements

To be considered for this role, you must have:



  • 8 years of experience working in a technical environment as an engineer or developer.
  • 5 years of hands-on experience with data architecture, data modeling, database design, and data warehousing.
  • 5 years of hands-on experience with ETL tools like Pentaho, DataStage, Informatica, or Ab Initio.
  • 5 years of hands-on experience with SQL development and query performance optimization.
  • 5 years of hands-on experience with data mining and data analysis.
  • 5 years of hands-on experience with Unix shell scripting, Perl, and Python.
  • Traditional RDBMS experience, such as Oracle, DB2, MS SQL, and/or PostgresSQL.
  • Experience with Agile (Scrum) methodologies.
  • Excellent critical thinking, verbal, and written communication skills.
  • A strong understanding of Big Data and open-source technologies.


Education

A Bachelor's degree in Computer Science, Engineering, Statistics, Math, Physics, or related quantitative field is required.




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