Senior Consultant | AWS Data engineer | Hyderabad | Engineering

6 years

0 Lacs

Posted:2 weeks ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Job requisition ID :: 77965
Date: Jul 14, 2025
Location: Hyderabad
Designation: Senior Consultant
Entity: Deloitte Touche Tohmatsu India LLP

Education

Bachelor’s degree in relevant field (e.g. Engineering, Analytics or Data Science, Computer Science, Statistics) or equivalent experience.

Experience

  • At least 6 years of experience with big data technologies like Azure Data Lake, Synapse, PySpark, Azure Data Factory (ADF), AWS Redshift , S3, SQL Server ,MLOps or their equivalent.
  • Experience in implementing complex ETL pipelines day-to-day operations.
  • Experience on knowledge graphs is a plus.
  • 3+ years of experience in Agile Development and code deployment and CI-CD pipelines.
  • 2+ years of experience in job orchestration using Airflow or equivalent.
  • 2+ years in AI/ML, specially Gen AI concepts on Rag patterns, chunking techniques.
  • Exposure on knowledge graphs is a plus.
  • Build, Design and Deliver enterprise data programs.
  • Proficiency in implementing data quality rules.
  • Proficiency in analytical tools like Tableau, Power BI or equivalent.
  • Experience with security models and development on large data sets.
  • Experience in data quality management tools.
  • Work closely with different stakeholders: Business owners, users, product managers, program managers, architects, engineering managers & developers, etc. to translate business needs and product requirements to well-documented engineering solutions.
  • Ensuring data quality and consistency: Ensure data quality and consistency across various sources.
  • Strong working knowledge on Python.
  • Designing and contributing to best practices: Design and contribute to best practices in Enterprise Data Warehouse (EDW) architecture.


Additional Desired Preferences


  • Experience with scientific chemistry nomenclature or prior work experience in life sciences, chemistry, or hard sciences or degree in sciences
  • Experience with pharmaceutical datasets and nomenclature
  • Experience working with knowledge graphs
  • Ability to explain complex technical issues to a non-technical audience
  • Self-directed and able to handle multiple concurrent projects and prioritize tasks independently
  • Able to make tough decisions when trade-offs are required to deliver results
  • Strong communication skills required: Verbal, written, and interpersonal

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