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Senior Data Engineer @ Tredence

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 Senior Data Engineer

Job Description

Role & responsibilities

  • Developing Modern Data Warehouse solutions using Databricks and Azure Stack
  • Ability to provide solutions that are forward-thinking in data engineering and analytics space
  • Collaborate with DW/BI leads to understand new ETL pipeline development requirements.
  • Triage issues to find gaps in existing pipelines and fix the issues
  • Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs
  • Drive technical discussion with client architect and team members
  • Orchestrate the data pipelines in scheduler via Airflow Skills and Qualifications:
  • Bachelor's and/or masters degree in computer science or equivalent experience.
  • Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture
  • Should have hands-on experience in SQL, Python and Spark (PySpark)
  • Experience in building ETL / data warehouse transformation processes
  • Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
  • Databricks Certified Data Engineer Associate/Professional Certification (Desirable).
  • Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects
  • Should have experience working in Agile methodology
  • Strong verbal and written communication skills.
  • Strong analytical and problem-solving skills with a high attention to detail.

Mandatory Skills


Azure Databricks, Pyspark, SQL, Azure Data Factory, Azure Data Lake

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Consulting
Role Category: Management Consulting
Role: Management Consulting - Other
Employement Type: Full time

Contact Details:

Company: Tredence
Location(s): Pune

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Keyskills:   Pyspark Azure Databricks Data Bricks SQL Python

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₹ 16-30 Lacs P.A

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Tredence

Tredence is a global data science solutions provider focused on solving the last mile problem in AI. The last mileis the gap between insight creation and value realization.Headquartered in San Jose, the company embraces a vertical-first approach and an ou