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Senior Data Engineer @ Tredence

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 Senior Data Engineer

Job Description

Role & responsibilities


We are seeking skilled Data Engineers to join our team, specializing in modern data warehouse solutions. In this role, you will:
Develop advanced Data Warehouse solutions using Databricks and Azure Stack.
Provide cutting-edge solutions for data engineering and analytics.
Collaborate with DW/BI leads on ETL pipeline development.
Identify and resolve gaps in existing data pipelines.
Work closely with business teams to create data models for reporting needs.
Lead technical discussions with client architects and team members.
Orchestrate data pipelines using Airflow.

Preferred candidate profile


Bachelors or Masters degree in Computer Science or related field.
Proficiency in SQL, Python, and Spark (PySpark).
Solid experience with Databricks Data & AI Platform and Databricks Delta Lake Architecture.
Experience in building ETL/data warehouse transformation processes.
Strong skills in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, and troubleshooting.
Databricks Certified Data Engineer Associate/Professional (Desirable).
Prior experience in Agile methodologies.
Excellent communication, analytical, and problem-solving skills.

Job Classification

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

Contact Details:

Company: Tredence
Location(s): Pune

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Keyskills:   Azure Databricks Pyspark Microsoft Azure Data Bricks SQL

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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