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Azure Data Engineer @ Tredence

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 Azure Data Engineer

Job Description

MUST HAVE Minimum of 6 years of Azure DE experience


In-depth technical knowledge of tools like Azure Data Factory, Databricks, Azure Synapse, SQL DB, ADLS etc.

Experience in collaborating with business stakeholders to identify and meet data requirements

Experience in using Azure services and tools to ingest, egress, and transform data from multiple sources

Delivered ETL/ELT solutions including data extraction, transformation, cleansing, data integration and data management

Implemented batch & near real time data ingestion pipelines

Experience in working on Event-driven cloud platform for cloud services and apps, Data integration for building and managing pipeline, Data warehouse running on serverless infrastructure, Workflow orchestration using Azure Cloud Data Engineering components Databricks, Synapse, etc.

Excellent written and oral communication skills


GOOD TO HAVE

Proven ability to work with large cross functional teams with good communication skills.

Experience on Cloud migration methodologies and processes

Azure Certified Data Engineer

Exposure to Azure Dev ops and Github

Ability to drive customer calls independently

Ability to take ownership and work with team

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: DBA / Data warehousing
Role: Data warehouse Developer
Employement Type: Full time

Contact Details:

Company: Tredence
Location(s): Pune

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Keyskills:   Pyspark Azure Databricks Azure Data Factory Data Warehousing ETL SQL

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Tredence

We are a digital solutions and technology services company that partners with global organizations across industries to achieve digital transformation. With a strong track record of innovation, investment in digital solutions, and commitment to client success, at Zensar, you can help clients achieve...

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