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Home
>
Jobs in Chennai
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PwC India
>
Azure (Databricks / ADF / Synapse)

Azure (Databricks / ADF / Synapse)

PwC India

4 - 8 years

5 - 15 Lacs

Chennai Delhi / NCR Mumbai (All Areas)

Posted:2 weeks ago| Platform:

Apply

Skills Required

Synapse Azure Databricks python ADF Data Warehouse Data Lake sql

Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title:

Experience:

Location:

Employment Type:

Notice Period:

Job Summary:

Data Engineer

Key Responsibilities:

Requirement gathering and analysis
Experience with different databases like Synapse, SQL DB, Snowflake etc.
Design and implement data pipelines using Azure Data Factory, Databricks, Synapse
Create and manage Azure SQL Data Warehouses and Azure Cosmos DB databases
Extract, transform, and load (ETL) data from various sources into Azure Data Lake Storage
Implement data security and governance measures
Monitor and optimize data pipelines for performance and efficiency
Troubleshoot and resolve data engineering issues
Provide optimized solution for any problem related to data engineering
Ability to work with a variety of sources like Relational DB, API, File System, Realtime streams, CDC etc.
Strong knowledge on Databricks, Delta tables

Required Skills:

48 years of experience in
Data Engineering
or related roles.
Hands-on experience in
Azure Databricks
,
ADF
, or
Synapse Analytics
Proficiency in
Python
for data processing and scripting.
Strong command over
SQL
writing complex queries, performance tuning, etc.
Experience working with
Azure Data Lake Storage
and
Data Warehouse
concepts (e.g., dimensional modeling, star/snowflake schemas).
Understanding CI/CD practices in a data engineering context.
Excellent problem-solving and communication skills.

Good to Have:

Experienced in
Delta Lake
,
Power BI
, or
Azure DevOps
.
Knowledge of
Spark
,
Scala
, or other distributed processing frameworks.
Exposure to
BI tools
like
Power BI
,
Tableau
, or
Looker
.
Familiarity with
data security
and
compliance
in the cloud.
Experience in leading a development team.

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