We are looking for

9-12 years of experienced

Data Engineer with strong expertise in

Python, SQL, Spark, Azure Data Engineering, and contemporary data platforms

. The ideal candidate should have hands-on experience designing and developing scalable

ETL/ELT pipelines

, working with

Azure Databricks, Azure Data Factory, Synapse Analytics

, and implementing

Data Lake/Lakehouse architectures

.

Required Skills

- 6+

years of strong hands-on experience with

Python, SQL, and Spark/PySpark

.

- Experience with

Azure Data Factory and Azure Databricks

.

- Experience with

Azure Synapse Analytics or equivalent cloud data platforms

.

- Strong understanding of

ETL/ELT concepts and data integration

.

- Good knowledge of

Data Warehousing and Dimensional Modeling

.

- Experience with at least one modern cloud data warehouse such as

Snowflake, Synapse, Redshift, or BigQuery

.

- Strong understanding of

Data Lake and Lakehouse architecture

.

- Experience with

Git and CI/CD practices

.





- Experience with workflow orchestration tools such as

Airflow or Azure Data Factory

.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows

.

- Develop data transformation and processing solutions using

Python, SQL, and Apache Spark/PySpark

.

- Build and manage data pipelines using

Azure Data Factory (ADF)

and

Azure Databricks

.

- Work with

Azure Synapse Analytics or equivalent cloud data platforms for data processing and analytics.

- Design and implement

Data Lake and Lakehouse architectures for structured and unstructured data.

- Develop efficient data ingestion, transformation, cleansing, and integration processes.

- Work with cloud data warehouses such as

Snowflake, Azure Synapse, Redshift, or BigQuery

.

- Apply data warehousing concepts, dimensional modeling, and schema design

📌 Azure Data Engineer (Bengaluru)
🏢 Talentmatics
📍 Bengaluru