Azure Data Engineer - Synapse Analytics

Unicon Connectors; Ahmedabad District; On-site; INR 1,000,000 - 1,600,000; Full time

Job summary

Unicon Connectors is seeking a Data Engineer specialized in Azure Synapse Analytics to design, implement, and optimize data pipelines for large-scale data integration. You will work with ADLS Gen2, Blob storage, Synapse notebooks, and Data Flow to build robust ETL/ELT processes and ensure high-volume data handling.

Strong SQL skills and DevOps practices with Git CI/CD are essential. The role requires hands-on experience with Synapse Pipelines, Spark, Hive, HDFS, Sqoop, and a proactive approach

Qualifications

• Experience in data engineering projects using Microsoft Azure (min 2-3 projects).
• Strong expertise in Azure data storage like ADLS Gen2 and Blob storage.
• Experience implementing automated Synapse pipelines for data integration (ETL/ELT).
• Ability to implement Synapse pipelines for data integration ETL/ELT using Synapse studio.

Skills

Azure Synapse

T-SQL

Data warehousing

Data modelling

DevOps

Git CI/CD

Azure ADLS Gen2

Blob storage

Spark

HDFS

Hive

Sqoop

Synapse pipelines

Synapse notebooks

Data Flow

ETL

Data integration

Communication

Tools

Synapse notebooks

Data Flow

Git

Job description

Role : Data Engineer - Azure Synapse Analytics

• Experience in Data engineering projects using Microsoft Azure platform (Min 2-3 projects)
• Strong expertise in data engineering tools and storage such as Azure ADLS Gen2, Blob storage
• Experience implementing automated Synapse pipelines
• Ability to implement Synapse pipelines for data integration ETL/ELT using Synapse studio
• Experience integrating Synapse notebooks and Data Flow
• Should be able to troubleshoot pipelines
• Strong T-SQL programming skills or with any other flavor of SQL
• Experience working with high volume data, large objects
• Experience working in DevOps environments integrated with GIT for version control and CI/CD pipeline.
• Good understanding of data modelling for data warehouse and data marts
• Should have experience on Big data components like HIVE, Sqoop, HDFS, Spark
• Strong verbal and written communication skills
• Ability to learn, contribute and grow in a fast phased environment