Azure Data Engineer - Synapse Analytics

Unicon Connectors; Surat; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Unicon Connectors is hiring for a data engineering specialist focused on Microsoft Azure Synapse Analytics. The role requires hands-on experience with Synapse pipelines, notebooks and Data Flow, plus strong SQL and data modelling skills.

You will work with high-volume data, implement ETL/ELT processes, and collaborate in a DevOps environment using Git for CI/CD. Proficiency in Hive, Sqoop, HDFS, Spark and Azure storage solutions is essential.

Qualifications

• Azure Synapse Analytics experience in data engineering projects (2-3 projects).
• Expertise in Azure ADLS Gen2 and 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.
• Ability to troubleshoot pipelines.
• Strong T-SQL programming skills or SQL.
• Experience with high-volume data and large objects.
• DevOps environments integrated with Git for version control and CI/CD.
• Strong data modelling for data warehouse and data marts.
• Experience with Big Data components like Hive, Sqoop, HDFS, Spark.
• Strong communication skills and ability to learn in a fast-paced environment.

Skills

Azure Synapse Analytics

Azure ADLS Gen2

Blob storage

Synapse pipelines

ETL/ELT

Synapse notebooks

Data Flow

T-SQL

SQL

Big data

GIT CI/CD

Data modelling

Tools

Azure Synapse Studio

Azure Data Lake Storage Gen2

Blob Storage

Git

CI/CD

Hive

Sqoop

HDFS

Spark

Job description

Requirements

• 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