Key Responsibilities

• Design, build, and maintain data pipelines using Azure services

• Develop and optimize solutions using Azure Synapse Analytics (pipelines, Spark, SQL pools)

• Implement ETL/ELT processes for ingesting and transforming data from multiple sources

• Design and manage data models to support reporting and analytics

• Work with structured and unstructured datasets in a data lake environment

• Ensure data quality, integrity, and consistency across pipelines

• Optimize performance of queries, pipelines, and storage

• Collaborate with data analysts, data scientists, and business stakeholders.

Required Skills & Experience

• Strong hands-on experience with Microsoft Azure data services

• Proven experience with Azure Synapse Analytics (pipelines, Spark, SQL)

• Proficiency in SQL and Python

• Experience with data warehousing concepts and dimensional modeling

• Experience with ETL/ELT design and implementation

• Familiarity with Azure Data Lake Storage (ADLS)

• Understanding of distributed data processing (e.g., Spark)

• Experience with version control and CI/CD practices (Azure DevOps preferred)

Soft Skills

• Strong analytical and problem-solving abilities

• Good communication and stakeholder interaction skills

• Ability to work independently and within a team

• Attention to detail and focus on qualit

Key Responsibilities

• Design, build, and maintain data pipelines using Azure services

• Develop and optimize solutions using Azure Synapse Analytics (pipelines, Spark, SQL pools)

• Implement ETL/ELT processes for ingesting and transforming data from multiple sources

• Design and manage data models to support reporting and analytics

• Work with structured and unstructured datasets in a data lake environment

• Ensure data quality, integrity, and consistency across pipelines

• Optimize performance of queries, pipelines, and storage

• Collaborate with data analysts, data scientists, and business stakeholders.

Required Skills & Experience

• Strong hands-on experience with Microsoft Azure data services

• Proven experience with Azure Synapse Analytics (pipelines, Spark, SQL)

• Proficiency in SQL and Python

• Experience with data warehousing concepts and dimensional modeling

• Experience with ETL/ELT design and implementation

• Familiarity with Azure Data Lake Storage (ADLS)

• Understanding of distributed data processing (e.g., Spark)

• Experience with version control and CI/CD practices (Azure DevOps preferred)

Soft Skills

• Strong analytical and problem-solving abilities

• Good communication and stakeholder interaction skills

• Ability to work independently and within a team

• Attention to detail and focus on qualit