Senior Data Engineer

Acesoft Labs; Ahmedabad District; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Acesoft Labs in Hyderabad / Ahmedabad is hiring a Senior Data Engineer to design and optimize scalable data pipelines in the Azure and Snowflake ecosystem. You will develop ETL/ELT workloads, manage data with ADLS Gen2 and Blob Storage, and implement event-driven automations.

The ideal candidate brings expert Snowflake skills, strong SQL, and solid Azure data knowledge. Excellent problem-solving and communication are essential; experience with dbt and Python is a plus.

Qualifications

• Expert-level Snowflake knowledge for design, development, and optimization.
• Proficiency in the Azure data ecosystem: ADF, Blob Storage, ADLS Gen2, Logic Apps.
• Strong SQL expertise for complex data manipulation.
• Experience with Git and version control.
• Excellent problem-solving and communication skills.

Responsibilities

• Design and optimize scalable data pipelines for large datasets.
• Develop and orchestrate ETL/ELT workflows using Azure Data Factory.
• Manage data storage with Azure Blob Storage and ADLS Gen2.
• Implement event-driven automations using Azure Logic Apps.
• Write robust SQL queries, stored procedures, and build data models.
• Ensure data quality, security, and governance practices are enforced.
• Troubleshoot and optimize existing pipelines and infrastructure.

Skills

Snowflake

Azure Data Factory

SQL

Git

Communication skills

Problem solving

Tools

Azure Blob Storage

ADLS Gen2

Azure Logic Apps

dbt

Python

Job description

Were Hiring: Senior Data Engineer – Azure & Snowflake Expert

Location: Hyderabad / Ahmedabad

Experience: 8–12 Years

Immediate Joiners Preferred

Are you passionate about designing scalable data pipelines and building high-performing data platforms in the cloud? We are looking for a Senior Data Engineer with strong hands‑on expertise in Snowflake and Azure Data Factory to join our growing team.

Key Responsibilities

• Design and optimize scalable data pipelines for large datasets.
• Develop and orchestrate ETL/ELT workflows using Azure Data Factory (ADF).
• Manage data storage with Azure Blob Storage and ADLS Gen2.
• Implement event-driven automations using Azure Logic Apps.
• Write robust SQL queries, stored procedures, and build data models.
• Ensure data quality, security, and governance practices are enforced.
• Troubleshoot and optimize existing pipelines and infrastructure.

Must-Have Skills

• Expert-level Snowflake knowledge – design, development, and optimization.
• Proficiency in the Azure data ecosystem: ADF, Blob Storage, ADLS Gen2, Logic Apps.
• Strong SQL expertise for complex data manipulation.
• Familiarity with Git and version control.
• Excellent problem‑solving and communication skills.

Nice to Have

• Experience with dbt (data build tool).
• Knowledge of Python and DevOps/CI-CD practices for data engineering.