Senior Data Engineer

Acesoft Labs; Hyderabad; Hybrid; INR 3,000,000 - 5,000,000; Full time

Job summary

Acesoft Labs is seeking a Senior Data Engineer with deep Snowflake expertise and Azure experience to design scalable cloud data pipelines. You will build and optimize ETL/ELT workflows using Azure Data Factory, manage data with Blob Storage and ADLS Gen2, and implement event-driven automations with Logic Apps.

Ideal candidates have 8–12 years of hands-on data engineering, strong SQL skills, and familiarity with Git. Python and dbt are a plus, as is DevOps/CI-CD background.

Qualifications

• 8–12 years of data engineering experience.
• Hands-on Snowflake design and optimization.
• Strong Azure Data Factory and Azure storage skills.
• Proficient in SQL and data modelling.
• Familiarity with Git version control.

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.

Skills

Snowflake

Azure Data Factory

SQL

Git

Azure Blob Storage

ADLS Gen2

Azure Logic Apps

dbt

Python

DevOps/CI-CD

Problem Solving

Communication

Tools

dbt

Git

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.