Onsite Data Engineer: Azure ETL & BI Specialist

Acme One

Lahore

On-site

PKR 1,500,000 - 3,000,000

Full time

14 days+
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Job summary

Acme One in Lahore is seeking a Data Engineer with hands-on experience in SQL Server, SSIS, Azure cloud data tools, and Power BI to build and maintain data pipelines, support cloud-based integrations, and contribute to BI solutions that matter.

Key responsibilities include developing, optimizing, and maintaining ETL/ELT pipelines across on-prem and Azure, designing SQL Server objects, building data ingestion with SSIS, ADF, ADLS, Synapse, and Databricks, and creating Power BI datasets and

Qualifications

  • 1–3 years of experience as a Data Engineer, BI Developer, or similar.
  • Strong MS SQL Server & T-SQL skills.
  • Hands-on with Azure tools - ADF, ADLS, Synapse.
  • Power BI proficiency for reports, dashboards, DAX, data modeling.
  • Solid understanding of ETL/ELT and star/snowflake data modeling.

Responsibilities

  • Develop, optimize, and maintain ETL/ELT pipelines across on-premises and Azure environments.
  • Design and manage SQL Server objects - tables, views, stored procedures, and functions.
  • Build data ingestion and transformation solutions using SSIS, ADF, ADLS, Azure Synapse, and Databricks.
  • Create and manage Power BI datasets, dataflows, DAX measures, and interactive dashboards.
  • Ensure data quality, reliability, and timely availability across systems.
  • Troubleshoot pipeline failures, performance issues, and data inconsistencies.
  • Collaborate with analysts and business users on reporting requirements.
  • Document workflows, data models, and SOPs.

Skills

SQL Server
T-SQL
ETL/ELT
Power BI
Data modeling

Tools

SSIS
Azure Data Factory
Azure Data Lake Storage
Azure Synapse
Databricks
Power BI

Job description

Acme One in Lahore is seeking a Data Engineer with hands-on experience in SQL Server, SSIS, Azure cloud data tools, and Power BI to build and maintain data pipelines, support cloud-based integrations, and contribute to BI solutions that matter.

Key responsibilities include developing, optimizing, and maintaining ETL/ELT pipelines across on-prem and Azure, designing SQL Server objects, building data ingestion with SSIS, ADF, ADLS, Synapse, and Databricks, and creating Power BI datasets and

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