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Data Engineer

2 weeks ago

Karachi, Sindh, Pakistan BADRI Management Consultancy Full time

Job Overview

Key Responsibilities:

  • Design, develop, and maintain
    ETL (Extract, Transform, Load)
    workflows using
    SQL Server Integration Services (SSIS)
    .
  • Build and manage
    data models
    and
    OLAP cubes
    in
    SQL Server Analysis Services (SSAS)
    to support analytical reporting and dashboards.
  • Develop, enhance, and maintain
    reports and visualizations
    using
    SQL Server Reporting Services (SSRS)
    .
  • Write complex
    SQL queries
    , stored procedures, and views for data extraction, transformation, and analysis.
  • Optimize database performance by implementing
    indexing strategies
    (clustered and non-clustered indexes),
    query tuning
    , and
    execution plan analysis
    .
  • Monitor and troubleshoot
    database performance issues
    , identifying and resolving bottlenecks in queries and ETL processes.
  • Collaborate with cross-functional teams including data analysts, BI developers, and business stakeholders to understand data requirements and deliver scalable data solutions.
  • Ensure
    data accuracy, integrity, and security
    across all systems and reports.
  • Participate in
    database design and architecture discussions
    , contributing to best practices in data modeling, normalization, and performance optimization.
  • Automate data processes and support deployment activities as part of the overall data engineering lifecycle.

Requirement:

  • Bachelor's degree in
    Computer Science, Information Systems, or related field
    .
  • 3–5 years of hands-on experience working with
    Microsoft SQL Server
    .
  • Strong proficiency in:

SQL Server Management Studio (SSMS)

SSIS (SQL Server Integration Services)
for ETL and data pipeline development

SSAS (SQL Server Analysis Services)
for data modeling and cube design

SSRS (SQL Server Reporting Services)
for report creation and automation

  • Proven experience in
    query optimization
    ,
    indexing (clustered and non-clustered)
    , and
    performance tuning
    .
  • Solid understanding of
    relational database design
    ,
    data warehousing concepts
    , and
    ETL best practices
    .
  • Familiarity with
    data governance
    ,
    security
    , and
    compliance
    principles.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and collaboration skills.