Staff/Senior Data Engineer - (Afternoon Shift)

Islamabad, Lahore, Karachi

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10Pearls | The leading IT, Software, Web, App, and Emerging Technologies Services & Solutions | Enabling & Transforming Digitally Fortune 500 Clients Worldwide

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Company Overview 

10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high-performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cybersecurity, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs, and high-growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity, and successful delivery and execution.  


We are seeking a highly skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have at least 5 years of experience with a strong background in Informatica Power Center, SSIS, SQL Server, and Snowflake. The candidate will be responsible for designing, implementing, and maintaining data integration solutions that support our organization's data needs. 


  • Develop, construct, test and maintain optimal data pipeline architecture 
  • Assemble large, complex data sets that meet functional / non-functional business requirements  
  • Identify ways to improve data reliability, efficiency and quality 
  • Prepare data for predictive and prescriptive modeling  
  • Use data to discover tasks that can be automated  
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies  
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. 
  • Monitoring processes performance and advising any necessary changes  
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.  
  • Create data tools for analytics that assist in building and optimizing the product into an innovative industry leader  
  • Work with data and analytics experts to strive for greater functionality in our data systems.  
  • Demonstrate proficiency in data management and automation on Spark, Hadoop, and HDFS environments  
  • Understanding database management, and as such, in-depth knowledge of SQL is required. Likewise, other database solutions, such as Mongo, Cassandra or Bigtable, are good to have. 


  • Bachelor’s degree in Computer Science, Information Technology, or a related field. 
  • Minimum of 5 years of experience in data integration, ETL development, and data warehousing. 
  • Proficiency in Informatica Power Center. 
  • Strong experience with SSIS (SQL Server Integration Services). 
  • Advanced knowledge of SQL Server, including T-SQL programming. 
  • Hands-on experience with Snowflake data warehousing. 
  • Excellent problem-solving and analytical skills. 
  • Strong communication and collaboration abilities. 
  • Detail-oriented with a commitment to delivering high-quality work. 
  • Familiarity with data visualization tools (e.g., Power BI, Tableau) would be an advantage. 
  • Ability to manage multiple tasks and projects simultaneously. 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS Big Data Bigtable Cassandra Computer Science Data management Data visualization Data Warehousing ETL Hadoop HDFS Informatica Power BI Snowflake Spark SQL SSIS Tableau T-SQL

Perks/benefits: Startup environment

Region: Asia/Pacific
Country: Pakistan

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