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Job Description

Job DescriptionThis role is responsible for the development and implementation of data warehouse solutions for company-wide application and managing large sets of structured and unstructured data.

  • The candidate will be expected to analyze complex customer requirements and work with data warehouse architect to gather, define and document data transformation rules and its implementation.
  • Data Engineers will be expected to have a broad understanding of the data acquisition and integration space and be able to weigh the pros and cons of different architectures and approaches.
  • You will have a chance to learn and work with multiple technologies and Thought Leaders in the domain.


  • Translate the business requirements into technical requirements
  • ETL development using native and 3rd party tools and utilities
  • Write and optimize complex SQL and shell scripts
  • Design and develop code, scripts, and data pipelines that leverage structured and unstructured data
  • Data ingestion pipelines and ETL processing, including low-latency data acquisition and stream processing
  • Design and develop processes/procedures for integration of data warehouse solutions in an operative IT environment.
  • Monitoring performance and advising any necessary configurations & infrastructure changes.
  • Create and maintain technical documentation that is required in supporting solutions.
  • Coordinate with customers to understand their requirements
  • Provide direct support to the project lead and the solution delivery team.
  • Readiness to travel to customer sites for short, medium or long-term engagements.

Skills And Qualifications

  • S. / M.S. in Computer Sciences or related field
  • Hands on experience with one or more ETL tools like Informatica, DataStage, Talend etc.
  • Strong concepts of designing and developing ETL architectures.
  • Strong RDBMS concepts and SQL development skills
  • Good understanding of data modeling and mapping
  • Experience with Data Integration from multiple data sources
  • Working experience in one or more business areas like Telecom, Retail, Finance etc.
  • Good knowledge of Big Data technologies such as Pig, Hive, Spark, Kafka, Nifi
  • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
  • Experience with any of the Hadoop distributions such as Cloudera/Hortonworks
  • Working experience with at least one cloud service provider AWS, Azure or Google Cloud and hands on with their native tools.
  • Experience in projects using Agile delivery is mandatory.
  • Solid understanding of DevOps technology stack and standard tools/practices like Linux, Dockers, Jenkins & Git etc.
  • Experience with Teradata tools and technologies will be a plus.
  • Training/Certification on Teradata will be a plus.
  • Good communication and presentation skills, both verbal and written
  • Proven experience in customer facing roles for large engagements and experience in working with delivery teams.
  • Ability to solve problems using a creative and logical mind set
  • Must be self-motivated, analytical, detail oriented, organized and pursue excellence on all tasks

Job Details

Functional Area:
Total Positions:
5 Posts
Job Shift:
First Shift (Day)
Job Type:
Job Location:
No Preference
35 - 46 Years
Minimum Education:
Degree Title:
Career Level:
Experienced Professional
5 Years - 9 Years (Data Engineering experience is mandatory)
Apply Before:
Nov 29, 2021
Posting Date:
Oct 17, 2021
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Information Technology · 11-50 employees - Islamabad, Lahore, Rawalpindi

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