Senior Data Engineer

DPL; Islamabad; On-site; PKR 1,500,000 - 2,500,000; Full time

Job summary

DPL is seeking a Data Engineer in Islamabad, Pakistan. The role involves designing and maintaining analytics solutions in collaboration with Software Engineers. Candidates should have a strong background in data engineering with expertise in AWS and SQL.

Ideal candidates possess at least a BS/MS degree in a relevant field and five years of experience with data engineering and ETL technologies. Experience with big data technologies like Hadoop and Spark is preferred. This opportunity offers the chance to work on innovative data solutions in a vibrant environment.

Qualifications

• 5+ years of experience with data engineering and ETL technologies.
• 2+ years of hands-on experience with AWS.
• Advanced SQL skills and experience with big data technologies.

Responsibilities

• Design, build, secure, and maintain analytics solutions.
• Build data systems and pipelines.
• Interpret trends and patterns from data.

Skills

Data Engineering

ETL Technologies

AWS

SQL

Python

Big Data Technologies

Education

BS/MS degree in Computer Science, IT, Mathematics, Statistics or similar

Tools

AWS IoT Core

Hadoop

Spark

Hive

AWS Lambda

AWS Glue

AWS Athena

AWS Redshift

Pandas

Job description

As a Data Engineer you will work closely with our Software Engineers’ team to design, build, secure, and maintain analytics solutions.

Requirements

• Build data systems and pipelines
• Evaluate business needs and objectives
• Interpret trends and patterns
• Prepare data for prescriptive and predictive modeling
• Build algorithms and prototypes
• Combine raw information from different sources
• Explore ways to enhance data quality and reliability
• Extract value insights from semi structured, structured data and non structured data
• Implement complex data aggregates and Business logic using SQL

Qualifications

• BS/MS degree in Computer Science, IT, Mathematics, Statistics or similar.
• At least 5 years of experience with data engineering and ETL technologies
• At least 2 years of hands-on experience working with AWS
• Experience and expertise working with AWS services to design, build, secure, and maintain analytics solutions
• Experience with AWS IoT Core/Analytics would be preferred
• Experience with big data technologies like Hadoop, Spark, Hive or similar frameworks.
• Advanced SQL skills.
• Experience in AWS Lambda, AWS Glue, AWS Athena and as AWS Redshift
• Experience in Python, Pandas or a similar modeling language.