Associate Data Engineering Lead — Pipelines & Cloud

Devsinc; Lahore; On-site; PKR 1,800,000 - 3,200,000; Full time

Job summary

Devsinc is looking for an Associate Team Lead- Data Engineer to join our dynamic data team. You will design, build, and optimize data pipelines that transform raw data into insights, enabling data-driven decisions across the organization.

You will collaborate with data scientists, analysts, and stakeholders to define data requirements, ensure data quality, and implement robust data solutions using cloud services and data warehousing technologies. Strong leadership and communication are essential.

Qualifications

• Bachelor’s degree in CS, data engineering, or related field.
• 4+ years in data engineering building data pipelines.
• Strong SQL & relational DB experience.
• Proficient in Python or Scala for data processing.
• Experience with cloud data services and data warehousing.

Responsibilities

• Design, develop, and optimize scalable ETL pipelines.
• Collaborate with data scientists and analysts to define data requirements.
• Ensure data quality and implement validation/testing.
• Use cloud data services and warehousing for large data volumes.
• Monitor production pipelines and troubleshoot data issues.
• Contribute to data governance, security, and compliance.
• Stay updated with industry trends in data engineering.

Skills

SQL & relational databases

Python/Scala for data processing

Data modeling & ETL design

Problem solving & data quality

Communication with non-technical Stake

Education

Bachelor’s degree in CS/Data Eng

Tools

Apache Airflow

Talend

AWS Glue

Snowflake

Redshift

PostgreSQL

MySQL

AWS

Azure

GCP

Job description

Devsinc is looking for an Associate Team Lead- Data Engineer to join our dynamic data team. You will design, build, and optimize data pipelines that transform raw data into insights, enabling data-driven decisions across the organization.

You will collaborate with data scientists, analysts, and stakeholders to define data requirements, ensure data quality, and implement robust data solutions using cloud services and data warehousing technologies. Strong leadership and communication are essential.