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Senior Data Engineer

Punjab, Pakistan (On-site)

Senior Data Engineer

1 Month ago • 4 Years + • Data Analyst

About the job

4 skills required for this role

Test your skills to join the top 1% applicants for this job

python

scalability

innovation

cross-functional

Job Description

We are seeking a skilled Data Engineer with 4+ years of experience to drive the implementation of our company's Data Management Strategy. This role is crucial in building and designing secure, scalable, and reliable data architectures and pipelines for our solutions and products. Key responsibilities include designing and developing robust data architectures, building and maintaining data pipelines for data integrity and performance, implementing best practices for data security and scalability across platforms, and collaborating with cross-functional teams to support data-driven decision-making.

Must have:

4+ years of experience with ETL tools, Python, PySpark, Airflow, and DBT
Expertise in building and optimizing data pipelines and architectures

Good to have:

Experience with Data Lakehouse and NiFi
Familiarity with advanced data engineering concepts and technologies
Strong problem-solving skills and ability to work in a fast-paced environment

Perks:

Provident Fund
Gym Membership
Leaves as per the company policy
Company-paid trips
Easy Loan Facility for Employees
Yearly increment
Health Insurance (includes spouse and parents) (till the age of 80)

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Description

We are looking for a Data Engineer with 4+ years of experience to help implement our company's Data Management Strategy. This role is essential in building and designing data architectures and pipelines that are secure, scalable, and reliable, spanning across all our solutions and products.

Key Responsibilities:

Design and develop robust and scalable data architectures.
Build and maintain data pipelines that ensure data integrity and performance.
Implement best practices for data security and scalability across various platforms.
Collaborate with cross-functional teams to support data-driven decision-making.

Requirements

Must-Have Skills:

4+ years of experience with ETL tools, Python, PySpark, Airflow, and DBT.
Expertise in building and optimizing data pipelines and architectures.

Desired Skills:

Experience with Data Lakehouse and NiFi.
Familiarity with advanced data engineering concepts and technologies.
Strong problem-solving skills and ability to work in a fast-paced environment.

Why Join Us?

Play a key role in implementing our Data Management Strategy across diverse solutions.
Work in a collaborative environment with opportunities for growth and innovation.
Competitive compensation and an exciting array of data challenges.