Job Description

We are looking for a highly skilled and motivated

Data Engineer

to join our fast-growing technology team. This is an exciting opportunity for someone who enjoys building robust data systems, creating efficient pipelines, and transforming raw information into meaningful, business-ready insights. If you're eager to work with modern data technologies and take on new challenges, this role offers the perfect environment to grow your expertise and make a real impact.

Job Overview

As a Data Engineer, you will design, develop, and maintain data infrastructure that supports analytics, reporting, and advanced data-driven decision-making. You will collaborate closely with analysts, engineers, and key stakeholders to ensure data is accurate, accessible, and scalable across the organization.

Key Responsibilities

Design, build, and manage scalable data pipelines and ETL processes for structured and unstructured data Develop and maintain data warehouse solutions, ensuring high performance and reliability Work with large datasets in cloud and on-premise environments Collaborate with data analysts, data scientists, and cross-functional teams to understand data needs Implement best practices for data quality, governance, and security Optimize database performance and troubleshoot complex data issues Integrate data from various internal and external sources, including APIs and third-party systems Automate workflows and improve data processing efficiency Maintain documentation for data workflows, architecture, schemas, and processes

Qualifications

Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field Proven experience as a Data Engineer or in a similar data-focused role Strong programming skills in SQL and at least one scripting language (Python preferred) Hands-on experience with ETL/ELT tools and data pipeline frameworks Proficiency in working with relational and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.) Experience with cloud platforms such as AWS, Azure, or Google Cloud Understanding of data warehousing concepts, dimensional modeling, and big data technologies Strong problem-solving skills with the ability to work with complex datasets Excellent communication skills and the ability to collaborate with technical and non-technical teams

Preferred Skills

Experience with tools such as Airflow, dbt, Kafka, Snowflake, or Redshift Knowledge of CI/CD practices and DevOps workflows Familiarity with machine learning pipelines or data science workflows Experience working with real-time data processing

What We Offer

Competitive compensation based on experience Opportunities for continuous learning and skill development A collaborative, supportive, and technology-focused work culture Exposure to modern data technologies and large-scale projects Long-term career growth and advancement opportunities

How to Apply

Please

submit your application directly Through Indeed

with your most recent resume. Qualified candidates will be contacted for next steps.

Job Type: Full-time

Pay: ?60,000.00 - ?80,000.00 per month

Benefits:

Health insurance Life insurance Provident Fund
Work Location: In person