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About Netcombase

Netcombase is a technology-focused organization dedicated to harnessing data, cloud platforms, and advanced analytics to empower business functions and strategic decisions. The company promotes innovation, ongoing learning, and teamwork while enabling career advancement in a contemporary, dynamic workplace.

Role Overview

The Data Analytics Engineer will be responsible for designing, constructing, and maintaining robust data pipelines, curated datasets, and cloud-enabled analytical solutions that facilitate audit analytics and data-driven business insights. Collaborating closely with audit and data analysis teams, this role guarantees data availability, quality, security, and governance, enhancing reporting, automation, and sophisticated analytics capabilities.

Key Responsibilities

Develop, maintain, and optimize scalable data pipelines integrating data from various APIs, SQL databases, and enterprise systems.
Create curated datasets supporting business and audit analytics needs.
Automate ingestion, transformation, and validation processes ensuring historical data accuracy using techniques like versioning and time-stamping.
Conduct data quality validations, integrity checks, and monitor data completeness, consistency, and accuracy.
Document data lineage, definitions, metadata, and integration processes to comply with governance and audit standards.
Administer cloud-based analytics infrastructure including security, patching, backups, disaster recovery, and resource monitoring.
Develop automated ETL workflows using Python and SQL, improve reporting efficiency through process automation, and support advanced analytics projects.
Collaborate with stakeholders to gather requirements, provide technical guidance, mentor team members, and promote knowledge sharing.

Required Qualifications

Bachelor’s degree in Computer Science, Data Science, IT, Engineering, or related technical discipline.
At least five years of experience in data engineering, analytics, or similar roles.
Strong skills integrating data from APIs, SQL databases, and enterprise systems.
Advanced Python expertise including Pandas, NumPy, SQLAlchemy, and ETL development.
Proficiency in SQL programming and database management.
Experience with cloud platforms like AWS or Azure, including associated services (object storage, VMs, serverless, data integration, query engines, identity management).
Excellent analytical and problem-solving capabilities, strong communication, and documentation skills.
Fluency in English.

Preferred Qualifications

Experience supporting internal audit, risk, or compliance functions.
Knowledge of audit evidence handling and data lineage concepts.
Familiarity with AI/ML technologies and Infrastructure as Code tools such as Terraform.
Experience mentoring technical teams and driving enterprise-wide analytics initiatives.

Benefits

Opportunities for professional growth and career advancement.
Unlimited access to online education and learning resources.
Supportive and collaborative work culture.
Flexible work schedules and options for home office.
Comprehensive healthcare and wellness coverage.
Life insurance and employee assistance programs.
Internet allowances and corporate discounts.
Participation in sports and wellness activities.
Paid annual, birthday, and volunteer leave.
Employee recognition programs and additional workplace benefits.

Ideal Candidate Profile

Passionate about building scalable data solutions and automation.
Enthusiastic about cloud technologies and data analytics.
Thrives in cooperative, cross-functional team environments.
Committed to data quality, governance, and system stability.
Can communicate complex technical ideas clearly to diverse audiences.
Continuously seeks improvements in data infrastructure and business workflows.

Equal Opportunity

Netcombase values diversity, inclusion, collaboration, innovation, and equal opportunity. All qualified individuals are invited to apply regardless of background or protected characteristics.

Data Analytics Engineer

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