Were looking for a Senior/Lead Data Engineer to join our team.
Working at Taazaa involves engaging with cutting-edge technology and innovative software solutions in a collaborative environment.
We emphasise continuous professional growth, offering workshops and training.
Our employees often interact with clients to tailor solutions to business needs, working on diverse projects across industries.
We promote work-life balance with flexible hours and remote options, fostering a supportive and inclusive culture.
Competitive salaries, health benefits, and various perks further enhance the work experience.
Looking ahead, we aim to expand our technological capabilities and market reach, investing in advanced technologies and expanding our service offerings.
We plan to deepen our expertise in AI and machine learning, enhance our cloud services, and continue fostering a culture of innovation and excellence.
Taazaa is committed to staying at the forefront of technology trends, ensuring it delivers impactful and transformative solutions for its clients.
We are seeking a highly skilled Senior/Lead Data Engineer with 79 years of experience to design, build, and maintain scalable data pipelines and infrastructure.
This role focuses on enabling analytics, operational reporting, and AI/ML workloads.
You will collaborate closely with data analysts, data scientists, and engineering teams to ensure data availability, quality, and performance, while contributing to AI-enabled data products and ML pipeline development.
What Youll Do
Data Engineering & Pipeline Development :
Design, develop, and maintain scalable ETL/ELT pipelines for processing large datasets.
Build data pipelines to ingest, transform, and load data into data lakes, warehouses, and feature stores.
Optimise data workflows for performance, reliability, and scalability.
Data Integration & Management
Integrate data from multiple sources, including APIs, databases, and file systems (JSON, CSV, Parquet).
Manage relational and non-relational databases, including columnar databases like ClickHouse.
Ensure efficient data storage and retrieval for both analytics and ML workloads.
Data Quality & Governance
Implement data quality checks, validation frameworks, and monitoring systems.
Maintain data lineage, metadata management, and governance standards.
Ensure data accuracy, consistency, and compliance for analytics and AI/ML use cases.
Cloud & Infrastructure
Deploy and manage data solutions on cloud platforms (AWS, Azure, GCP) or on-prem environments.
Work with cloud data services such as Redshift, Big Query, S3, RDS, and Azure Synapse.
Monitor and optimise infrastructure for cost, performance, and scalability.
AI/ML Data Engineering
Collaborate with data scientists to build and operationalise feature engineering pipelines.
Develop and manage feature stores (e.g., Feast, Tecton).
Support ML pipelines for training, batch processing, and real-time inference.
Ensure proper dataset versioning, schema management, and data validation for ML workflows.
Understand model monitoring, metadata tracking, and data drift concepts.
Collaboration & Stakeholder Engagement
Work closely with cross-functional teams to understand business and technical requirements.
Provide data-driven insights to support decision-making and product development.
Contribute to building scalable, AI-driven data platforms.
Qualifications And Requirements
Bachelors degree in Computer Science, Information Technology, Engineering, or a related field.
Experience
7 to 9 years of experience as a Data Engineer or in a similar role.
Strong experience in building and maintaining ETL/ELT pipelines.
Experience supporting analytics and AI/ML data workflows.
Technical Skills
Hands-on experience with ETL tools such as Apache Airflow, Airbyte, and dbt.
Strong expertise in SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, Redis).
Proficiency in Python and Shell scripting for data processing and automation.
Experience with cloud platforms (AWS, Azure, GCP) and their data services.
Familiarity with data warehousing solutions such as Amazon Redshift or Snowflake.
Experience with containerization tools like Docker and orchestration using Kubernetes.
Understanding of CI/CD pipelines for deploying data and ML workflows.
Experience with BI tools (Power BI preferred).
Good To Have
Experience with big data technologies like Hadoop, Spark, or Kafka.
Familiarity with machine learning pipelines and feature engineering workflows.
Experience with columnar databases such as ClickHouse.
Exposure to vector databases (Pinecone, Chroma, pgvector).
Experience working on AI/ML data platforms, feature stores, or LLM-based solutions.
Core Competencies
Strong analytical and problem-solving skills.
Ability to manage multiple projects and priorities.
Excellent communication and collaboration skills.
High attention to detail and data quality.
Ability to work in a fast-paced, evolving environment.
Behavioral Skills
Leadership & Mentorship : Guide and mentor junior engineers, promoting best practices.
Effective Communication : Clearly articulate technical concepts to stakeholders.
Problem-Solving Attitude : Proactively identify issues and deliver solutions.
Collaboration & Teamwork : Work effectively across teams to achieve shared goals.
Adaptability & Flexibility : Stay updated with emerging technologies and adapt quickly.
What Youll Get In Return
Joining Taazaa Tech means thriving in a dynamic, innovative environment with competitive compensation and performance-based incentives.
You'll have ample opportunities for professional growth through workshops and certifications, while enjoying a flexible work-life balance with remote options.
Our collaborative culture fosters creativity and exposes you to diverse projects across various industries.
We offer clear career advancement pathways, comprehensive health benefits, and perks like team-building activities.
Who We Are
Taazaa Tech is a kaleidoscope of innovation, where every idea is a brushstroke on the canvas of tomorrow.
It's a symphony of talent, where creativity dances with technology to orchestrate solutions beyond imagination.
In this vibrant ecosystem, challenges are sparks igniting the flames of innovation, propelling us towards new horizons.
Welcome to Taazaa, where we sculpt the future with passion, purpose, and boundless creativity.
