Data Engineer📣 Job Ad

Join Quant as a Data Engineer!
Are you passionate about data and eager to make an impact? At Quant, we are looking for a dedicated Data Engineer to develop and maintain efficient data pipelines and infrastructure supporting our analytics and business intelligence initiatives.

Key Responsibilities:

• Design, build, and maintain reliable data pipelines using SQL, Python, and cloud technologies.
• Integrate multiple data sources into centralized analytics systems.
• Perform data cleansing and validation to ensure accuracy.
• Collaborate with data scientists and analysts to ensure data availability for modeling.
• Monitor and optimize ETL processes for better performance and scalability.
• Assist in implementing data models for reporting and predictive analytics.
• Apply software engineering best practices in development and testing.
• Stay updated with new data tools and techniques.
• Document data workflows clearly and concisely.
• Troubleshoot and resolve data-related issues effectively.

Requirements:

• Proficient in Python for data processing.
• Strong understanding of SQL and relational databases.
• Familiar with ETL tools (Airflow, Alteryx, etc.).
• Basic knowledge of cloud platforms (AWS, GCP, Azure).
• Understanding of data modeling concepts.
• Knowledge of data visualization tools is a plus.
• Strong problem-solving skills and attention to detail.
• Team player in a multicultural environment.
• Bachelor’s degree in Computer Science or a related field.
• Eager to learn and grow in a data-focused role.

Join AYEN as a Data Engineer!
Are you passionate about data and its transformative power? AYEN, a leading proptech platform, invites applications for the position of Data Engineer. In this role, you will be pivotal in optimizing SQL queries for ETL processes, creating insightful dashboards with Power BI, and ensuring seamless integrations with Airtable. This position is perfect for those who thrive in a dynamic environment and are eager to make impactful contributions.

Key Responsibilities:

• Write and optimize MySQL queries to support ETL processes.
• Build and maintain interactive dashboards using Power BI.
• Integrate Airtable with other systems for smooth data flow.
• Ensure data consistency across various platforms.
• Automate workflows using technical tools to boost efficiency.
• Streamline data flows for optimal performance.

Requirements:

• 3+ years of experience with MySQL and Power BI.
• Strong knowledge of Airtable and ETL processes.
• Proficient SQL skills and data analysis capabilities.
• Ability to work collaboratively in a dynamic team setting.
• Excellent communication skills.

Join Our Team as a Senior Data Engineer!
At Salla E-Commerce Platform, we are on the lookout for a highly skilled Senior Data Engineer who possesses a deep expertise in ClickHouse and streaming data. If you are passionate about building scalable real-time analytics solutions, this role is for you!

Key Responsibilities:

• Design, implement, maintain, and document highly scalable data pipelines for real-time and batch processing.
• Build and optimize data systems to support accurate, low-latency analytics and reporting use cases.
• Develop and maintain solutions for streaming and serverless data processing.
• Collaborate with cross-functional teams to implement and support end-to-end analytics workflows.
• Ensure data quality, reliability, and performance across the platform.
• Monitor, troubleshoot, and optimize data infrastructure to maintain high availability.
• Mentor junior engineers and contribute to the continuous improvement of engineering practices.

Requirements:

• 5+ years of experience in data engineering or related fields.
• Strong expertise in ClickHouse including schema design, job optimization, and cluster management.
• Proven experience in real-time data processing using tools like Apache Kafka and Apache Spark Streaming.
• Deep understanding of Distributed systems with a focus on scalability and resilience.
• Proficiency in programming languages like Python or Java.
• Hands-on experience with cloud platforms like AWS, GCP, or Azure.
• Familiarity with Docker and Kubernetes.

Preferred Qualifications:

• Experience in the e-commerce industry or similar high-traffic environments.
• Knowledge of ETL/ELT tools like Airflow or dbt.
• Familiarity with monitoring tools like Prometheus or Grafana.