Senior. Data Engineer

We are seeking an experienced and driven Senior Data Engineer to design build and scale our next-generation data this role you will play a crucial part in shaping our data architecture ensuring high availability performance and reliability of our data pipelines. If you are passionate about big data cloud technologies and turning complex datasets into actionable insights we would love to have you on the team.

Design build and optimize robust ETL/ELT data pipelines to process structured and unstructured data at scale.

Architect and maintain data warehouses data lakes and cloud-based data storage solutions (e.g. Snowflake BigQuery AWS Redshift).

Collaborate with data scientists product managers and software engineers to understand data requirements and deliver reliable data models.

Monitor troubleshoot and optimize data pipeline performance to ensure low latency and high data quality.

Implement data governance security best practices and data quality frameworks across all systems.

Mentor junior data engineers and lead code reviews to maintain high engineering standards.

Experience: 5 years of professional experience in data engineering software engineering or a similar data-focused role.

Technical Stack: Advanced proficiency in SQL Python or Scala for data manipulation and pipeline development.

Big Data Tools: Hands-on experience with big data processing frameworks like Apache Spark Kafka or Airflow.

Cloud Platforms: Proven experience building data solutions on cloud platforms such as AWS Google Cloud Platform (GCP) or Microsoft Azure.

Data Modeling: Strong understanding of dimensional modeling data warehousing concepts and data lake architectures.

Soft Skills: Excellent problem-solving abilities strong communication skills and the ability to lead projects independently.

Benefits

• Competitive salary and performance-based bonuses.
• Flexible working hours and remote/hybrid work options.
• Health insurance coverage and wellness benefits.
• Continuous learning budget for certifications conferences and courses.
• Collaborative high-growth and innovation-driven work culture.

Our Hiring Process:

1. Initial Screening: A brief review of your background and technical fit.
2. Technical Interview: A discussion on data architecture pipeline design and hands-on coding scenarios.
3. Final Interview: A conversation with our team leadership to align on goals and culture.