- Design, develop, and maintain scalable data pipelines and ETL processes.
- Build and optimize data architectures for high-performance data processing.
- Develop and maintain data lakes, data warehouses, and cloud-based storage solutions.
- Ensure data integrity, quality, and security across the organization.
- Automate data ingestion, transformation, and processing workflows.
- Collaborate with data scientists, analysts, and developers to support data-driven decision-making.
- Monitor and optimize database performance and query efficiency.
- Implement best practices for data governance, compliance, and documentation.
Required Skills & Qualifications
- β
Bachelorβs or Masterβs degree in Computer Science, Engineering, or a related field.
- β
2+ years of experience in data engineering, data warehousing, or related roles.
- β
Strong proficiency in SQL and experience with relational & NoSQL databases (PostgreSQL, MySQL, MongoDB, etc.).
- β
Hands-on experience with big data technologies (Apache Spark, Hadoop, Kafka, Airflow, etc.).
- β
Proficiency in Python, Scala, or Java for data processing.
- β
Experience with ETL/ELT tools and frameworks (dbt, Talend, Apache Nifi, etc.).
- β
Knowledge of cloud platforms (AWS, GCP, Azure) and cloud data services (BigQuery, Redshift, Snowflake, etc.).
- β
Familiarity with containerization and orchestration (Docker, Kubernetes).
- β
Experience with CI/CD pipelines and version control (Git, Jenkins).
- β
Strong problem-solving skills and ability to work in a fast-paced environment.
Nice to Have
- β Experience with streaming data processing (Kafka, Flink, Spark Streaming).
- β Knowledge of data security best practices and GDPR compliance.
- β Experience with machine learning pipelines and model deployment.
- β Certifications in AWS, GCP, or Azure data engineering.
Why Join Us?
- π Innovative projects with cutting-edge technologies.
- π‘ Opportunities for professional growth and continuous learning.
- π Flexible work environment (Remote/Hybrid).
- π― Collaborative and diverse team culture.