
Senior Data Pipeline Developer
4 days ago
We are seeking a skilled Data Engineer to design and develop robust data pipelines and ETL processes to support analytics and reporting needs.
Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality solutions.
Implement data integration solutions across structured and unstructured data sources.
Ensure data quality, integrity, and security across all stages of the data lifecycle.
Optimize data workflows for performance and scalability in cloud and on-premise environments.
">- Key Responsibilities:
- Design and develop ETL processes and data pipelines.
- Collaborate with cross-functional teams to identify data requirements.
- Develop and implement data integration solutions.
- Ensure data quality and security.
- Optimize data workflows for performance and scalability.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
- 3+ years of experience in data engineering or related roles.
- Proficiency in SQL and Python or Scala.
- Experience with data pipeline tools such as Apache Spark, Kafka, Airflow, or similar.
- Familiarity with cloud platforms (AWS, Azure, or GCP).
- Strong understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery).
- Knowledge of data governance, security, and compliance standards.
Preferred Skills
- Experience working in regulated industries.
- Familiarity with DevOps practices and CI/CD pipelines.
- Exposure to machine learning workflows and data science collaboration.
- Strong communication and stakeholder management skills.
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