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Job Description

Job Description :


Key Responsibilities :

- Design, build, and maintain scalable data pipelines and ETL workflows.

- Develop and optimize data models for analytics and reporting.

- Collaborate with data scientists, analysts, and business teams to ensure data availability and quality.

- Work with structured and unstructured data across multiple sources.

- Implement best practices for data governance, security, and compliance.

- Optimize performance of large-scale data systems and troubleshoot data-related issues.

- Deploy and manage data workflows on cloud platforms (AWS, Azure, or GCP).

Required Qualifications :

- 7+ years of experience as a Data Engineer or in a similar role.

- Strong programming skills in Python, SQL, and/or Scala.

- Hands-on experience with big data tools (Spark, Hadoop, Kafka).

- Experience with cloud-based data services (AWS Redshift, Azure Data Factory, GCP BigQuery, etc.).

- Proficiency in relational and NoSQL databases.

- Strong knowledge of ETL frameworks, data warehousing, and data lake architectures.

- Excellent problem-solving skills and ability to work in Agile environments.

Preferred Qualifications :

- Experience with data orchestration tools (Airflow, Luigi, Prefect).

- Familiarity with containerization and DevOps tools (Docker, Kubernetes, CI/CD pipelines).

- Knowledge of streaming data pipelines and real-time processing.

- Exposure to machine learning data pipelines is a plus.

- Strong communication and collaboration skills.


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