Data Engineer - SQL/ETL (4-7 yrs)

Job Description :

- Develop and manage scalable data pipelines on cloud platforms (AWS, Azure, Google Cloud).

- Implement data integration solutions to collect, process, and store large datasets from diverse sources.

- Optimize and maintain data storage solutions (data lakes, data warehouses) for performance and cost-efficiency.

- Ensure data quality, security, and compliance with industry standards and regulations.

- Collaborate with data architects, data scientists, and other stakeholders to meet data needs.

- Automate data workflows and processes using orchestration tools.

- Monitor and troubleshoot data pipelines to ensure reliability and performance.

- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

- 4+ years of experience in data engineering, with a strong focus on cloud platforms.

- Proficiency in cloud services such as AWS (Redshift, S3, Glue), Azure (SQL Data Warehouse, Blob Storage, Data Factory), or Google Cloud (BigQuery, Cloud Storage, Dataflow).

- Strong programming skills in languages such as Python, Java, or Scala.

- Experience with SQL and NoSQL databases.

- Familiarity with ETL tools and frameworks.

- Knowledge of data governance, data quality, and data security best practices.

- Excellent problem-solving skills and ability to work in a fast-paced environment.

- Strong communication and collaboration skills.