On-site
Full Time
Design, develop, and maintain scalable and efficient data pipelines and ETL processes.
Collaborate with stakeholders to understand data needs and provide solutions.
Build and maintain databases and data warehouses to support analytics and reporting.
Ensure data quality, integrity, and security across all systems.
Implement and optimize data storage solutions for performance and scalability.
Monitor, troubleshoot, and resolve issues in data pipelines and systems.
Document data workflows, processes, and best practices.
Stay updated on emerging trends, tools, and technologies in data engineering.
Proven experience as a Data Engineer or in a similar role.
Proficiency in programming languages like Python, Java, or Scala.
Strong experience with SQL and database technologies (e.g., MySQL, PostgreSQL, MongoDB).
Hands-on experience with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
Familiarity with ETL tools and workflows (e.g., Apache Airflow, Talend, Informatica).
Knowledge of data modeling, data warehousing, and schema design.
Experience with version control systems like Git.
Excellent problem-solving and analytical skills.
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