Senior Data Analyst 1

1 day ago

Bangalore Karnataka India FYERS Securities Full time ₹ 8,00,000 - ₹ 12,00,000 per year

We are seeking a highly skilled Data Engineer with a strong background in data architecture, data modeling, and data pipeline development. The ideal candidate will have a passion for data and a proven track record of designing and implementing scalable data solutions. This role requires collaboration with cross -functional teams to support data -driven decision -making and enhance our data infrastructure.Design, develop, and maintain robust data pipelines and ETL processes to support data integration and analytics.Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high -quality data solutions.Optimize and improve existing data systems and processes for performance and scalability.Implement data governance and best practices to ensure data quality and security.Monitor and troubleshoot data -related issues, providing timely resolutions.Stay current with industry trends and emerging technologies in data engineering and analytics.Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement. RequirementsBachelor's degree in Computer Science, Engineering, or a related field.Minimum of 3 years and maximum of 6 years of experience in data engineering or a related role.Proficiency in programming languages such as Python, Java, or Scala.Strong experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).Familiarity with data warehousing solutions and big data technologies (e.g., Hadoop, Spark).Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data services.Knowledge of data modeling, data architecture, and data governance principles.Excellent problem -solving skills and attention to detail.Strong communication and collaboration skills, with the ability to work effectively in a team environment. Preferred Qualifications:Experience with data visualization tools (e.g., Tableau, Power BI).Familiarity with machine learning concepts and frameworks.Knowledge of DevOps practices and CI/CD pipelines for data engineering.

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