Data Manager

Hybrid Mode

Pan India Location

Work Experience:-7-12 Years

Key Responsibilities

• Manage and maintain enterprise data systems and large-scale datasets.
• Develop, optimize, and maintain data pipelines using Python and PySpark.
• Ensure data accuracy, consistency, integrity, and security across platforms.
• Implement and manage data governance, data quality, and compliance processes.
• Collaborate with business, analytics, and engineering teams to support data-driven solutions.
• Perform data analysis, transformation, cleansing, and integration activities.
• Create and maintain reports, dashboards, and technical documentation.
• Monitor and troubleshoot data workflows and processing jobs.

Required Skills

• Strong hands-on experience in Python and PySpark.
• Proficiency in SQL and database management systems.
• Experience with big data technologies and distributed data processing.
• Good understanding of ETL/ELT processes and data integration frameworks.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with data visualization tools such as Power BI or Tableau.
• Knowledge of data warehousing and data governance concepts.
• Familiarity with Agile methodologies and DevOps practices.
• Relevant certifications in cloud or data technologies are a plus.