Senior Manager- Data Analytics

Design and develop robust and scalable ETL processes to ingest and process large datasets from various sources.
About Us:
We are a dynamic fintech firm dedicated to revolutionizing the financial services industry through innovative data solutions. We believe in leveraging cutting-edge technology to provide superior financial products and services to our clients. Join our team and be a part of this exciting journey.
Job Overview:
We are looking for a skilled Data Engineer with 3-5 years of experience to join our data team. The ideal candidate will have a strong background in ETL processes, data pipeline creation, and database management. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data systems and pipelines.
Key Responsibilities:
Design and develop robust and scalable ETL processes to ingest and process large datasets from various sources.
Build and maintain efficient data pipelines to support real-time and batch data processing.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
Optimize database performance and ensure data integrity and security.
Troubleshoot and resolve data-related issues and provide support for data operations.
Implement data quality checks and monitor data pipeline performance.
Document technical solutions and processes for future reference.
Required Skills and Qualifications:
Bachelor's degree in Engineering, or a related field.
5-8 years of experience in data engineering or a related role.
Strong proficiency in ETL tools and techniques.
Experience with SQL and relational databases (e.g., MySQL, PostgreSQL).
Familiarity with big data technologies
Proficiency in programming languages such as Python, Java, or Scala.
Knowledge of data warehousing concepts and tools
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Preferred Qualifications:
Experience with data visualization tools (e.g., Tableau, Power BI).
Knowledge of machine learning and data science principles.
Experience with real-time data processing and streaming platforms (e.g., Kafka).
What We Offer:
Competitive compensation package (12-20 LPA) based on experience and qualifications.
Opportunity to work with a talented and innovative team in the fintech industry..
Professional development and growth opportunities.
Knowledge of data warehousing concepts and tools