We are seeking a seasoned Big Data - Senior to lead our data analytics initiatives and drive data-driven decision-making across the organization. This role is crucial for leveraging vast amounts of data to uncover actionable insights that will propel our business forward. The ideal candidate will have a strong background in data analysis and a proven track record of implementing complex data solutions. They will play a pivotal role in shaping our data strategy and enhancing our competitive edge.

Experience Required:

5+ years

Key Responsibilities:

- Develop and implement advanced data analytics solutions to support business objectives.
- Lead a team of data scientists and analysts to achieve project goals and deliverables.
- Collaborate with cross-functional teams to understand data needs and deliver effective data solutions.
- Design, develop, and maintain data architecture and infrastructure to support data processing and analysis.
- Create and manage comprehensive data models and analytical frameworks.
- Optimize data collection and storage processes to improve efficiency and accuracy.
- Conduct in-depth data analysis to identify trends, patterns, and insights.
- Develop and deploy machine learning models to enhance data-driven decision-making.




- Provide expert guidance and mentorship to junior data analysts and engineers.
- Stay abreast of the latest advancements in big data technologies and methodologies.

Qualification Criteria:

- Minimum of 5 years of experience in big data and data analytics.
- Proven track record in leading data projects and teams.
- Strong understanding of big data technologies and tools.
- Excellent problem-solving skills and analytical thinking.
- Experience with data warehousing, ETL processes, and data visualization tools.
- Strong communication skills to effectively convey complex data insights.
- Degree in Computer Science, Data Science, or a related field.
- Advanced knowledge of SQL and experience with big data frameworks.
- Proficiency in programming languages such as Python or R.
- Ability to work in a rapid-paced environment and manage multiple projects simultaneously.

Primary Skills:

- big data
- data analytics
- SQL

Key Skills:

- data warehousing
- ETL
- data visualization
- machine learning
- Python
- R
- Hadoop
- Spark
- NoSQL
- data governance
- data architecture
- data modeling
- data mining
- data engineering
- project management

📌 Big Data Developer (Bengaluru)
🏢 SPECTRUM TALENT MANAGEMENT
📍 Bengaluru