Key Responsibilities:
- Lead and manage end-to-end big data projects, ensuring timely delivery and quality outcomes.
- Collaborate with cross-functional teams to define project scope, goals, and deliverables
- Oversee the design and implementation of big data solutions using Scala and other relevant technologies.
- Ensure effective utilization of Hive for data warehousing and analysis.
- Monitor project progress, identify risks, and implement mitigation strategies.
- Facilitate communication and collaboration among stakeholders to achieve project objectives.

Minimum Qualifications:
- B.Tech degree in Computer Science, Information Technology, or a related field.
- 5-15 years of experience in managing big data projects.
- Proficiency in Scala and Big Data technologies.
- Strong leadership and project management skills.

Preferred Qualifications:




- Experience with Hive and other data warehousing tools.
- Proven track record of successful project delivery in a big data workplace.
- Excellent communication and interpersonal skills.
- Ability to adapt to changing project requirements and priorities.
- Familiarity with agile methodologies and tools.

Good to have skills:

Apache Spark, Data Analysis, Hadoop, Python, Data Visualization

Technical and Professional Requirements

Technology-> Technology|Big Data - Data Processing|PySpark,Technology|Big Data - Hadoop|Hadoop|Hive,Technology|Functional Programming|Scala

Preferred Skills

Technology->Big Data->Big Data - ALL

Technology->data science

📌 Bigdata And Hadoop Developer_MK (Bengaluru)
🏢 Infosys
📍 Bengaluru