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.

- Robust 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 environment.

- 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 (Hyderabad)
🏢 Infosys
📍 Hyderabad