Senior Hadoop Architect

1 month ago

Mumbai, India Smartavya Analytica Private Limited Full time

Job Title: Senior Hadoop Solutions Architect

No of Positions: 3


Experience: 12-18 years in Analytics and Big Data with at least the last 3-4 years in CDP Senior Hadoop Solutions Architect role


Location: Mumbai, India


Department: Big Data, Analytics and Cloud


Company: Smartavya Analytica Private Limited


Job Overview: Smartavya Analytica Private Limited is seeking an experienced and visionary individual to join our team as a Senior Hadoop Architect. The ideal candidate will have a deep understanding of Hadoop ecosystems, extensive experience in big data technologies, and the ability to design and implement robust data solutions.


Key Responsibilities:

• Lead the end to end architecture, design, and implementation of Hadoop-based Cloudera CDP on-prem data solutions.

• Ensure data availability, scalability, and reliability across Hadoop clusters.

• Collaborate with data engineers, data scientists, and business stakeholders to gather requirements and deliver tailored big data solutions.

• Optimize and tune Hadoop systems for performance and scalability.

• Maintain and document Hadoop environments to ensure reproducibility and reliability of data processes.

• Oversee the integration of Hadoop with other data systems and tools.

• Implement and manage data security, privacy, and governance frameworks within Hadoop ecosystems.

• Mentor and guide junior team members, fostering a culture of continuous learning and improvement.

• Drive continuous improvement initiatives to enhance Hadoop capabilities and operational efficiency.

• Communicate complex technical concepts and solutions to non-technical stakeholders effectively.


Requirements:

• Extensive proficiency in Hadoop ecosystems, including HDFS, Ozone, Kudu, Spark Streaming, YARN, Hive, and Spark. Excellent Performance tuning skills is a must

• Strong leadership and project management skills, with a demonstrated ability to manage large-scale data projects. Client Engagement and Presentation skills are mandatory

• Experience with Hadoop administration and optimization on various operating environments.

• Excellent problem-solving skills and the ability to manage failures in a production setting.

• Familiarity with Reporting tools, Data Integration Tools and ETL processes.

• Strong communication and collaboration skills to work effectively with business users and cross-functional teams.

• Ability to work in high-pressure situations and handle multiple priorities.


Preferred Qualifications:

Education:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

• Relevant certifications (e.g., Cloudera Certified Architect, Hortonworks Data Platform Certified) are a plus.

Experience:

• 12-18 years of experience in Analytics and Big Data, with at least the last 6 years or more in a senior role specifically focusing on Hadoop architecture and administration.

If you have a passion for big data technologies and a strong background in Hadoop, we encourage you to apply and be a part of our innovative team at Smartavya Analytica Private Limited.


Who We Are

At Smartavya Analytica, we are pioneers in data-driven innovation, transforming enterprise data into strategic insights. Established in 2017 as LLP, we are not a Private Limited Company and our team has significant experience in handling large datasets up to 20 PB’s, delivering many successful data and AI projects across major industries, including retail, finance, telecom, manufacturing, insurance, and capital markets. We are leaders in Big Data, Cloud and Analytics projects.


What We Do

Our expertise spans Big Data, Cloud, and AI/ML technologies, where we design scalable data architectures, migrate legacy systems, and deploy advanced analytics. We also build AI products like LakeFusionAI, SmartDocAI, DataOpsGenie, and BigBotIQ, driving innovation and maximizing ROI for our clients.


Core Service Offerings

1.     Enterprise Data & Analytics: Big Data, Hadoop, DWH, Data Lakes and Enterprise data Platforms

2.     Data Modernization & Migration: We migrate and modernize data platforms from on-prem to cloud and other similar big data and cloud platforms

3.     AI & ML: AI-powered solutions, predictive analytics, and MLOps implementation.

4.     Cloud Data Services: Cloud-native architectures, security, and DevOps automation.

5.     Managed Data Services: 24/7 monitoring, tiered support, and performance optimization.

 

Key Differentiators

We leverage cutting-edge Big Data technologies to handle petabyte-scale datasets with ease. Our real-time data processing accelerates innovation, reducing time-to-insight and enabling faster decision-making. We ensure enterprise-grade scalability and security, streamlining data management with automated workflows. Our solutions maximize ROI by optimizing data assets, retiring legacy systems, and significantly reducing operational costs, all while building AI-ready infrastructure that integrates seamlessly with advanced AI and ML applications.


Industries We Serve

We enhance customer experiences in retail with AI-driven insights, improve compliance and risk management in capital markets, deploy secure, scalable solutions for evolving financial landscapes, optimize network efficiency in telecommunications, streamline operations in manufacturing, and enhance underwriting and claims processing in insurance.


Tools, Technologies, and Platforms

·      Our team works on a wide variety of projects including wide array of tools, technologies, and platforms.

·      Our Big Data expertise includes technologies like Apache Spark, Hive, and Kafka, while we also excel in data warehousing with solutions like Teradata, Oracle, and Snowflake.

·      Additionally, we are well-versed in cloud platforms such as Google Cloud, AWS, and Azure, enabling us to deliver comprehensive and robust solutions to our clients.


Join Us

Join a team shaping the future of technology and finance. At Smartavya Analytica, you’ll work on cutting-edge projects that unlock the full potential of data for top-tier organizations.

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