Consultant - Data Architect - Full Time Role RESPONSIBILITIES : - Understand the Digilytics vision and help in creating and maintaining a development roadmap - Interact with clients and other team members to understand client-specific requirements of the product - Contribute to product development team and deliver product releases in a timely manner - Ensure the quality of the product delivered - Develop client-specific solutions using the product - Liaise with multiple stakeholders and coordinate with our onshore and offshore entities EXPECTED AND DESIRED SKILLS : Experience with: - Azure Data Factory, Azure Data Lake is a MUST. - Stream data processing using Spark Streaming, IoT Hub, Kafka or any other services - Integration of data from multiple data sources - NoSQL databases, such as HBase, Cassandra, MongoDB - Big Data ML toolkits, such as Mahout, SparkML, or H2O is a plus - Cloudera/MapR/Hortonworks is a plus - Processing high volume of data using Hadoop, Spark or Azure based services is a MUST. - Proficient understanding of distributed computing principles - Management of Hadoop cluster, with all included services - Proficiency with Hadoop, MapReduce, HDFS - Experience in Data Model design for complex apps - Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala - Knowledge of various ETL techniques and frameworks, such as Flume - Excellent understanding of analytical techniques and technology landscape - Good interpersonal skills and the ability to communicate ideas clearly at all levels - Ability to work in unfamiliar business areas and to use your skills to create solutions - Ability to both work in and lead a team and to deliver and accept peer review - Flexible approach to working environment and hours to meet the needs of the business and clients EXPERIENCE: - A start up mind set with proven experience working in both smaller and larger organisations having multicultural exposure - Between 5-8 years of experience working closely with the relevant technologies, and developing world-class software and solutions - Good Understanding of analytics tools and landscape - Understanding of computational analysis, search and / or machine learning techniques is an advantage - Domain and industry experience by serving customers in one or more of these industries - Financial Services, Professional Services, other Retail Consumer Services EDUCATION : - A Bachelor degree, or equivalent, in Software Engineering and Computer Science with strong programming content from a leading technical institute - An advanced degree, or equivalent, such as a Master's or PhD is an advantage

Gurgaon/Gurugram

Digilytics - Consultant - Data Architecture - Big Data 

Digilytics - Consultant - Data Architecture - Big Data  ,Job Description for Digilytics - Consultant - Data Architecture - Big Data  in Digilytics AI in  Gurgaon/Gurugram for (5-8) years of experience. Apply Now!

Job Description for Digilytics - Consultant - Data Architecture - Big Data  in Digilytics AI in  Gurgaon/Gurugram for (5-8) years of experience. Apply Now!