Practice Head - Bengaluru, India - Spot Your Leaders & Consulting
Description
PRACTICE HEAD- ANALYTICS
As a Data Engineering & Analytics Practice Head you will be responsible for providing advisory and thought
leadership on the provision of analytics environments leveraging Cloud based platforms, big data technologies,
including integration with existing data and analytics platforms and tools. You would be leading multiple
competencies within data engineering & analytics, guiding communities on next best technologies, and helping
them plan next set of solutions and services in their respective technologies to present to customer.
You will drive pre-sales and design, implement analytics, scalable data architectures, and information solutions
covering data security, data privacy, data governance, metadata management, multi-tenancy and mixed
workload management, implement projects and provide delivery oversight.
Roles and Responsibilities:
Data Engineering & Analytics Head takes up end to end ownerships of pre-sales, service offerings, external &
internal communications, projects and provide valuable inputs to define strategies. You will do this by:
• Responding to client RFI, RFP documents with proper solution design including cost estimates
• Understanding customer requirements and create technical proposition
• Contributing to SoWs, technical project roadmaps, etc required for successful execution of projects
leveraging Technical Scoping & Solutioning approach
• Leading analyst briefings and presentations
• Managing all aspects of technical solutions development and ensure successful project deliveries
• Ensuring code review and developing best practises as & when needed
• Estimating effort, identifying risk and providing technical support whenever needed
• Demonstrating the ability to multitask and re prioritizing responsibility based on dynamic requirements
• Leading and mentoring various practice competency practice teams as needed
Skills Required :
15-20 Years of Data and Analytics experience with minimum 5+ years in one of cloud platforms like Azure, AWS
or GCP Cloud native data services
1. Experience working on cloud platforms (AWS/Azure/Google Cloud)
2. Hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive,
Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra)
3. Experience with related/complementary open source software platforms and languages (e.g. Java,
Python, Scala)
4. Working experience with ETL (Extract-Transform-Load) tools (e.g. Informatica, Talend, Ab Initio,
Pentaho)
5. Experience working with various data visualization tools (e.g. Tableau, Power BI, Oracle Analytics
Cloud etc.)
6. Analytical and consulting skills
7. Strong written, verbal, and presentation communication skills
8. Be able to work with customers independently
9. Excellent communication skills interviewing, preparation and delivery of presentations and reports
10. Working within a project management/agile delivery methodology in a leading role as part of a wider
team