30/08 Deo Ranjan Kumar
Management Trainee at Pylon Management Consulting

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Chief Executive Officer - Data Management - IT (18-22 yrs)

Bangalore Job Code: 737724

Description

As a Brillian what your day would look like:

- Develop the strategy for the Data CoE and drive the execution to aligned outcomes.

- You will actively establish yourself as a trusted consultant to our customers (CXO, VP level) with your expertise on data strategy.

- You consult to develop organizational roadmaps on Data including Data integration, Meta-data management, Data quality, Data governance, etc

- You lead a team of Cloud-Big-Data architects to bring technical thought leadership and innovation

- Recruit, train, motivate, evaluate, and retain a staff of highly skilled Data Engineering professionals.

- Provide ongoing leadership and motivation to ensure that the team is focused committed and capable of producing expected results.

- You will be responsible for supporting our team in winning new business by owning the technical responses to RFI/RFPs

- You will work on creating a variety of Data driven solutions, accelerators and IP

- Leverage your team to elevate the level of technical sophistication of our projects.

- You will partner closely with various practice teams (Delivery, Data-Science, Visualizations, etc) to deliver state-of-the-art outcomes by engineering solutions.

To succeed, you- d have technical experience and expertise in -

A. For you to be successful, you must:

- Build partnerships within and outside the team regardless of formal authority

- Dismantle personal knowledge and empower others by mentoring and fostering an environment of growth

- Create value by anticipating and meeting the needs of internal and external customers and delivering high-quality results and be accountable for outcomes

- Open and flexible to accommodate and implement new ideas, understand business complexities, nurture innovation and challenge the status quo persistently

- Grasp data that is available, pay attention to details and strive to be subject matter expert in the chosen area of specialty through continuous learning and improvement

B. You- ll bring this to the table: -

- Experience in consulting with Customer Data leaders to define data analytics strategy for clients, provide thought leadership, create an implementation roadmap

- Prior experience in discovery assessments of data landscape, drive understanding of data consumption requirements and use cases, data profiling and data quality assessment.

- Experience leading a team of seasoned architects and specialists to the solution and build enterprise-grade data analytics solutions that are flexible, scalable and secure.

- Develop policies, guidelines and standards that steer the technology teams within the Data analytics practice.

- Career progression with prior hands-on experience developing enterprise solutions using designing and building frameworks, enterprise patterns, database design and development

- End to end Cloud solution on AWS (EC2, S3, EMR, Spectrum, Dynamo DB, RDS, Redshift, Glue, Kinesis) / Azure (Azure SQL DW, Azure Data factory, HDInsight, Cosmos DB, PostgreSQL, SQL on Azure)

- End to end Big data solution on Cloudera/Hortonworks/MapR

- Real-time solution using Spark streaming, Kafka/Apache pulsar/Kinesis

- Batch solution and distributed computing using ETL/ELT (SSIS/Informatica/Talend/Spark SQL/Spark Data frame/AWS Glue/ADF)

- Distributed compute solution (Spark/Storm/Hive/Impala)

- Functional solutions - Identify the use cases and define solutions which will result in $ value revenue/savings to customers

- Distributed storage and NoSQL storage (Cassandra, Mongo DB, Datastax)

- Languages (Python, Scala)

- DW-BI (MSBI, Oracle, Teradata), Data modeling, performance tuning, memory optimization/DB partitioning

- Frameworks, reusable components, accelerators, CI/CD automation, container deployments

- Data governance and Data security using Apache atlas, Falcon, Ranger, Erwin, Metadata manager

- Supported large sales pursuits and presales activities by providing technical solutions a product mindset

- Ability to work in ambiguous situations with unstructured problems and anticipate potential issues/risks

- Excellent relationship building and organizational skills

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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