Manager Data and Analytics - Mumbai - Aditya
- Aditya Birla
- 4 - 8 years
- Mumbai
- 6 years ago
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Job Description
Professional Experience description:
We are looking for a candidate with 4 years of experience in a Data Engineer or equivalent role, with Graduate degreein Computer Science, Engineering, Statistics or Information Systems. The ideal candidate should also have experience using the following software/tools/methodologies:
Experience with big data tools: Hadoop, Spark,Kafka, etc.
Experience with relational SQL and NoSQLdatabases, including Postgres and Cassandra.
Experience with AWS cloud services: S3, EC2, Glue,EMR, RDS, Redshift, Athena, etc. (AWS Certification preferred)
Experience with stream-processing systems: AWSKinesis, Storm, Spark-Streaming, etc.
Experience with object-oriented/object functionscripting languages: Python, Java, C , Scala, etc.
Strong project management skills especiallyAgile.
Strong analytic skills related to working withunstructured datasets.
Working knowledge of message queuing, streamprocessing, and highly scalable big data data stores.
Working SQL knowledge and experience working withrelational databases, query authoring (SQL) as well as working familiarity witha variety of databases.
Job PurposeWe are looking for an energetic individualwho can support our digital, data analytics projects and roadmap. The hire will be responsible for building and optimizing our data and data pipeline architecture, as well as optimizing data flow and data collection for cross functional teams. The individual must be self-directed and comfortablesupporting the data needs of multiple teams, systems and products. The hire will need to work closely with our business analysts, System Integrators and corporate functions.
Key Responsibility Areas are:Data Architecture:
Build the infrastructure required for optimalextraction, transformation, and loading of data from a wide variety of datasources using AWS big data technologies.
Build analytics tools that utilize the datapipeline to provide actionable insights into customer acquisition, operationalefficiency and other key business performance metrics.
Keep our data separated and secure in AWS/Cloudregions as per regulatory and company requirement.
Operation and Support
Assemble large, complex data sets that meetfunctional / non-functional business requirements.
Identify, design, and implement internal processimprovements: automating manual processes, optimizing data delivery,re-designing infrastructure for greater scalability, etc.
Find hidden patterns, utilize large data sets toaddress business issues and deliver regular updates to stakeholders.
Drive adoption & awareness:
Work with stakeholders including the Trade, Riskand Finance teams to assist with data-related technical issues and supporttheir data needs.
Create data tools for data scientist and digitalteam members that assist them in building and optimizing company s data asset.
Monitor consumption of data across teams and Identifyways to improve data reliability, efficiency and quality.
Key Challenges:
Business
SSOE is a geographically spreadbusiness with hybrid application architecture and multiple integration touch points. Close co-ordination between key users, System integrators andmultiple teams is extremely critical to deliver results. The organizational dataresides in multiple systems and in varied forms across geographies that needs to be collected and manage efficiently.
Build Data Asset
We are in the process of building adata lake for storing both structured and unstructured data. The structure datalargely resides in our existing business systems. The unstructured and semistructure data is currently being collected manually from multiple externalsystems and agencies. Few data sources are known, and few are evolving. It isimportant to prioritize the data management projects that delivers significant businessvalue. It is critical that IT should provide consistent data while addressing reporting and analytics use cases.
Manage End to end project delivery:
Manageentire project related activities such as business requirement finalization, RFP preparation, vendor negotiation and on-boarding, resources selection, project plan preparation and monitoring, closure, adoption, Manage / Lead cross functional project team.
Building relationship:
Partner with Head-IT to understand business priorities, provide necessary support fordigital and analytics projects, share latest updates on new products / technology. Influence business owners / stakeholders to adopt latest technology & global best practices in the area of digital and analytics.
Job Classification
Industry: Construction, Engineering, Cement, MetalsFunctional Area: IT Software - Application Programming, Maintenance, Role Category: System Design/Implementation/ERP/CRMRole: System Design/Implementation/ERP/CRMEmployement Type: Full timeEducation
Under Graduation: B.Tech/B.E. in ComputersPost Graduation: Post Graduation Not RequiredDoctorate: Doctorate Not Required, Any Doctorate in Any SpecializationContact Details:
Company: Aditya BirlaLocation(s): Mumbai
Keyskills: Computer science Customer acquisition Data management Data collection Agile Project delivery RFP Operations Analytics SQL
Aditya Birla
Aditya Birla Management Corporation Pvt. Ltd Aditya Birla Management Corporation Pvt. Ltd. (ABMCPL) is the Aditya Birla Group's decision making body and provides strategic direction and vision to all its Group Companies. The Aditya Birla Group is an Indian multinational conglomerate, headquart...
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