7 - 12 years
30 - 45 Lacs
Posted:4 days ago|
Platform:
Work from Office
Full Time
* Current Location :
Collaborate with business, technology and strategic stakeholders to establish a data architecture aligned to the overarching business data strategy and program goals.
Design conceputal, logical and physical data models to support transactional and analytics applications
'-Lead the architectural design and implementation of scalable, secure, and high-performance data platforms using AWS services.
-Collaborate closely with the data engineering team to understand their requirements and provide architectural guidance and solutions.
-Develop and maintain architectural standards, best practices, and guidelines for data infrastructure.
-Ensure the integration of various data sources and systems into a cohesive data platform.
-Optimize data workflows and pipelines for performance, reliability, and scalability.
-Provide technical leadership and mentorship to the data engineering team.
-Stay updated with the latest trends and technologies in cloud computing, data engineering, and Azure and AWS services.
-Conduct regular reviews and audits of the data platform to ensure compliance with security and governance policies.
-Work with stakeholders to define and implement data governance and data management strategies.
Experience in Data Modeling, Master Data Management, Metadata Management, Data engineering, Data Quality Metrics
'-Experience with with AWS services, including AWS Glue, Amazon Redshift, Amazon S3, AWS Lambda, and Amazon RDS.
-Strong understanding of cloud architecture principles and best practices.
-Proficiency in programming languages such as Python, Java, or Scala.
-Deep knowledge of data modeling, ETL processes, and data warehousing concepts.
-Experience with CI/CD pipelines and version control systems like Git.
-Excellent problem-solving skills and attention to detail.
-Strong communication and leadership skills.
-Ability to work collaboratively with cross-functional teams and stakeholders.
-Knowledge of security and compliance standards related to cloud data platforms.
Domain Expertise
Manufacturing Industry
Chemical Processing
Supply Chain and Logistics
SDLC and project experience
Technical / Functional Skills
Data Architecture: Expertise in Data Architecture, and Data Governance, including designing conceptual, logical, and physical data models.
SAP Expertise: Good overall knowledge on SAP ECC and S/4HANA, including developing CDS Views, building queries in SAP HANA Studio, and implementing solutions using SAP HANA.
Data Warehousing: Extensive experience implementing data warehouses on cloud platforms (Snowflake, Redshift, Google BigQuery) or any relational databases.
Programming and SQL: Strong expertise in SQL or ABAP or programming languages like Python or R.
Expertise on Master Data Management
Data Management: Experience with data analysis, data profiling, and data cleansing.
BI and Data Integration Tools: Experience with BI tools like Power BI, Tableau, or SAC, and data integration tools like HVR/Fivetran, SAP BODS, or Talend.
Cloud Services: Experience with AWS implementation.
Experience with Gen AI use cases
Project Experience
Data Modeling:
Designed data models for data warehouses on cloud platforms based on SAP ECC/S4 data.
Data Ingestion/Warehousing:
Hands-on experience in the end-to-end implementation of data ingestion and warehousing on AWS/Snowflake.
Cloud Architecture:
Experience in designing data architecture for cloud platforms.
Communication and Collaboration:
Strong communication and collaboration skills, able to effectively communicate technical information.
SAP Certified Application Specialist - SAP BW/4HANA
SAP Certified Application Associate - SAP S/4HANA
AWS Cloud Practitioner
SnowPro Core Certification
SnowPro Advanced: Architect
'Team Leadership: Provide leadership and guidance on design and management of data for data applications, formulate best practices and organize processes for data management, governance and evolution. Build processes and tools to maintain high data availability, quality and maintainability. Lead and mentor a team of data professionals, including data analysts, data engineers, and database administrators.
Strategic Planning: Become a trusted analytical leader and partner to the functional areas of support and proactively identify improvement opportunities through analytics.
'Data Management: Oversee the collection, storage, and maintenance of data to ensure efficiency and security.
Data Quality: Implement processes to ensure data accuracy, consistency, and reliability.
Data Integration: Coordinate the integration of data from various sources to provide a unified view.
Data Governance: Establish and enforce policies and procedures for data usage, privacy, and compliance.
Stakeholder Collaboration: Work closely with other departments to understand their data needs and provide tailored solutions.
'5+ years experience leading teams in the implemenation of Data Analytics applications
5+ years of hands-on design and development experience in implementing wide ranage of Data Analytics applications on AWS/Snowflake/Azure Open AI using data from SAP, SalesForce and other data sources
Experience with AWS Services such as S3, Glue, AWS Airflow, Snowflake
'Proven experience in analytics, data management, data integration, and data governance.
Excellent understanding of data quality principles and practices.
Proficiency in data management tools and technologies.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills.
Domain Expertise
Manufacturing Industry
Chemical Processing
Supply Chain and Logistics
SDLC and project experience
Expertise in SAP/SAP BW, Snowflake, AWS Data Analytics Services, BI Tools, Advanced Analytics
Atleast 3+ years of experience in the implementation of all the Amazon Web Services (listed above)
Atleast 3+ years of experience as a SAP or SAP BW Developer
Atleast 3+ years of experience in Snowflake (or Redshift or Google Big Query or Azure Synapse)
Atleast 3+ years of experience as Data Integration Developer in Fivetran/HVR/DBT, Boomi (or Talend/Infomatica)
Atleast 2+ years of experience with Azure Open AI, Azure AI Services, Microsoft CoPilot Studio, PowerBI, PowerAutomate
Visualization Tools: Proficiency in data visualization tools like Tableau, Power BI, or Looker.
Experience implementing wide range of Gen AI Use Cases
Hands on experience in the end-to-end implementation of Data Analytics applications on AWS
Hands on experience in the end to end implementation of SAP BW application for FICO, Sales & Distribution and Materials Management
Hands on experience with Fivetran/HVR/Boomi in development of data integration services with data from SAP, SalesForce, Workday and other SaaS applications
Hands on experience in the implementation of Gen AI use cases using Azure Services
'Hands on experience in the implementation of Advanced Analytics use cases using Python/R
Certifications in project management (e.g., PMP, PRINCE2)
AWS Certified Data Analytics - Specialty
Warm Regards,
**Sanjay Mandavkar**
Recruitment Manager | Think People Solutions Pvt. Ltd.
Empowering People. Enabling Growth.
Email : sanjay@thinkpeople.in
www.thinkpeople.in
Think People Solutions
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