Analytics Architect - Bengaluru, India - Ericsson

Ericsson

Verified Company

Bengaluru, India

3 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

About this opportunity:

As an Architect for Data Analytics, you will Join our highly regarded Architecture team and will be accountable for implementing and maintaining analytics solutions and architectures that are in-line with the organization's overall strategy in the area of Data, Analytics and AI.

What you will do :

Strategic, Tactical and Operational:

Facilitate requirement analysis with Stakeholders for Data Collection, Analytics, & Machine Learning Requirements
Work with Digital Product Owner to ensure understanding of business requirements in Data Management for the respective functional area
Responsible for technical solutions in the context of Data Collections, Analytics, & Machine Learning ensuring alignment of data services architecture and architectural principles and to business needs
Work with Developers and other FA Architects for multifunctional data requirements
Support with technical lead scrum teams during development.
Define and design appropriate interfaces for data update, retrieval queries and recommended workflows based on specific data use case
Accountable for technical documents when needed, e.g. FA or solution level architecture descriptions, SOD (Solution Overview Document), Design Specs.
Lead prototype activities and technology specialists anticipating features/services to evolve
Contributing to relevant study/PoC activities for backlog items
End2End responsible for the study results for initiatives aimed for respective area, including value propositions
Drive and/or Engage in initiatives prioritized by Leadership for PoC/study or implementation relevant to the Data Management Area
Provide Technical guidance/support and inputs to Platform teams for Capacity Management

You will bring :

Strong prior experience in Data Warehousing and BI, irrespective of technology.
Knowledge of enterprise architecture concepts and approaches. TOGAF certification desired, though not required.
Master data management technologies, mapping requirements into technical descriptions, leading all aspects of the development and delivery of functions & solutions for data services
Strong handson prior experience as BI/ETL developer.
Knowledge in establishing methods and procedures for tracking data sources, data lineage, data quality, completeness, duplication vs. replication, data dictionary, data models, metadata and master data
Knowledge of database design principles and data administration standards,
Knowledge of multiple database platforms and design and support tools, including handson experience with at least one database platform
Solid grasp of data governance frameworks
Good business and market understanding and capable of seeing the big picture. Business Understanding and Requirements Analysis
Possess Good Accountability & Ownership qualities.
Able to multitask/handle parallel work
Planning & Organizing Skills along with Knowledge and Collaborations Skills.
Openminded and flexible
Ability to work in a distributed and international organization
Delivering result & meet customer expectation
Presenting & Communicating Info
Deciding and initiating actions
Strong problemsolving capabilities.

Education / Experience Required (In Years)

Software/tools:

Following experiences and skills are required.

Cloud Platform e.g. Azure, AWS etc.
Cloud Native Data Platforms (Snowflake, Databricks)

- .NET Framework

MS SQL Server
C#, Python, VB.NET
Microsoft Power BI
Manufacturing Business Process and Domain Knowledge
Supply Business Process and Domain Knowledge
Data ingestion and provisioning over APIs
Batch and streaming processing (for instance Apache Spark, Storm) and relevant backend languages (Python and SQL)
Software Development including Agile/Scrum, CI/CD, Testing and Configuration Management, GIT/Gerrit

Any of the experiences and skills listed below is a merit, the more the better

Cloud Agnostic Data Platforms such as Snowflake, Databricks and SAP Data Warehouse Cloud
Cloud Data Platforms (Azure Synapse Analytics, Amazon Redshift)

Azure services

Azure Data factory (ADF), Azure Databricks (ADB)
Authorization methods including Role Based Access Control and Policy Based Access Control.
RDBMS such Oracle, MS SQL, MariaDB or PostGRE, both row based and columnar based
BI Tools Such as Tableau, and webbased dashboards & solutions

Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more.

Primary country and city:
India (IN) || India : Karnataka : Bangalore

Req ID: 738524