SEO Specialist

1. GCP - GCS, PubSub, Dataflow or DataProc, Bigquery, BQ optimization, Airflow/Composer, Python(preferred)/Java

2. ETL on GCP Cloud - Build pipelines (Python/Java) + Scripting, Best Practices, Challenges

3. Knowledge of Batch and Streaming data ingestion, build End to Data pipelines on GCP

4. Knowledge of Databases (SQL, NoSQL), On-Premise and On-Cloud, SQL vs No SQL, Types of No-SQL DB (At Least 2 databases)

5. Data Warehouse concepts - Beginner to Intermediate level

6.Data Modeling, GCP Databases, DB Schema(or similar)

7.Hands-on data modelling for OLTP and OLAP systems

8.In-depth knowledge of Conceptual, Logical and Physical data modelling

9.Strong understanding of Indexing, partitioning, data sharding, with practical experience of having done the same

10.Strong understanding of variables impacting database performance for near-real-time reporting and application interaction.

11.Should have working experience on at least one data modelling tool,

preferably DBSchema, Erwin

12Good understanding of GCP databases like AlloyDB, CloudSQL, and

BigQuery.

13.People with functional knowledge of the mutual fund industry will be a plus Should be willing to work from Chennai, office presence is mandatory

Role & Responsibilities:

● Work with business users and other stakeholders to understand business processes.

● Ability to design and implement Dimensional and Fact tables

● Identify and implement data transformation/cleansing requirements

● Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse

● Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions

● Design, develop and maintain ETL workflows and mappings using the appropriate data load technique

● Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions.

● Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use.

● Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality.

● Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.

● Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into reporting & analytics.

● Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.

● Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.

● Train business end-users, IT analysts, and developers.

Visionyle is Hiring Lead Data Architect 

Role:

· Lead Data Architect Snowflake

Job Location: Mumbai, Pune

Experience: 15-25 yrs

Client: Capita

Job Type: FTE

Job Description: 

· Mandatory Skills:

• Data Architecture, Microsoft Azure, Databricks, Snowflake, Azure Synapse Analytics, Data Modelling, Application Integration, Presales.

· Good to Have Skills:

• Microsoft Fabric, Data Strategy / Governance, Data Visualisation, Data Science / AI, DevOps / Cloud Infrastructure
• Experience in end-to-end project all aspects of our delivery right from initiating a project from technology side, initiating a project meaning understanding the requirements from stakeholder, designing architecture in it right up to production and production support organization, support, pre-sales, estimations, costing.

Certifications:

Candidates possessing one or more of the following certifications will be highly preferred:

• Databricks Certified Data Engineer Associate or Professional

• Databricks Partner Solution Architect Champion

• SnowPro Advanced: Data Engineer

• SnowPro Advanced: Architect

• Microsoft Azure Certifications in Data Engineering, Artificial Intelligence (AI), or Solution Architecture.

Applicants holding any of the above certifications are encouraged to apply.

Roles & Responsibilities:

• The Lead Data Architect is responsible for providing strategic leadership and technical expertise in data architecture to drive innovation and excellence in solution delivery.
• With a focus in client satisfaction and project success, lead a team of data professionals, providing mentorship, guidance and support to ensure the successful execution of projects

Responsibilities:

* Collaborate with sales team on lead generation

* Manage social media campaigns

* Analyze digital metrics & report insights

* Develop & execute digital strategies

*Good knowledge about Graphic Design

*Support with Real Estate processes

• his role requires someone who will be responsible for executing and managing all activities related to product cataloging & pricing, ensuring all product details and prices on the platform are correct and updated
• The individual should have a sound understanding of Vendor Management, Operations, Attributes of the catalog, Category Knowledge.
• Ensuring an error free output & 0% escalations.
• Maintaining categorization of the products on the platform, Updating product information, including images and prices
• Uploading inventory stock positions Operational & co-ordination activities related to the catalog
• Manage Adhoc requests from Category and other internal teams and resolve them within a Specific TAT
• Demonstrate a flexible attitude and be responsive to change and last-minute requests.
• ​​Creation of vendors codes and Entering vendor details in the system. Setting up SKUs on the system. Assisting merchant team with required documentation with other functions and vendors.
• ​​Perform a variety of tasks in populating/procuring content for the product catalog from vendors. Engage with vendors to get product information as per the defined templates of attributes and images. The work includes content creation, population of content from various sources (including research on the internet), interacting/coordinating with vendor/manufacturers, conducting QC, identifying and correcting errors, maintaining records of work received and work performed.

• 2-5 years of work experience in Catalogue operations.
• Should have prior experience with E-Commerce & handled external partners.
• Proficient in all MS Office, sound verbal & written communication
• A passion for always exceeding internal and external customer expectations.
• Proactive and able to work with stringent deadlines.
• Ability to follow the process - can follow SOPs consistently and quality check own work. Detail oriented.

A wholesome opportunity in a fast-paced environment will enable

you to juggle between concepts yet maintain the quality of content, interact, share your ideas, and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Plum (business vertical.‍

A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, San Francisco, and Dublin. We have three products in our portfolio: Plum, Empuls, and Compass. Plum works with over 1000 global clients. We help our clients engage and motivate their employees, sales teams, channel partners, or consumers for better business results.

We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. However, we assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.

• Complete and end to end management of training and capability building of learners in each cohort and simultaneously running cohorts
• Deep analysis of weekly progress of each individual learner and planning of remediation
• Being a mentor and guide to each individual learner, driving their strengths and addressing skill gaps so each candidate progresses to our standard of excellence in capability
• Planning and ensuring holistic readiness of all learning infrastructure including courseware, platform, labs, projects, domain based contextual learning and business (soft) skills (with support from content and other functions and leadership teams)
• Managing a team of trainers and other resources such as training assistants for optimum resource utilization and delivering best quality industry-relevant training

• At least 10 years experience in training technical areas in computer science and data engineering or cloud
• Experience in managing trainers and managing training operations
• Clear and up to date understanding of job role requirements, talent requirements, especially in data driven technical job roles
• Strong delivery experience will be an added plus