Top 10 Data Warehousing Jobs Pros Should Apply for in August

August 10, 2022

4 mins read

The salary for data warehousing jobs depends on the educational qualification and experience

A data warehouse works as a central repository where data arrives from one or more data sources. Data flows into a data warehouse from the transactional system and other relational databases. Data can be structured, semi-structured, and unstructured. Also known as enterprise data warehousing, data warehousing is an electronic method of organizing, analyzing, and reporting data. For example, data warehousing makes data mining possible, which assists businesses in looking for data patterns that can lead to higher sales and profits. This article features the top 10 data warehousing jobs to apply for in August.

Investment Data Management Consultant – Market Data and Benchmarking

Luxoft, Greater Lucknow Area

Responsibilities

Business Analysis & Requirements Gathering
Understand the project objectives and requirements to ensure the right context is applied to all activities
Identify and build relationships with the appropriate internal and external stakeholders; proactively involve the right stakeholders in determining business needs and solution requirements; engage them throughout the project to build understanding, support, and change readiness
Collaborate with these external partners and internal teams to workshop, capture, and document the Agency’s Investment market data requirements

Requirements

Substantial experience working with market data and benchmark data
A strong understanding of financial data methodology
Project experience performing business analysis responsibilities
Demonstrated experience in the financial services industry
Proven ability to interact professionally with a diverse group of stakeholders, including executives, managers, SMEs, outsourced partners, and consultant

Click here to apply

Senior Analytics Consultant

Wells Fargo Telangana

Responsibilities:

The Business Intelligence Analyst will serve as a senior resource for developing and delivering high-performing reporting solutions and data analysis
Responsible for planning and performing reporting, analyses, and projects to solve a variety of business problems for a department or functional area
Perform exploratory analysis to identify the co-relations existing in the data and generate insights
Ability to leverage data visualization tools and alternative front-end solutions to deliver data

Requirements:

Extensive knowledge and understanding of research, analysis, data aggregations, and reconciliation processes
Ability to perform trend analysis, forecasting, and pattern recognition
Exploratory Data analysis and insights
Data analysis
Advanced exploratory data analysis skills using SQL, excel, etc.

Click here to apply

Sr. Data Modeler

Thomson Reuters Bengaluru

Responsibilities:

Design and deliver the Enterprise Commercial Data Architecture Model. You will map the data journey from operational system sources through any transformations in transit to its delivery into enterprise repositories (Warehouse, Data Lake, Master Data, etc.)
Innovate with new approaches to data modeling that meet and exceed the functional requirements as presented by business stakeholders

Click here to apply

EY-GDS Consulting-ODI-contractor

EY Kolkata

Responsibilities:

Need to work as a team member and Lead to contribute to various technical streams of ODI implementation project.
Provide product and design level technical best practices
Interface and communicate with the onsite coordinators
Completion of assigned tasks on time and regular status reporting to the lead

Requirements:

Use an issue-based approach to deliver growth, market, and portfolio strategy engagements for corporates
Strong communication, presentation, and team-building skills and experience in producing high-quality reports, papers, and presentations
Building a quality culture
Foster teamwork

Click here to apply

EY – Data and Analytics – Data Science – Senior – 42-2

EY Kolkata

Requirements:

Desirable candidate should have 4-8 years of experience in the field of analytics with 3+ years in insurance analytics
Should have experience in handling end-to-end modeling life cycle (development, validation, deployment, and monitoring)
A strong quantitative background, excellent communication skills (written and verbal) and excellent presentation skills are necessary for the role
Should have hands-on experience in developing claims models (severity, subrogation, litigation, CAT event), reserving models, and pricing models
Should have experience in cloud and big data platforms to get the models created and operationalize them in real-time

Click here to apply

Data Modelling

Mississippi Consultants LLP Pune

Requirements:

5 to 7+ years of data engineering, and data modeling experience
Experience should be with RDBMS and Big Data implementations
Capable to build a data model using both methodologies Bottom-up and Top-down approaches
Build conceptual, logical, and physical models
Use of various design patterns in data modeling

Click here to apply

MYSQL Lead Database

Mindtree Bengaluru

Responsibilities:

Monitor the event alerts and notify the concerned team and process the requests from the end users to level 2 and level 3 support engineers
Monitor the availability of the Database events like DB availability, Instance availability, and space availability
Monitor the event alerts and notify the concerned team and process the requests from the end users to level 2 and level 3 support engineers
Monitor the availability of the Database events like DB availability, Instance availability, and space availability
Monitor the event alerts and notify the concerned team and process the requests from the end users to level 2 and level 3 support engineers

Click here to apply

Data Modeler

Spruce InfoTech Inc Pune

Responsibilities:

Should be proficient in data modeling
Should have an understanding of data and patterns and should be capable of translating this into models, data lineage, data quality
Should be able to create and take designs through design authority approvals
Should have a good understanding of data architecture
Should be able to perform risk analysis and lead data governance initiatives
Should be able to monitor implementation, performance management, and develop key metrics & standards for data integrity

Click here to apply

Backend Engineer – Sustainability Data Warehousing

McKinsey & Company Gurgaon

Requirements:

Bachelor’s or master’s degree in computer science, engineering, applied math, quantitative methods, or related field
3+ years of professional work experience with proven engineering skills
Experience in AWS services S3, Lambda, Glue, AppSync, Neptune, Snowflake
Experience building data products (data warehouses, data lakes, data hubs, etc.) including data modeling
Proficiency in Python and SQL
AWS experience or other public cloud technology
Graph development experience is a plus

Click here to apply

Data Engineer – SQL & Data Warehousing

TNQ Technologies Chennai

Requirements:

Expert-level knowledge in SQL databases
Must have working experience in one of the leading ETL tools – Informatica / Talend / Alteryx / Datastage
A solid understanding of SQL, rational databases, and normalization
Must have worked in data warehousing project implementation
Proficiency in the use of query and reporting analysis tools
Experience with at least one programming language – Python/Java

Click here to apply

Top 10 Data Warehousing Jobs Pros Should Apply for in August