Array ( [0] => data-warehousing [1] => gurgaon ) data warehouse Jobs in Gurgaon,Data Warehousing Job Vacancies in Gurgaon Haryana
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Data Warehousing Job Vacancies in Gurgaon

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E-commerce Manager - Gurgaon

SKB FOOD PRODUCTS (P)LTD

  • 5 - 11 yrs
  • 7.0 Lac/Yr
  • Gurgaon
Ecommerce Operations Marketplace Management Growth Optimization Product Cataloging B2B & B2C Sales Marketing Safe T Claims & A to Z Claims Return Management Inventory & Warehouse Management Ecommerce Promotional Compaigns & Sales Forecasting Data Analysis & Performance Tracking
Job Title: eCommerce Executive (Sales & Operations) Experience in FMCG will be preferred, with At least 3 years in Foods / Breakfast Category.Job description1 Key Account Management :Planning and finalizing business strategy for the assigned Key E-commerce accounts for business growth and increased category share TOT negotiation, discussion and closure with the specific E-Com Accounts on yearly basis in coordination with the E-Commerce Head.Facilitating commercial reconciliation of all assigned E-Com accounts Accounts along with commercial manager/executive.2 Key Account Relationship and Target Review :Prepare Joint Business Plan with Key E-Com Accounts to set the Account wise objective for the current financial year and develop the tools to achieve the same.Review of performance with assigned chains on Quarterly basis to analyses current performance basis plan and incorporate changes if required in yearly plans3 Sales Promotion Planning :Planning internal marketing calendars of Promotions, Activation and New Product introduction and aligning the same with internal Trade marketing team and ensuring implementation with the chains.Internal Alignment with the Trade marketing team to ensure our brand objective always gets achieved in E-Com accounts.4 Sales & Distribution Planning and Review :Sales planning to ensure optimum stocks are available at all depots basis client requirement of promotions and visibility planned with the clients, to fulfill optimum fill rates with the accounts.The position is accountable for:Managing national, regional E-commerce and other alternate channels.Planning and delivering sales numbers for the above set of stakeholders through a dedicated set of team members at pan-India level.Visibility & Investment PlanningPlanning and evaluating the visibility & investment assets required on the assigned E-com accounts platforms. Driving alignment with Trade marketing & execution with the accounts.Actively partner with trade marketing to drive the revenue loop through add-to-cart on digital marketing campaigns.
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Picker & Packer Fresher

Vlead Staffing Pvt Ltd

Packing Packaging Data Entry Operator Warehouse Assistant
Picker packer job
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Hiring For Data Architect

Auxo AI

MDM Azure Server Data Warehousing
Job DescriptionAs a Data & Analytics Architect, you will lead key data initiatives, including cloud transformation, data governance, and AI projects. You'll define cloud architectures, guide data science teams in model development, and ensure alignment with data architecture principles across complex solutions. Additionally, you will create and govern architectural blueprints, ensuring standards are met and promoting best practices for data integration and consumption.Strong cloud data architecture knowledge (preference for Microsoft Azure)8-10+ years of experience in data architecture, with proven experience in cloud data transformation, MDM, data governance, and data science capabilities.Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, real-time, and near real-time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses.Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final recommendation.Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB).Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc.Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka.
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Data Engineer

Sanyukt Services

  • 3 - 5 yrs
  • 10.0 Lac/Yr
  • Gurgaon
Data Warehousing SAS Statistical Analysis System Informatica Computer Science Finite Element Analysis ETL Data Engineer
Position Overview:We are currently seeking a seasoned Data Engineer to join our dynamic team. The ideal candidate will have a minimum of 4 years of experience in data engineering roles, with a proven track record of delivering high-quality solutions in a fast-paced environment.Responsibilities:Design, build, and maintain scalable data pipelines and infrastructure.Collaborate with cross-functional teams to gather and analyze requirements.Implement best practices for data warehousing, ETL processes, and data integration.Optimize data workflows for performance, reliability, and efficiency.Stay current with emerging technologies and industry trends in data engineering.Qualifications:Bachelor's degree in Computer Science, Engineering, or related field.Minimum of 4 years of professional experience in data engineering.Proficiency in programming languages such as Python, Java, or Scala.Experience with cloud platforms (e.g., AWS, Azure, GCP) and related services.Strong understanding of data modeling, database systems, and SQL.Excellent problem-solving skills and attention to detail.Effective communication and collaboration abilities.
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Jobs by Related Category

SR,Software Engineer (Analyst) - Power BI

A Square Technologies Pvt. Ltd.

  • 3 - 5 yrs
  • Gurgaon
POWER BI SQL SSIS DASHBOARD DEVELOPER Data Warehousing Walk in
SSE-Power BIExperience:- 3-5 yrs exp Skills:- Power-BI tool. Exposure on the implementation and Dashboarding using DAX SQL- good experience on writing the SQL query Datawarehouse- Experience in designing of data models Good Comm skills
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Power BI Developer

AP Job Consultants

  • 2 - 5 yrs
  • 9.0 Lac/Yr
  • Gurgaon
Power BI Power BI Integration SQL Server VBA Advance Excel MS-Suite Design Development Big Data Data Warehousing CRM Walk in
3+ experience in Power BI, Power BI Integration, SQL Server, VBA, Advance Excel, MS-Suite. Developing visual reports, dashboards and KPI scorecards using Power BI desktop. Have handled large scale data driven projects. Good knowledge of Management reports, finance & CRM and building Analysis Services reporting models. Connecting to data sources, importing data and transforming data for Business Intelligence. Excellent in analytical thinking for translating data into informative visuals and reports. Able to implement RLS (Row Level Security) on data and have an understanding of application security layer models in Power BI. Proficient in making DAX queries in Power BI desktop. Expertise in using advance level calculations on the data set. Responsible for design methodology and project documentation. Able to develop tabular and multidimensional models that are compatible with warehouse standards. Adept in developing, publishing and scheduling Power BI reports as per the business requirements. Able to properly understand the business requirements and develop data models accordingly by taking care of the resources. Should have knowledge and experience in prototyping, designing, and requirement analysis. Should have knowledge and skills for secondary tools such as Microsoft Azure, SQL data warehouse, PolyBase, Visual Studio, etc.
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Data Engineer

Acunor Infotech

  • 3 - 5 yrs
  • Gurgaon
Data Warehousing Oracle Computer Science ETL Data Engineer SQL Server RDBMS Work From Home
Job Responsibilities Use different data warehousing concepts to build a data warehouse for reporting purpose. Design, develop, and launch efficient and reliable data pipelines to move data across application systems and to provide intuitive analytics to business teams Actively develop and test ETL components to high standards of data quality. Assist in the creation of design best practices as well as coding and architectural guidelines, standards, and frameworks. Provide analytical support like Visualization, Business Insights, Reporting, as needed.Must have: 2+ years of experience in ETL (or) data engineering role in an analytics environment. Bachelors degree in a technical field (Comp. Sci degree preferred not mandatory) Working knowledge of Relational Database Management Systems (RDBMS) like Oracle, SQL server etc. Expertise in building data pipelines & data warehousing concepts Good understanding of Big data platforms Knowledge of SQL, Python & some of the standard data science packages (Pandas, NumPy, etc.). Exposure to Visualization tools like Tableau & Power BI is a plus; Not Mandatory. Strong verbal and business communication skills.
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Manager (Data Engineer)

Acunor Infotech

  • 6 - 10 yrs
  • Gurgaon
Data Engineer Warehouse Management SQL Oracle Python Work From Home
Job Responsibilities Use different data warehousing concepts to build a data warehouse for reporting purposes. Design, develop and launch efficient and reliable data pipelines to move data across application systems and to provide intuitive analytics to business teams Actively develop and test ETL components to high standards of data quality. Assist in the creation of design best practices as well as coding and architectural guidelines, standards, and frameworks. Provide analytical support like Visualization, Business Insights, Reporting, as needed. Can guide a team of Data Engineers for a whole projectMust have: 4+ years of experience in ETL (or) data engineering role in an analytics environment. Bachelors degree in a technical field (Comp. Sci degree preferred not mandatory) Working knowledge of Relational Database Management Systems (RDBMS) like Oracle, SQL server etc. Expertise in building data pipelines & data warehousing concepts Good understanding of Big data platforms Knowledge of SQL, Python & some of the standard data science packages (Pandas, Numpy, etc.). Exposure to Visualization tools like Tableau & Power BI is a plus; Not Mandatory. Strong verbal and business communication skills.
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