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data management -senior data engineer Jobs in Mangaluru

data management -senior data engineer

data management senior data engineer

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 Data Management (Senior Data Engineer)
 
 
 
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization. Fuelled by a US$1.5+B investment in technology and innovation, EY is primed to guide clients in their efforts to drive sustainable growth, create new value, and build new and better ways of working. As part of Enterprise Technology, you&rsquo;ll be at the forefront of integrating technology into what we do at EY. That means more growth for you, exciting learning opportunities, career choices and the chance to make a real impact.
 
 
 
 The opportunity
 
 
 
 EY&rsquo;s global enterprise technology group provides various enabling services (ERP, infrastructure, platforms, service desk) to assist over 300K employees in creating and delivering solutions and services to Fortune 500, privately held and government-like entities.
 
 
 The Data Scientist will be responsible for leveraging the data lake to drive advanced analytics and predictive modelling initiatives. This role requires a combination of statistical expertise, machine learning knowledge, and the ability to derive insights from large volumes of complex data. The Data Scientist will work closely with business stakeholders to understand their challenges and develop data-driven solutions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement modern data architectures using Azure Data Lake, Azure Synapse, Databricks, and Azure Data Factory.
 </li>
 <li>
 Build scalable and efficient ETL/ELT pipelines for structured and unstructured data.
 </li>
 <li>
 Lead the development of enterprise data models, data catalogs, and governance frameworks.
 </li>
 <li>
 Collaborate with data scientists, analysts, and business stakeholders to ensure data availability and quality.
 </li>
 <li>
 Implement CI/CD for data pipelines using Azure DevOps, GitHub Actions, or similar tools.
 </li>
 <li>
 Drive best practices in data engineering, data security, and cloud cost optimization.
 </li>
 <li>
 Lead and mentor a team of data engineers, providing technical direction and code reviews.
 </li>
 <li>
 Monitor, troubleshoot, and optimize data pipelines and jobs in production environments.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications:
 
 
 
 <ul>
 <li>
 7+ years of experience in data engineering with at least 1+ years in a leadership role.
 </li>
 <li>
 Strong expertise in Azure Data Platform: Data Factory, Data Lake Gen2, Synapse, Databricks, and Azure SQL/SQL MI.
 </li>
 <li>
 Proficiency in PySpark, SQL, and scripting languages (Python, Scala).
 </li>
 <li>
 Experience with Delta Lake, Unity Catalog, and medallion architecture (bronze/silver/gold layers).
 </li>
 <li>
 Solid understanding of data warehousing, data modeling, and data quality frameworks.
 </li>
 <li>
 Strong DevOps mindset with experience in CI/CD, Terraform, and Git-based development.
 </li>
 <li>
 Excellent problem-solving, communication, and team leadership skills.
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Technology , Data Engineering, or a related field.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Azure certifications (e.g., DP-203, AZ-305).
 </li>
 <li>
 Experience with real-time streaming using Azure Event Hubs, Kafka, or Databricks Structured Streaming.
 </li>
 <li>
 Exposure to data governance tools (e.g., Purview, Unity Catalog).
 </li>
 <li>
 Master&rsquo;s degree in computer science, Information Technology
 </li>
 <li>
 Familiarity with machine learning pipelines and integration with Azure ML or Databricks ML
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 As part of this role, you'll work in a highly integrated, global team with the opportunity and tools to grow, develop and drive your career forward. Here, you can combine global opportunity with flexible working. The EY benefits package goes above and beyond too, focusing on your physical, emotional, financial and social well-being. Your recruiter can talk to you about the benefits available in your country. Here&rsquo;s a snapshot of what we offer:
 
 
 <ul>
 <li>
 Continuous learning: You&rsquo;ll develop the mindset and skills to navigate whatever comes next.
 </li>
 <li>
 Success as defined by you: We&rsquo;ll provide the tools and flexibility, so you can make a meaningful impact, your way.
 </li>
 <li>
 Transformative leadership: We&rsquo;ll give you the insights, coaching and confidence to be the leader the world needs.
 </li>
 <li>
 Diverse and inclusive culture: You&rsquo;ll be embraced for who you are and empowered to use your voice to help others find theirs.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

Data Management -Senior Data Engineer

Amazon

<div>
 
 Description
 
 
 
 We are seeking an experienced Business Analyst to own strong and complex analytics and to bring in comprehensive deep dives to help drive the growth of the business.
 
 
 The candidate should have experience working with large scale data, building deep dive reports, dynamic visualizations and dashboards for end-user consumption. Moreover, the candidate should have the ability in using advance excel, knowledge about some scripting language and statistics, to drive complex insights and analyses. Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business scenarios and is passionate about data and analytics. To be successful in this role you will need to have excellent analytical, data warehousing and communication skills.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Interfacing with business customers, gathering requirements and developing complex analytics model and data-sets for deep dive
 </li>
 <li>
 Identifying the data quality issues across the various platforms at Amazon
 </li>
 <li>
 Extracting and combining data from various heterogeneous data sources
 </li>
 <li>
 Design and build data visualization tools to provide scalable solution for self-service metrics reporting
 </li>
 <li>
 Partnering with other analysts and engineers to build analytical solutions to deliver on business goals
 </li>
 <li>
 Propose and implement new business metrics for senior management reviews and work with the business intelligence engineer to design and develop data infrastructure to support these metrics for business growth
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of tax, finance or a related analytical field experience
 </li>
 <li>
 Bachelor's degree or equivalent
 </li>
 <li>
 Experience with SQL
 </li>
 <li>
 Experience defining requirements and using data and metrics to draw business insights
 </li>
 <li>
 Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AWS services including S3, Redshift, EMR and RDS
 </li>
 <li>
 Knowledge of a scripting language (Python, R, etc.)
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Karnataka
 
 
 Job ID: A3131324
</div>

Business Analyst I

Bosch Global Software Technologies

<div>
 
 
 Senior SAP Logistics Consultant
 
 
 
 We are seeking a highly experienced Senior SAP Logistics Consultant with 18+ years of comprehensive experience in SAP logistics modules including Sales &amp; Distribution (SD), Extended Warehouse Management (EWM), and Materials Management (MM). The ideal candidate will lead complex SAP implementations, optimizations, and support activities while providing strategic guidance on logistics processes and system architecture.
 
 
 
 Key Responsibilities
 
 
 
 
 Strategic Leadership &amp; Consultation
 
 
 <ul>
 <li>
 Lead end-to-end SAP logistics implementations across SD, EWM, and MM modules for complex enterprise environments
 </li>
 <li>
 Provide strategic guidance on logistics process optimization and digital transformation initiatives
 </li>
 <li>
 Serve as subject matter expert for logistics business processes and SAP best practices
 </li>
 <li>
 Conduct business process workshops and requirements gathering sessions with C-level executives and department heads
 </li>
 <li>
 Develop comprehensive solution architecture documents and technical specifications
 </li>
 </ul>
 
 
 Technical Expertise &amp; Implementation
 
 
 <ul>
 <li>
 Design and configure complex SAP logistics scenarios including procurement, inventory management, warehouse operations, and sales processes
 </li>
 <li>
 Lead integration activities between SD, EWM, MM modules and other SAP modules (FI/CO, PP, QM, PM)
 </li>
 <li>
 Architect and implement advanced warehouse management solutions using SAP EWM
 </li>
 <li>
 Configure complex pricing procedures, output management, and billing processes in SD
 </li>
 <li>
 Design and optimize procurement processes including vendor management, purchase requisitions, and goods receipt workflows
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 
 18+ years of hands-on SAP experience
 
 with deep expertise in SD, EWM, and MM modules
 </li>
 <li>
 
 SAP S/4HANA experience
 
 with migration and implementation projects
 </li>
 <li>
 
 Extensive SD proficiency
 
 : Sales order processing, pricing, shipping, billing, credit management, rebate processing, and customer master management
 </li>
 <li>
 
 Comprehensive EWM expertise
 
 : Warehouse structure, storage types, storage bins, warehouse tasks, resource management, and wave management
 </li>
 <li>
 
 Advanced MM knowledge
 
 : Procurement processes, inventory management, material master, vendor master, purchase orders, goods receipt, invoice verification, and material requirements planning
 </li>
 <li>
 
 Integration experience
 
 with other SAP modules (FI/CO, PP, QM, PM) and third-party systems
 </li>
 <li>
 
 Configuration and customization
 
 experience including user exits, BADIs, and enhancement frameworks
 </li>
 <li>
 
 Data migration
 
 experience using S/4 Migration Cockpit, CVI, LSMW, Data Services, or other ETL tools
 </li>
 </ul>
 
 
 Leadership &amp; Communication
 
 
 <ul>
 <li>
 Proven track record of leading large-scale SAP implementations with teams of 15+ members
 </li>
 <li>
 Strong stakeholder management skills with ability to influence senior executives
 </li>
 <li>
 Excellent communication and presentation skills with both technical and business audiences
 </li>
 <li>
 Experience managing client relationships and conducting executive-level presentations
 </li>
 <li>
 Ability to work effectively in matrix organizations and global teams
 </li>
 </ul>
 
 
 Education &amp; Certifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information systems, Supply Chain Management, Engineering, or related field
 </li>
 <li>
 
 Required SAP Certifications
 
 : SAP Certified Application Associate in SD/EWM/MM modules
 </li>
 </ul>
 
 
 Experience Requirements
 
 
 
 
 Project Experience
 
 
 <ul>
 <li>
 Minimum 6 full-cycle SAP implementations with at least 3 as lead consultant
 </li>
 <li>
 Experience with SAP S/4HANA migration projects (minimum 2 projects)
 </li>
 <li>
 Multi-site, multi-country implementations with complex organizational structures
 </li>
 <li>
 Experience with rollout methodologies and template-based implementations
 </li>
 <li>
 Post-implementation optimization and continuous improvement projects
 </li>
 </ul>
 
 
 Industry Experience
 
 
 <ul>
 <li>
 Manufacturing, distribution, healthcare, utilities and retail industry background preferred
 </li>
 <li>
 Experience with complex supply chain scenarios including drop-shipping, third-party logistics, and cross-docking
 </li>
 <li>
 Knowledge of various procurement models (make-to-stock, make-to-order, engineer-to-order)
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with SAP Cloud solutions
 </li>
 <li>
 Experience with Agile/Scrum methodologies
 </li>
 <li>
 Experience with SAP Activate methodology
 </li>
 <li>
 Consulting or systems integration firm experience
 </li>
 </ul>
 
 
 
 
 
 Travel Requirements
 
 
 <ul>
 <li>
 Willingness to travel based on project needs
 </li>
 <li>
 Flexibility for international assignments and extended client engagements
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 Educational qualification:
 
 
 
 
 B.E , MBA
 
 
 
 Additional Information
 
 
 
 
 
 Experience : 15+ yrs
 
 
 
 
 
</div>

Senior SAP Logistics Consultant

Curefit

<div>
 
 
 About Curefit
 
 
 
 Curefit Healthcare Pvt Ltd, founded in 2016, is India&rsquo;s largest fitness company and wellness platform. Cult, from the house of Curefit, was established with a mission to make fitness easy, fun and accessible to everyone, and has emerged as a community celebrating the joy of fitness. The brand today offers a range of fitness services ranging from group workouts, gyms and personalized fitness solutions, as well as an expansive selection of quality fitness products for the everyday athlete. The company&rsquo;s vision is to empower everyone towards an active and healthier lifestyle through innovative fitness solutions, enabled by technology.
 
 
 
 
 
 
 Role : Strategy &amp; Planning Senior Analyst
 
 
 
 
 YOE : 3-5 years
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a highly analytical and strategic individual to join the growth team in the Strategy &amp; Planning role. This role is critical in driving revenue growth by setting sales targets, lead generation efforts, and incorporating data-driven insights into the planning process. You will collaborate closely with various stakeholders, including business owners, SKU owners, and the data engineering team, to help set the foundation for our monthly and daily revenue goals.
 
 
 You will also be responsible for identifying key trends and patterns from historical sales data, macroeconomic factors, and other variables to build an adaptive, templated planning process. The role requires strong skills in data analytics, stakeholder management, and the ability to communicate complex insights clearly to both senior leadership and ground-level teams.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Spearhead monthly and daily sales target setting for complete portfolio
 </li>
 <li>
 Identify patterns from past performance &amp; integrate findings into revenue forecasts
 </li>
 <li>
 Assist in driving revenue and conducting root cause analysis (RCA)
 </li>
 <li>
 Collaborate with business owners, SKU owners &amp; data engineering team to align on metrics
 </li>
 <li>
 Present data-driven recommendations to senior leadership
 </li>
 <li>
 Standardize and templatize the planning process, ensuring efficiency and scalability
 </li>
 <li>
 Continuously refine the sales planning process and ensure alignment with company goals
 </li>
 </ul>
 
 
 Skills:
 
 
 <ul>
 <li>
 Excel &amp; Data Analytics
 </li>
 <li>
 Stakeholder management
 </li>
 <li>
 Communication &amp; presentation skills
 </li>
 <li>
 SQL
 </li>
 <li>
 Data Science background (Good to have but not necessary)
 </li>
 </ul>
 
 
 Experience:
 
 
 <ul>
 <li>
 3-5 years of experience in business analysis, business planning, product analytics, or a similar role
 </li>
 <li>
 Experience in sales-driven, fast-paced organizations or consulting firms
 </li>
 <li>
 Bachelor's degree in Business, Economics, Data Science, Statistics, or a related field.
 </li>
 </ul>
 
 
</div>

Senior Analyst

More Retail Private Limited

<div>
 
 
 About More Retail Private Ltd (MRPL)
 
 
 
 MRPL is one of India's largest and fastest-growing Omni Channel Food &amp; Grocery retailers. MRPL is committed to building India's most customer-obsessed business with the world's best omnichannel food and grocery experience and all of this on a massive scale.
 
 
 
 
 
 
 Purpose of the Role
 
 
 
 The role is the data wing of the function. It will support and aid in making decisions and tracking critical business metrics by presenting the data, patterns, insights, and outliers in an understandable format.
 
 
 
 
 
 
 Principal Responsibilities
 
 
 <ol>
 <li>
 To create a detailed analysis outlining problems, opportunities, and solutions for a priority area the team has identified.
 </li>
 <li>
 Help create relevant data dashboards and provide inputs for appropriate actions and business decisions. Identify variance and outliers against the agreed metrics.
 </li>
 <li>
 Suggest ways to handle the data outliers and tracking with larger teams to drive process improvements.
 </li>
 <li>
 Work towards cleaning data and automating tasks for better data transparency and driving results as required.
 </li>
 <li>
 Progressively also study the raw data and devise modeling techniques to analyze this information and investigate the impact of different solutions.
 </li>
 </ol>
 
 
 
 
 
 Education and Knowledge
 
 
 <ul>
 <li>
 Engineer / MBA preferred with 2-3 years of experience
 </li>
 <li>
 Working knowledge of financial analysis, P&amp;L management
 </li>
 <li>
 
 Expertise in SQL, python, and data analysis techniques would be preferred
 
 </li>
 </ul>
 
 
 
 
 
 Values
 
 
 <ul>
 <li>
 Collaboration
 </li>
 <li>
 Customer Obsession
 </li>
 <li>
 Frugality
 </li>
 <li>
 Innovation
 </li>
 <li>
 Grit
 </li>
 <li>
 Integrity
 </li>
 <li>
 Growing Talent
 </li>
 </ul>
 
 
</div>

Business Analyst

NTT DATA, Inc.

<div>
 
 Make an impact with NTT DATA
 
 
 
 Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion &ndash; it&rsquo;s a place where you can grow, belong and thrive.
 
 
 
 Your day at NTT DATA
 
 
 
 The Data Engineer is a seasoned subject matter expert, responsible for the transformation of data into a structured format that can be easily analyzed in a query or report.
 
 
 This role is responsible for developing structured data sets that can be reused or complimented by other data sets and reports.
 
 
 This role analyzes the data sources and data structure and designs and develops data models to support the analytics requirements of the business which includes management / operational / predictive / data science capabilities.
 
 
 
 Key responsibilities:
 
 
 
 <ul>
 <li>
 Creates data models in a structured data format to enable analysis thereof.
 </li>
 <li>
 Designs and develops scalable extract, transformation and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources,
 </li>
 <li>
 Participates in the transformation of object and data models into appropriate database schemas within design constraints.
 </li>
 <li>
 Interprets installation standards to meet project needs and produce database components as required.
 </li>
 <li>
 Creates test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations.
 </li>
 <li>
 Accountable for running data migrations across different databases and applications, for example MS Dynamics, Oracle, SAP and other ERP systems.
 </li>
 <li>
 Works across multiple IT and business teams to define and implement data table structures and data models based on requirements.
 </li>
 <li>
 Accountable for analysis, and development of ETL and migration documentation.
 </li>
 <li>
 Collaborates with various stakeholders to evaluate potential data requirements.
 </li>
 <li>
 Accountable for the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives.
 </li>
 <li>
 Collaborates with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models.
 
 
 </li>
 </ul>
 
 To thrive in this role, you need to have:
 
 
 
 <ul>
 <li>
 Seasoned knowledge of the definition and management of scoping requirements, definition and prioritization activities.
 </li>
 <li>
 Seasoned understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models.
 </li>
 <li>
 Seasoned expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP.
 </li>
 <li>
 Seasoned understanding of data architecture landscape between physical and logical data models
 </li>
 <li>
 Analytical mindset with excellent business acumen skills.
 </li>
 <li>
 Problem-solving aptitude with the ability to communicate effectively, both written and verbal.
 </li>
 <li>
 Ability to build effective relationships at all levels within the organization.
 </li>
 <li>
 Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.).
 
 
 </li>
 </ul>
 
 Academic qualifications and certifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field.
 </li>
 <li>
 Relevant certifications preferred such as SAP, Microsoft Azure etc.
 </li>
 <li>
 Certified Data Engineer, Certified Professional certification preferred.
 
 
 </li>
 </ul>
 
 Required experience:
 
 
 
 <ul>
 <li>
 Seasoned experience as a data engineering, data mining within a fast-paced environment.
 </li>
 <li>
 Proficient in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale.
 </li>
 <li>
 Seasoned experience with architecture and design of secure, highly available and scalable systems.
 </li>
 <li>
 Seasoned proficiency in automation, scripting and proven examples of successful implementation.
 </li>
 <li>
 Seasoned proficiency using scripting language (Perl, bash, Shell Scripting, Python, etc.).
 </li>
 <li>
 Seasoned experience with big data tools like Hadoop, Cassandra, Storm etc.
 </li>
 <li>
 Seasoned experience in any applicable language, preferably .NET.
 </li>
 <li>
 Seasoned proficiency in working with SAP, SQL, MySQL databases and Microsoft SQL.
 </li>
 <li>
 Seasoned experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots.
 
 
 </li>
 </ul>
 
 Workplace type:
 
 
 
 Hybrid Working
 
 
 
 About NTT DATA
 
 
 
 NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
 
 
 
 Equal Opportunity Employer
 
 
 
 NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
 
 
 
 Third parties fraudulently posing as NTT DATA recruiters
 
 
 
 NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters&mdash;whether in writing or by phone&mdash;in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an
 
 @nttdata.com
 
 email address. If you suspect any fraudulent activity, please
 
 contact us
 
 .
</div>

Data Engineer

<div>
 
 Description
 
 
 
 We're seeking an experienced Business Intelligence Engineer to design, develop, and maintain scalable data solutions that drive business decisions. You'll work closely with business stakeholders, data engineers, and analysts to transform complex data into actionable insights.
 
 
 Data Architecture &amp; Development
 
 
 <ul>
 <li>
 Design and implement data models, ETL processes, and reporting solutions
 </li>
 <li>
 Create and maintain scalable data pipelines
 </li>
 <li>
 Develop automated reporting systems and dashboards
 
 
 </li>
 </ul>
 Business Partnership
 
 
 <ul>
 <li>
 Partner with business teams to understand reporting requirements
 </li>
 <li>
 Translate business needs into technical specifications
 </li>
 <li>
 Provide technical guidance to junior team members
 </li>
 <li>
 Lead technical discussions with stakeholders
 
 
 </li>
 </ul>
 Analytics &amp; Reporting
 
 
 <ul>
 <li>
 Build complex SQL queries and stored procedures
 </li>
 <li>
 Develop interactive dashboards using visualization tools (Tableau/PowerBI)
 </li>
 <li>
 Create automated alert systems for business metrics
 </li>
 <li>
 Design and implement A/B testing frameworks
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree or above in computer science, computer engineering, or related field, or Associate's degree or above
 </li>
 <li>
 2+ years of business intelligence and analytics experience
 </li>
 <li>
 Knowledge of SQL and VBA at an advanced level
 </li>
 <li>
 Experience with business intelligence (BI) tools such as Tableau, Quicksight, Power BI and CRM Salesforce
 </li>
 <li>
 Experience with AWS, Azure, or Google Cloud technology
 </li>
 <li>
 Knowledge of data warehousing and data modeling
 </li>
 <li>
 Experience that includes strong analytical skills, attention to detail, and effective communication abilities
 </li>
 <li>
 Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
 </li>
 <li>
 Experience in project management disciplines including scope, schedule, budget, quality, along with risk and critical path management
 </li>
 <li>
 Can work proactively and independently, meet deadlines, and deliver on projects and tasks
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with agile or other program management methodologies
 </li>
 <li>
 Knowledge of machine learning approaches and algorithms
 </li>
 <li>
 Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
 </li>
 <li>
 Knowledge of quantitative data analysis and statistics
 </li>
 <li>
 5. Industry-specific knowledge (e.g., retail, finance)
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Karnataka
 
 
 Job ID: A3129228
</div>

Business Intelligence Analyst, FinOps IN BP

Explore 604+ Data management senior data engineer in Mangaluru this December. Find roles across top companies and apply now to boost your career.