Create SEO-optimized content Develop and deliver high-quality content for blogs, articles, landing pages, and social media. Ensure content is optimized for search engines and user engagement. Conduct keyword research Identify relevant keywords and search trends to guide content creation. Leverage SEO tools to enhance on-page optimization. Collaborate with cross-functional teams Work closely with marketing, design, and product teams to align content with overall branding and marketing objectives. Monitor and analyze content performance Use analytics tools to track key performance metrics. Recommend improvements to content strategy based on data-driven insights. Qualifications Bachelors degree in Marketing, Communications, or a related field A strong educational background in marketing, communications, journalism, or a related field is preferred. Proven experience in SEO or content writing At least 1 years of experience in content writing with a focus on SEO best practices and on-page optimization. Strong understanding of SEO principles In-depth knowledge of keyword research, on-page SEO, and search engine algorithms. Familiarity with analytics tools Hands-on experience with Google Analytics, Google Search Console, or similar platforms to measure content performance. Technical Skills SEO optimization Expertise in on-page SEO techniques, metadata, and site architecture best practices. Keyword research tools Proficiency in using tools such as SEMrush, Ahrefs, or Google Keyword Planner. Basic HTML and CSS Familiarity with basic HTML tags and CSS for formatting and on-page optimization. Analytics and reporting Ability to interpret analytics data to refine content strategies and measure

Job Description Job Title Data Governance Management, AVP Location Bangalore, India Role Description Compliance and Anti-Financial Crime Data Office is responsible for Data Governance and Management covering key functions of AFC, Compliance and Legal. The team support these functions in establishing improving Data Governance and Management to achieve key business outcomes including effective operation of key controls. The CAFC Data Governance and Management team is responsible for implementation of and adherence to DB s Enterprise Data Management Framework controls, culture and capabilities which in turn drive target outcomes of improved Data Quality, reduction in audit and regulatory findings, stronger more effective controls and improved operational efficiency. As a member of the Divisional Data Office team the role holder will support both Tun the Bank activities at the Bank and all ongoing change the Bank initiatives. In particular, this roll will support establishing procedures based on Chief Data Office standards to execute Core Data Management Standard principles around data requirements, lineage and authoritative sources. What we ll offer you As part of our flexible scheme, here are just some of the benefits that you ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Perform the current state documentation gap assessment including Analysis and documentation of data scope and requirements via asset catalogue in Collibra and obtain relevant certifications Capture and visualization in Solidatus of data lineage, ensuring alignment to metadata sources, and obtain relevant certifications Analysis and cataloguing of data controls, and assessing coverage against standards and requirements Assessment of control monitoring, exception and DQ issue management Document gaps identified, analyze and support defining rem plans Your skills and experience Extensive experience in all aspects of Data Management best practice with in-depth understanding of data risks and controls and how they manifest in a large Financial Services organisation Knowledge of industry standard Data Management Frameworks such as DCAM or DAMA, preferably with qualification. Experience executing data management including Cataloguing data assets for business, technology, and governance, ideally using Collibra. Documenting and maintaining Data Lineage, ideally using Solidatus, with the ability to understand lineage, data risks and controls to present to business colleagues. Documenting and assessing data controls including design and operating effectiveness monitoring Excellent written and verbal communication skills (including PowerPoint) with the ability to explain complex concepts to non-technical colleagues Ability to appropriately partner with colleagues across different functions, locations levels. Must be able to work independently as well as part of a team and virtual working groups How we ll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

Job Description Role: Data Engineer Experience: 7-10years Location: Mumbai Preferred, Open to PAN India Job Summary: Skills: Experience with programing in Python, Spark and SQL Prior experience in AWS services (Such as AWS Lambda, Glue, Step function, Cloud Formation, CDK) Knowledge of building bespoke ETL solutions Data modelling, and T-SQL for managing business data and reporting Capable of technical deep-dives into code and architecture Ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management Experience in working with data science teams in refining and optimizing data science and machine learning models and algorithms. Effective communication skills Responsibilities: Build data pipelines: Architecting, creating and maintaining data pipelines and ETL processes in AWS Support and Transition: Support and optimize our current desktop data tool set and Excel analysis pipeline to a transformative Cloud based highly scalable architecture. Work in an agile environment: within a collaborative agile cross-functional product team using Scrum and Kanban Collaborate across departments: Work in close relationship with data science teams and with business (economists/data) analysts in refining their data requirements for various initiatives and data consumption requirements Educate and train: Required to train colleagues such as data scientists, analysts, and stakeholders in data pipelining and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases Participate in ensuring compliance and governance during data use: To ensure that the data users and consumers use the data provisioned to them responsibly through data governance and compliance initiatives. Work within, and encourages a Devops culture and Continuous Delivery process

Chennai or Pune(2 days work from office) Experience: 4+ years Key Skills: HFM, Consolidation, CTA, Journals, Metadata, FDMEE, ERP Integration Responsibilities: Maintain & optimize HFM, develop rules, troubleshoot issues, support financial

The Senior Data Engineer will play a pivotal role in building, optimizing, and maintaining data pipelines for LakeFusion.AIs platform. This role emphasizes advanced expertise in Databricks and its ecosystem, requiring a proven ability to design scalable, high-performance data solutions aligned with best practices for data quality, governance, and compliance. Ideal candidates will have a Databricks MVP-type skillset, showcasing deep technical knowledge and leadership in Databricks workflows and features. Requirements Key Responsibilities: Design, build, and maintain scalable and high-performance data pipelines using Databricks and Delta Lake . Implement robust data ingestion processes, including real-time ingestion using tools like Databricks Auto Loader and structured streaming. Work extensively with Unity Catalog to manage metadata, enforce governance, and ensure data quality across the platform. Optimize data storage and transformations for structured and unstructured data from multiple sources (e.g., Salesforce, Workday, ADLS). Collaborate with data scientists and engineers to integrate data pipelines with LLMs and vector database workflows. Define and implement advanced ETL/ELT processes, focusing on performance tuning and cost optimization in a cloud-native environment. Ensure compliance with HIPAA and other relevant data privacy and security standards. Provide guidance on best practices for Databricks usage, staying up-to-date with the latest Databricks features and enhancements. Qualifications: Educational Background : Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field. Experience : 7+ years of experience in data engineering roles, with at least 3 years of hands-on experience with Databricks . Proven expertise in designing and optimizing data pipelines using Spark on Databricks. Experience with Delta Lake for data storage and processing. Strong understanding of data governance and metadata management using Unity Catalog . Experience integrating data workflows with advanced AI/ML models, including LLMs and graph-based solutions. Technical Skills : Proficiency in Databricks SQL , Python, and Scala for data engineering tasks. Expertise in Databricks Auto Loader and real-time streaming pipelines. Familiarity with vector databases (e.g., Pinecone, Milvus) and their integration with Databricks workflows. Knowledge of cloud platforms such as AWS or Azure, with hands-on experience in cloud-native data solutions. Strong debugging and optimization skills for large-scale data pipelines. Soft Skills : Ability to collaborate with cross-functional teams and translate business needs into technical requirements. Excellent problem-solving and analytical skills. Strong communication skills for explaining technical concepts to non-technical stakeholders. Preferred Qualifications: Certification as a Databricks Certified Data Engineer or Databricks Certified Professional . Hands-on experience with Databricks MLflow for experiment tracking and model deployment. Previous contributions to Databricks-related open-source projects, blogs, or technical community engagements. Familiarity with HIPAA compliance and healthcare data management.

Role: Azure Data Engineer Expereince: 10+ years Location: PAN India Job Description The Data Engineer will be responsible for the build of Enterprise Data platform. Setting up the data pipelines that are scalable, robust and resilient and build pipelines to validate, ingest, normalize/enrich and business-specific processing of healthcare data. Build Azure Data Lake leveraging Databricks technology to consolidate all data across the company and serve the data to various products and services. The scope of this role will include working with engineering, product management, program management and operations teams in delivering pipeline platform, foundational and application-specific pipelines and building the Data Lake in collaboration with business and other teams. Responsibilities Design, Develop, Operate and drive scalable and resilient data platform to address the business requirements Drive technology and business transformation through the creation of the Azure Data Lake Ensure industry best practices around data pipelines, metadata management, data quality, data governance and data privacy Partner with Product Management and Business leaders to drive Agile delivery of both existing and new offerings; assist with the Leadership and collaboration with engineering organizations within Change to manage and optimize the portfolio Required Skills 10 + working experience in Data processing / ETL / Big data technologies like Informatica, Hadoop, Cloudera 4+ years of working experience in Databricks (essential) and Python Experience with Cloud / Azure architectural components Experience building data pipelines and infrastructure Deep understanding of Data warehousing concepts, reporting and Analytical concepts Experience with Big Data tech stack, including Hadoop, Java, Spark, Scala, and Hive, NoSQL data stores Bachelor s degree in Mathematics, Physical Sciences, Engineering or Computer Science Nice to Have skills Experience in leading design and development of large systems Demonstrates strong drive to learn and advocate for development best practices Proven track record of building and delivering enterprise-class products Full Stack Experience (End to End Development) Crisp and effective executive communication skills, including significant experience presenting cross-functionally and across all levels

Hiring SEO Executive in Bangalore at lollypop Design studio Job Role SEO Executive We are looking for a talented SEO executive to handle the complete SEO and related content for all our brand websites. You will be part of the marketing team and will work closely with the development and content teams on all SEO work for our websites. Are you someone who is intrigued and amused by how Google tracks websitesKnow content is the kingHow do crawlers workAnd then make them work for your websitesThen this job is for you. Go ahead and apply if you wish to be part of the most amazing marketing team!! Experience: 1-3 Years Qualification: Relevant Degree/MBA from a reputed College Your Responsibilities Identifying and implementing strategies for increasing website traffic through organic search. Identify SEO problems or inhibiting factors, diagnose the root cause, and devise effective interventions. Conduct on-page and off-page optimization to improve website ranking. Build high-quality backlinks to enhance domain authority and search visibility. Implement all essential steps for effective SEO, including website structure, technical SEO, keyword analysis, meta tags, titles, submissions, traffic analysis, and rank optimization, etc. Collaborate with development and content teams to implement SEO strategies. Conduct keyword research and optimize content, metadata, and internal linking, ensuring improved SERP rankings and organic traffic growth. Create high-quality, SEO-friendly content that is relevant to the brands and aligns with search engine best practices. Create content for website site maps, schema, meta tags, and descriptions. Research and address URL architecture, page errors, content and navigational issues, and other factors that impact website performance. Develop structured data strategies, rich snippets, and featured snippet implementation. Improve site speed and Core Web Vitals by working closely with the development team to ensure best practices are implemented. Monitor, analyze, and report on SEO performance, including organic traffic, keyword rankings, and conversions. Superpowers you will need At least 1 3 years of relevant experience in SEO. Experience in writing compelling and optimized content for SEO. Team handling experience is desirable. Basic understanding of HTML, CSS, and JavaScript for SEO purposes In-depth knowledge of Google Algorithm its updates In-depth knowledge of Google Analytics, search console, and Tag Manager. Knowledge of WordPress is a must. Hands-on experience in SEO tools like Ubersuggest, Google Keyword Planner, Hubspot, and KeywordTool.io.

Experience developing customer-facing interfaces. Experience with the Life Cycle of Development including Salesforce Deployment / Packaging using Metadata API, ChangeSet and code coverage Experience implementing Salesforce Experience cloud, Service Console is required. Experienced in Apex, Triggers, JavaScript, VisualForce, LWC, SOQL, REST API, Bulk API etc., Experienced with flows, approvals, email to case, actions, sandbox configurations and other admin configurations. Ability to problem solve high-level software and application issues. Middleware integration tool exposure We are a team of self-starters who excel in their fields. We believe in giving you responsibility, not just a task. We want you to have ownership and pride in the work you are doing and see the positive impact of your work on your colleagues, our customers, and the world. We believe in providing transparency and support, so you can do the best work of your career. We are committed to creating a dynamic and flexible work environment that nurtures the collaborative spirit of our team. Employees residing near our Bangalore, and Noida offices are working from the office twice a week with the goal of transitioning to three times per week within the year. Experience our comprehensive benefits with family medical, vision, and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.

Analyze L7 Security Gateway ITG Environment & Setup Understand existing UID setup Onboard to CP OKTA and modify SAML metadata and config to integration with CP OKTA Testing CP OKTAfor external user Testing WF OKTA for internal user UAT MTP Hypercare Skills PRIMARY COMPETENCY : Information Security PRIMARY SKILL : Security Design & Integration PRIMARY SKILL PERCENTAGE : 60 SECONDARY COMPETENCY : Information Security SECONDARY SKILL : Identity & Access Management SECONDARY SKILL PERCENTAGE : 40

Solution Architect role. Key responsibilities Data and AI Platform Design and Architecture : Design and architect end-to-end solutions for data platforms, integrating data lakes, warehouses, and advance analytics capabilities, primarily using Databricks, Snowflake and AWS cloud, aligning to business requirement emphasizing security, compliance, and governance. Create and maintain technical capability models and architecture blueprints to guide current and future-state implementations. Develop and maintain reference architectures, blueprints, and solution design patterns for data platform. Guide the integration of modern database technologies, including SQL and NoSQL databases. Design ML platform solutions, to deliver end-to-end ML lifecycle, from exploration to deployment to serving and monitoring. Design scalable and modular Gen AI platform solutions that integrate with existing data ecosystems on AWS. Define reference architectures for implementing LLMs, retrieval-augmented generation (RAG), and prompt engineering. Architect and oversee the technical implementation of a data and AI platform and applications, in line with compliance, governance and security standards. Guide the adoption of MLOps and LLMOps best practices for Gen AI, ensuring efficient deployment, monitoring, and lifecycle management of AI models. Ensure the governance and security principles established by the PMI Infosec team are adhered in all data and AI platform solutions, ensuring compliance with PMI IT policies and standards. Conduct regular security reviews in collaboration with the security team and submit architectural designs to the review board for evaluation and approval. Collaboration and Communication: Collaborate with business and technical stakeholders to gather requirements and define strategies for data platform modernization. Work closely with cross-functional teams to ensure successful implementation of architectural solutions. Technology and Vendor assessment: Participate in evaluation and recommendation of emerging data and AI technologies, leading proof-of-concept initiatives, and pilot projects, ensuring alignment with business and technology platform needs. Best Practices and Standards: Establish and enforce Data platform best practices, standards, and guidelines. Collaborate with different Architectures teams (Enterprise, solution, data, and security) to establish design pattern factory and take lead on democratizing the design patterns for reusability. Create and deliver reusable technical assets and design patterns that help to accelerate the adoption of data and AI solution on AWS platform. Architectural Guidance and Documentation: Create and maintain comprehensive documentation for all data and AI platform solution. What we need Technical Proficiency: Extensive hands-on experience in Big Data, Distributed Systems, and Cloud Architectures, particularly on AWS, leveraging SaaS, IaaS, and PaaS offerings. Minimum 3 years experience in designing data platforms using Databricks. Architecture experience with Snowflake, dbt and Matillion is also desired. Experience and good understanding on Cloud infrastructure, networking and IAM services on AWS. Proven experience in designing AI/ML platform solutions, including ML lifecycle management, MLOps and Gen AI Familiarity with generative AI capabilities, patterns, and technology stacks, including emerging trends. Database Knowledge: Proficient with relational databases and NoSQL databases, such as Document DB and Graph DB. Skilled in working with both structured and unstructured data. Integration: Strong knowledge of data integration methods, including messaging, queuing, change data capture, and data virtualization. BI/Visualization Nice to have experience on BI tools like Power BI, Graph Visualization reporting. Data Concepts and Management: Solid understanding of data lake, data mesh, and data fabric architectures. Hands on experience in data ingestion, processing, metadata management, data security, privacy, and governance. Architectural Expertise: Proficient in architecting and documenting data and AI platform solutions at various levels using solution architecture methodologies and best practices. Communication Skills: Excellent oral and written communication skills, with the ability to effectively convey technical concepts to both technical and business audiences. Snowflake, Solution Architect

ql-editor "> Tezo is a new generation Digital AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. Seeking a highly skilled and modern Data Engineering Manager to lead technical teams in architecting and delivering cutting-edge data solutions across multiple cloud platforms. This role requires deep expertise in AWS, Azure, GCP, Snowflake, and Databricks , along with a strong background in data engineering, architecture, and analytics. As a Technical Manager , you will drive end-to-end data solutioning , oversee data pipeline development , and ensure scalability, performance, and security while aligning solutions with business objectives. Key Responsibilities: Solution Architecture: Design and implement modern, scalable, and high-performance data architectures across cloud platforms (AWS, Azure, GCP). Data Engineering Integration: Develop, optimize, and manage ETL/ELT pipelines , data lakes, and real-time streaming solutions using Snowflake, Databricks, and cloud-native tools . Cloud Data Platforms: Deploy and manage data warehousing, analytics, and lakehouse solutions on AWS (Redshift, Glue, S3), Azure (Synapse, ADF, Data Lake), GCP (BigQuery, Dataflow). AI ML Integration: Collaborate with data scientists to integrate AI/ML models into data pipelines and optimize analytics workflows . Data Governance Security: Implement data governance frameworks , compliance (GDPR, CCPA), role-based access controls , and best practices for security across multi-cloud environments. Technical Leadership: Lead and mentor a team of data engineers, define best practices , and drive innovation in data engineering strategies. Performance Optimization: Ensure cost-efficient and high-performance data processing , leveraging Spark, DBT, and cloud-native tools . Cross-Cloud Integration: Design interoperable solutions that leverage multi-cloud capabilities for data movement, transformation, and analytics. Stakeholder Management: Collaborate with business leaders, data analysts, and engineering teams to deliver data-driven solutions aligned with business needs. Required Skills Qualifications: Core Technical Skills: Cloud Data Ecosystems: Hands-on expertise with AWS (Redshift, Glue, S3, Lambda), Azure (Synapse, Data Lake, ADF), GCP (BigQuery, Dataflow, Pub/Sub) . Experience in multi-cloud data strategy and interoperability . Data Engineering Pipelines: Strong experience in ETL/ELT development using Snowflake, Databricks, Apache Spark, DBT, Airflow . Expertise in real-time and batch data processing (Kafka, Spark Streaming, Flink). Databases Warehousing: Strong knowledge of SQL and NoSQL databases (Snowflake, BigQuery, Redshift, DynamoDB, Cosmos DB, MongoDB). Deep experience in Data Lakehouse architecture using Databricks, Delta Lake . Programming Automation: Proficiency in Python, SQL, Scala, Java for data transformations and automation. Experience with IaC (Terraform, CloudFormation, ARM templates) for provisioning cloud data infrastructure. Data Governance Security: Knowledge of RBAC, IAM, encryption, GDPR/CCPA compliance in cloud environments. Experience with data cataloging, lineage, and metadata management . AI ML for Data Pipelines: Hands-on experience integrating AI/ML models into production data pipelines. Leadership Soft Skills: Strong leadership and mentorship experience in managing high-performing engineering teams. Ability to translate business needs into technical requirements and deliver solutions. Excellent stakeholder communication and collaboration skills. Experience in agile methodologies and DevOps for data engineering.

ql-editor "> Tezo is a new generation Digital AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. As the Demand Generation Digital Marketing Manager , you will lead the charge at driving organic growth, inbound marketing, and SEO strategy to generate MQLs. Your role will focus on developing multi-channel content strategies, optimizing website performance, and leveraging marketing automation to nurture and convert leads. You will collaborate closely with content, sales, and marketing teams to create data-driven, high-impact campaigns that contribute to pipeline and revenue growth. Key Responsibilities: Demand Generation Lead Nurturing: Develop and execute multi-channel inbound marketing campaigns (email, organic social media, content marketing) to generate high-quality MQLs . Own lead segmentation and audience targeting to ensure the right messaging reaches the right prospects. Work closely with sales teams to align marketing efforts with revenue goals, optimizing lead conversion and nurture strategies. Leverage intent data and analytics to refine marketing efforts and enhance engagement. Organic SEO Website Optimization: Develop and execute a comprehensive organic SEO strategy , improving website rankings and increasing organic traffic. Optimize on-page and technical SEO , including metadata, schema markup, and site structure for better visibility and user experience. Track website performance using Google Analytics, Ahrefs, SEMrush, or similar tools , making data-driven recommendations for improvement. Manage and improve website content, landing pages, and site architecture to enhance lead capture and conversion rates. Oversee A/B testing of website pages and user journeys to maximize engagement and conversions. Content Thought Leadership: Collaborate with content marketers to create and distribute high-value assets (blogs, whitepapers, case studies, webinars, email campaigns). Drive organic social media growth by developing a strategic content calendar and engagement strategy for platforms like LinkedIn. Develop and execute email marketing campaigns to nurture prospects and improve conversion rates. Analyze content performance and optimize for engagement, lead generation, and SEO impact . Marketing Automation CRM Management: Implement and manage marketing automation workflows to streamline lead scoring, email sequences, and sales handoff . Optimize CRM integrations to ensure data accuracy and personalized outreach for higher engagement. Track marketing KPIs (lead volume, conversion rates, CPL, CAC) and make data-driven recommendations. Qualifications Experience: 8+ years of experience in Demand Generation, Digital Marketing, or Content-Led Growth in a B2B IT Solutions / SaaS environment . Proven ability to build and execute organic SEO and inbound marketing campaigns that generate MQLs . Strong experience with SEO tools (Google Analytics, Ahrefs, SEMrush, Moz) and website optimization best practices . Hands-on expertise in marketing automation platforms (HubSpot, Marketo, Pardot, etc.) and CRM integration. Deep understanding of Account-Based Marketing (ABM) and content-driven demand generation . Experience in content strategy, email marketing, and organic social media growth . Strong analytical skills with a data-driven mindset to measure marketing ROI and campaign performance. Excellent collaboration, communication, and project management skills. This role is ideal for someone who thrives at the intersection of demand generation, SEO, content strategy, and marketing automation building a sustainable, organic growth engine that drives MQLs and revenue.

Description The ENS services team at Burns McDonnell India is building a team to support the US offices. The work that the ENS team supports include air quality services, remediation services, natural cultural resources. Burns McDonnell India is looking for a candidate to join our environmental Services (ENS) Group in Mumbai office to provide Geographic Information System (GIS) capability to BMcD projects mainly in USA. The Geographic Information Systems (GIS) Trainee will assist in developing, updating, analyzing, and managing GIS data for a wide variety of professional services. This position will assist in a variety GIS analysis, GIS data development, GIS data maintenance and data preparation in Desktop as well as ArcGIS Online for use in public safety GIS systems. The Assistant GIS Specialist will work closely within functional teams to deliver GIS data and GIS services to our clients, with a strong emphasis on teamwork, customer commitment, sense of urgency, and continuous improvement. Assist with GIS, data, and mapping for the Engineering, and Surveying departments while supporting both internal and external project teams. Assist with GIS mapping and data collection tasks using ArcGIS Online feature layers and mobile apps like Collector/Field Maps and Survey123 for ArcGIS. Utilize various software packages and information from various sources (MS Access databases, MS Excel spreadsheets and documents such as deeds, field notes etc.) to create GIS maps to support field personnel as well as for deliverables. Assist with digital feature extraction from multiple data sources. Assist in the projections and transformations for project deliverables. Assist in the creation and updating of new and existing GIS maps and map layers and GPS data edition and representation using ArcGIS in support of field surveys. Assist with GPS data collection and post-processing for high accuracy data specifications. Assist with GIS metadata creation. Assist with land survey records search, ownership data research from various sources. Assist with georeferenced Raster and Vector data. All other duties as assigned. Qualifications Bachelors degree in GIS, geography, environmental science, or closely related natural science field, with masters degree in similar field a plus. ArcGIS Desktop 10.1 or higher; ArcGIS Pro experience is preferrable over ArcMap. Basic knowledge of ArcGIS Online and Esri suite of mobile apps. GIS skills, including data analysis abilities. Excellent written and verbal communication skills. Strong analytical and problem-solving skills. Proficient computer skills including Microsoft Office suite. Job Engineering Primary Location India-Karnataka-Bengaluru Schedule: Full-time Travel: No Req ID: 250740 Job Hire Type Experienced Not Applicable #BMI N/A

Skills Qualifications: 2+ years of hands-on SEO experience Proven expertise in backlinking strategies Strong knowledge of on-page, off-page, and technical SEO Proficiency in SEO tools (Ahrefs, SEMrush, Moz, Google Search Console, Google Analytics) Experience in keyword research and content optimization Ability to analyze SEO data and generate insights Strong communication and collaboration skills Job Title: SEO Executive Experience: 2+ Years Employment Type: Full-time Job Summary: We are looking for a results-driven SEO Executive with at least 2 years of experience in search engine optimization. The ideal candidate should have a strong background in backlinking strategies, on-page and off-page SEO, and expertise in using SEO tools. This role requires a data-driven approach to improving website rankings and driving organic traffic. Key Responsibilities: 1. Backlinking Off-Page SEO Develop and execute high-quality backlinking strategies. Identify and collaborate with relevant websites for guest posting, link exchanges, and outreach campaigns . Monitor and analyze the backlink profile to remove toxic links and improve domain authority. Stay updated with Googles algorithm updates and adjust backlinking strategies accordingly. 2. On-Page SEO Optimize website structure, metadata, internal linking, and content for better rankings. Conduct keyword research and implement SEO best practices in content. Work closely with the content team to develop SEO-friendly articles, blogs, and web pages . 3. Technical SEO Audit and optimize website speed, mobile responsiveness, and crawlability . Identify and fix broken links, redirects, and indexing issues . Implement schema markup and structured data to enhance search engine visibility. 4. SEO Analytics Reporting Use tools like Google Analytics, Search Console, Ahrefs, and SEMrush to track performance. Generate monthly reports on traffic, rankings, and conversions with actionable insights. Provide recommendations for continuous SEO improvements. TECHVED Consulting India Pvt Ltd. is a leading Global Usability Design Company with over a decade of reputation in providing a host of usability services to various sectors such as BFSI, E-Commerce, E-Learning, Telecom, Healthcare, etc. We are consistently among the top 5 UX/UI consulting companies in India. Our Clients are one of the top players in their respective industries and are have a long term engagement with us. We have grown from a design agency to one of the top UX/UI solution providers today. We are growing day by day and to fuel the growth, we are looking for individuals who thrive on fun and creativity while spurring teamwork and innovative thinking. Explore more at: www.techved.com

About the Role: We are looking for a Software Engineer PEGA with 3 years of experience in developing code and test case scenarios by applying relevant software craftsmanship principles and meet the acceptance criteria. Requirements: Completing the assigned learning path and contribute to daily meetings. Taking part in team ceremonies be it agile practices or chapter meetings. Delivering high-quality clean code and design that can be re-used. Performing bug-free release validations and produce test and defect reports. Contributes to developing scripts, configuring quality and automating framework usage. Runs and maintains test suites with the guidance of seniors. Supports existing data models, data dictionary, data pipeline standards, storage of source, process and consumer metadata.

The Senior MDM Developer will be responsible for designing, implementing, and optimizing Master Data Management (MDM) solutions using industry-leading tools such as Informatica , Reltio , or similar platforms. This role focuses on ensuring robust data governance, accurate entity resolution, and scalable MDM processes to deliver clean, reliable, and actionable data for enterprise use. Requirements Key Responsibilities: Develop and configure MDM solutions using platforms such as Informatica MDM , Reltio , or other MDM tools to support entity resolution, match-and-merge, and survivorship rules. Implement data governance and data quality frameworks, ensuring accuracy and consistency across datasets. Create workflows to address common MDM challenges, including data deduplication, enrichment, and anomaly detection. Build scalable pipelines for integrating data from multiple sources, including structured and unstructured data, into the MDM platform. Collaborate with business and technical teams to define and implement MDM business rules and workflows based on organizational requirements. Provide technical support and troubleshooting for MDM-related issues, ensuring system reliability and uptime. Conduct regular audits and validation processes to maintain data accuracy and compliance with industry standards such as HIPAA or GDPR. Stay updated on the latest advancements in MDM platforms, tools, and methodologies, bringing best practices to the team. Qualifications: Educational Background : Bachelor s or Master s degree in Computer Science, Information Systems, or a related field. Experience : 6+ years of experience in MDM development, with hands-on expertise in tools like Informatica MDM , Reltio , or similar platforms. Strong experience in implementing workflows for match-and-merge , survivorship , and hierarchy management . Deep understanding of data quality principles, governance frameworks, and metadata management. Proven experience in integrating multiple data sources (e.g., CRMs, ERPs, third-party APIs) into MDM platforms. Familiarity with graph-based MDM methodologies and hierarchy visualizations. Technical Skills : Expertise in Informatica MDM , Reltio , or comparable platforms, including configuration and administration. Proficiency in SQL and scripting languages (e.g., Python) for data processing and analysis. Knowledge of REST APIs and integration with external systems such as Salesforce, SAP, or Workday. Strong understanding of data modeling techniques, particularly for MDM use cases. Soft Skills : Strong analytical and problem-solving skills for addressing complex MDM challenges. Excellent communication skills to collaborate with business and technical teams. Ability to prioritize tasks and deliver solutions in a fast-paced environment. Preferred Qualifications: Certification in Informatica MDM or Reltio or similar platforms. Experience in implementing MDM solutions for healthcare, life sciences, or financial services industries. Knowledge of compliance standards such as HIPAA, GDPR, or CCPA. Experience with other data management tools (e.g., Talend, Collibra) is a plus.

Job Title: SEO Content Manager Location: Bangalore, India (Work from Office) Experience: 5+ years in a high-growth D2C brand Department: Growth About Snitch Snitch is one of India s fastest-growing men s fashion brands, redefining modern menswear with trend-driven, high-quality apparel. As a digital-first D2C brand, we are on a mission to revolutionize men s fashion with innovation, style, and accessibility. We are looking for an experienced SEO Content Manager to join our Growth team and spearhead our content-driven SEO strategies. Role Overview As an SEO Content Manager , you will be responsible for crafting and executing a content strategy that enhances Snitch s visibility across multiple platforms, including Google Search, Apple Search, YouTube, Google Play Store, and Apple App Store . You will play a pivotal role in driving organic traffic, improving search rankings, and increasing brand engagement. The ideal candidate is a content-driven SEO expert with experience in e-commerce, a deep understanding of search algorithms, and a passion for storytelling in the fashion space. Key Responsibilities SEO Content Strategy Development Develop and execute a comprehensive content roadmap to improve organic search rankings across platforms. Build a keyword strategy targeting high-intent, fashion-relevant search terms to drive traffic and conversions. Optimize Snitch s presence on Google Search, Apple Search, YouTube, Google Play Store, and Apple App Store through structured content strategies. Work closely with the Performance Marketing team to align organic growth strategies with paid campaigns. Content Creation Optimization Plan, write, and oversee high-quality content, including blog posts, category pages, product descriptions, and video scripts that align with search intent. Implement on-page SEO best practices such as structured data, internal linking, and tag optimization. Collaborate with designers, videographers, and social media teams to create compelling visual and video content optimized for search engines. Technical SEO ASO (App Store Optimization) Optimize website structure, page speed, and mobile performance to enhance search rankings. Conduct regular SEO audits and implement necessary fixes for better indexability and crawlability. Improve Snitch s rankings in Google Play Store Apple App Store by refining app titles, descriptions, screenshots, and reviews. YouTube Video SEO Develop a YouTube SEO strategy to optimize Snitch s video content for search and discovery. Implement metadata best practices, including keyword-rich titles, tags, descriptions, and captions. Leverage YouTube analytics to track video performance and optimize content accordingly. Analytics Performance Tracking Monitor and analyze SEO performance using tools like Google Analytics, Google Search Console, Ahrefs, SEMrush, and App Store analytics. Generate reports and insights to measure the effectiveness of content strategies and drive data-backed improvements. Stay updated with the latest SEO trends, Google algorithm updates, and industry best practices. Who You Are: A content-first SEO specialist with 5+ years of experience working with high-growth D2C brands, preferably in fashion or lifestyle. Strong understanding of SEO, ASO, and content marketing fundamentals. Proven experience in executing content-led SEO strategies that drive organic traffic and revenue. Proficiency with SEO and analytics tools such as Google Analytics, Google Search Console, Ahrefs, SEMrush, and Screaming Frog. Knowledge of App Store Optimization (ASO) best practices for Google Play Store Apple App Store . Experience in YouTube SEO and optimizing video content for discoverability. Excellent writing, editing, and storytelling skills with an eye for fashion and trends. Strong project management skills, with the ability to handle multiple initiatives simultaneously. A passion for fashion, content marketing, and data-driven decision-making. Why Join Snitch Be a part of a dynamic and fast-growing fashion brand disrupting the men s apparel space in India. Work in a high-impact role where your strategies directly contribute to the brand s growth and visibility. Opportunity to lead and innovate in a content-driven SEO ecosystem across multiple platforms. Collaborate with a young, creative, and a passionate team.

JD - SEO Specialist ZenTrades Company Overview: At ZenTrades, we re building a unified umbrella for field service companies. We want to be a one-stop solution to the problems our customers go through every day. Not only does our platform save them time but helps them generate revenue and scale their business. We are changing the course of the field services in the country, one city at a time!ZenTrades offers you an exciting and challenging environment in which you can grow and thrive. We are offering you roles in which you will be fundamentally impacting the success of the company. At ZenTrades, we are looking for people who are concerned about the customer at all times. Customer centricity is a key tenet of all our processes. We value creativity, hard work, initiative, and radical ideas. As an SEO Specialist, you will actively contribute to meaningful projects, work closely with leadership, and gain significant experience in working directly with high-velocity growth teams and exciting real-world software engineering experience. What is in store for you Join the Pioneers: Become an integral part of a company thats making waves by redefining the status quo. Get ready to be part of something truly remarkable Cutting-Edge Innovation: Dive into the world of cutting-edge technologies and products that are reshaping how the home services industry functions in the North American market. Youll be at the forefront of industry transformation SaaS Industry Impact: Play a pivotal role in making a significant impact in the multi-billion-dollar Software as a Service (SaaS) industry, contributing to its ongoing evolution Unlimited Growth Potential: Your journey with us promises continuous learning and immense personal and professional growth. Your horizons will expand far beyond your current limits Embrace Start-Up Culture: Experience a vibrant start-up culture that youll cherish throughout your career. Enjoy an atmosphere of innovation, agility, and collaboration that fuels your passion for work Job Responsibilities: Conducting keyword research to pinpoint valuable keywords and creating content strategies centered around them Conduct comprehensive site auditing and proactively identify on-page and technical SEO opportunities Enhancing search engine rankings by optimizing on-page elements such as website content and metadata Monitoring and evaluating website traffic and search engine rankings to identify opportunities for optimization and developing plans accordingly Developing and executing SEO and Content strategies Working closely with content writers to optimize content Understanding of user intent and how to create content that meets it Managing and optimizing SEO tools like Google Analytics to track website performance and make informed decisions Working alongside the marketing team to create and execute content marketing campaigns Staying current with the latest SEO developments and algorithm updates, and applying them to enhance website performance Communicating SEO results and recommendations to the marketing team and other stakeholders Proven experience in ranking a website in the top 10 result Hands-on experience using tools like Semrush, ahrefs, Moz, clarity, etc. Understanding of HTML and CSS would be an add-on Job Requirements (Skills and Experience): A minimum of relevant 2 years of SEO experience, preferably in a SaaS/ B2B environment A solid understanding of search engine algorithms and ranking elements Data-driven super-analytical in prioritizing various traffic generation branding activities Strong knowledge of SEO Tools (keyword tools, Google Analytics, Google Search Console, Semrush, Moz, Ahref, etc) Surfer SEO: for content optimization SEMrush: for SEO analysis and competitor research Google Analytics: for tracking and analyzing website traffic Google Search Console: for monitoring site performance and search queries Link Whisper: for internal linking and backlink management Fluency in SEO core elements including on-page and off-page tactics, site-navigation optimization, internal linking, URL structure, metadata, headers, page templates, XML sitemaps, canonical tags, structured data tags, etc Curious about delivering quality content, putting the user at the heart of the creation process Concept ideas that build awareness about our brands famous Worked with early-stage start-ups or SaaS companies in the past You have strong communication and articulation skills Can-do attitude or can hustle Proven time management skills, with an ability to effectively establish and execute priorities in a dynamic and changing environment A belief in taking end-to-end ownership of things Excellent attention to detail, accuracy, and quality Why ZenTrades At ZenTrades, we are looking for a highly motivated, energetic ambitious individual who wants to join a dynamic growing startup with proven market demand and a growing Sales Team. This role would require the individual to introduce ZenTrades s flagship FSM platform to new customers, set up appointments, and identify new opportunities for the company. This is a highly visible role and the efforts will be recognized and duly rewarded. ZenTrades offers a fun, fast-paced, innovative environment where you will be provided with the tools and necessary resources to generate sales opportunities for the company. You ll enjoy working with us because we aren t a company of silos. Team members are empowered and encouraged to pursue out-of-the-box ideas, think for themselves, and make mistakes. We encourage you to challenge our status quo. Timings: Note: You will be required to operate in the US time zone which is - 4:00 pm IST to 2:00 am IST from the Pune Location

Position Overview Data Engineers are data experts who dive right into new client projects and make it their job to understand how a client s data fits into our Industry Intelligent data models. Utilizing this knowledge and the industry s newest technologies, they create high performance databases that become the very foundation of the work we do. Critical at all stages of the data science process, Data Engineers work cross-functionally with both external and internal teams from business analysts to data scientists; web app developers to platform engineers; IT teams to high-level executives. Senior Data Engineers also provide valuable feedback to our software team that helps to shape the development of Aunsight, our proprietary end-to-end cloud analytics platform; and the development of our proprietary web applications. The best Data Engineers are patient, persistent, focused, creative, and incredibly curious. They love to learn and seek out opportunities to identify unexpected solutions or develop alternate ways to solve challenging problems. Essential Duties Responsibilities: Build and own one source of truth data sets to facilitate consistency and efficiency in extracting and analyzing data from disparate data sources Ensure data integrity by developing and executing necessary processes and controls around the flow of data Innovate and improve efficiency of managing data to allow for greater speed and accuracy of producing analyses, metrics, and insights Collaborate with internal and external teams to understand business needs/issues, troubleshoot problems, conduct root cause analysis, and develop cost effective resolutions for data anomalies Utilize technology to analyze data from applicable systems to review data processes, identify issues, and determine actions to resolve or escalate problems that require data, system, or process improvement Verify accuracy of table changes and data transformation processes. Test changes prior to deployment as appropriate. Recommend and implement enhancements that standardize and streamline processes, assure data quality and reliability, and reduce processing time to meet client expectations Communicate progress and completion to project team; escalate roadblocks that may impact delivery schedule Stay up to date on data engineering and data science trends and developments Follow company policy and procedures which protect sensitive data and maintain compliance with established security standards and best practices Preferred Skills: Bachelor s degree in Computer Science, Computer Engineering, Mathematics, or related field, or 3+ years of relevant work experience Four or more years experience working as a Data Engineer Experience working with relational database structures, SQL and/or flat files and performing table joins, web crawling, and web development Proficiency in one or more of the following programming languages: PHP, Java, or Python and a familiarity with Node.js Experience working with commercial relational database systems such as electronic medical records or other clinical systems, client relationship management software, or accounting systems Familiar with various data management methodologies, data exploration techniques, data quality assurance practices, and data discovery/ visualization tools Prior experience supporting business intelligence operations, managing technical, business, and process metadata related to data warehousing preferred Experience working with NoSQL, Hive, MapReduce, and other Big Data technologies is preferred but not required; willing to train the right candidate Natural curiosity about what s hidden in the data through exploration, attention to detail, and ability to see the big picture similar to putting together a 10,000-piece puzzle Resourceful in getting things done, self-starter, and productive working independently or collaboratively ours is a fast-pace entrepreneurial environment with performance expectations and deadlines Ability to professionally communicate your ideas (verbal and written) Share our values: growth, relationships, integrity, and true grit Whats in it for You Opportunity to work with a rapidly expanding tech company in the booming field of data analytics alongside some of the brightest minds in the industry Opportunity to work with cutting-edge technology in a casual, fun environment Flexible schedule and paid time off Competitive salary and benefits package

Role Proficiency: Acts under continuous guidance and support develop test and document applications Outcomes: Interpret the applications features and component design developing the same in accordance with user stories/ specifications per directions provided Code debug test. document and communicate product/component/feature development stages. Identify and report opportunities to improve efficiency and quality (e.g. repeatable processes that can be automated) Adhere to project timelines and communicate effectively over e-mails and conversations Conduct unit testing to validate unit level functionalities Practice FAST goals; seek and accept feedback Learn technology business domain system domain individually and as recommended by the project/account Measures of Outcomes: Adherence to engineering process and standards (coding standards) Adherence to schedule / timelines Adherence to SLAs where applicable Number of defects post delivery Number of non-compliance issues Reduction of reoccurrence of known defects Quickly turnaround production bugs Meet the Defined productivity standards for project Completion of all mandatory training requirements Outputs Expected: Code: Learn coding standards and practice them in development. Develop code with guidance for the above Configure: Follow configuration process Test: Create and conduct unit testing Document test results Domain relevance: Develop features and components with good understanding of the business problem being addressed for the client Manage Defects: Raise fix retest defects Document: Create documentation for ones own work Status Reporting: Report status of tasks assigned Comply with project related reporting standards/process Manage knowledge: Consume project related documents share point libraries and client universities Release: Adhere to release management process Requirement: Understand the requirements/user stories Design: Understand the design/LLD and link it to requirements/user stories Skill Examples: Explain and communicate the design / development to the mentors/leads Perform and evaluate test results against product specifications Develop user interfaces business software components and embedded software components Manage and guarantee high levels of cohesion and quality Use data models Perform and evaluate tests in the customer or target environment Team player Good written and verbal communication abilities Proactively ask for and offer help Knowledge Examples: Appropriate software programs / modules Programming languages DBMS Operating Systems and software platforms Integrated development environment (IDE) Agile methodology Knowledge of customer domain and also sub domain where problem is solved Additional Comments: Senior Software Engineer (Oracle Hyperion) Roles Responsibilities Minimum 10 years of overall experience in Oracle EPM/ Hyperion space with 7- 8 years in Financial Consolidation and reporting Implementations. In-depth knowledge and hands-on experience in developing/supporting HFM applications including defining metadata (accounts, entities, scenarios, custom dims, currency, etc ), consolidation methods, member lists, journals, data forms, intercompany transactions, as well as rules development (expressions, functions, variables, sub procedures, conditional / consolidation / elimination rules, string comparisons, subcubes, etc ) Should have functional knowledge to understand business requirements for setting up financial statements (like Cash flow, roll forwards, CTA, etc.) in HFM and point out gaps of requirements in HFM application. Perform reconciliations between HFM , Essbase and source system for financial statements like Trial Balance. Produce consistent and accurate technical and end-user documentation of assigned applications Understand how assigned applications/systems link with other programs/processes along with the overall system architecture and provide recommendations on how to improve existing/proposed processes. Adhere to company change management practices. Provide end user support on Hyperion Essbase, planning, HFM, DRM, ARM and SmartView Supports the monthly application maintenance process and Participates in the feasibility analysis for new systems/applications. Monitors the operating efficiency of existing application systems and provides (or arranges for) proactive maintenance. Reviews, analyzes, and modifies applications, including coding, testing, configuring, and debugging for Hyperion applications. Maintains records to document the system and revisions Provides technical support to address production issues and Participates in training, as appropriate, on new or revised systems/ applications. Provides guidance to junior team members and Communicates applications changes to Technology team members Works independently and provides guidance within technical area, applying in-depth knowledge of multiple technologies, as appropriate Technical Expertise Demonstrates an advanced understanding of the following Oracle EPM products (version 11.2.x): Hyperion Essbase and Planning Experience with EPBCS,FCCS, ARCS and Data Management Financial Data Quality Management, Enterprise Edition (FDMEE) Data Relationship Management (DRM) Financial Management (HFM) Account reconciliation Manager (ARM) SmartView VBA, PowerShell, MaxL Nice to Have Knowledge of Oracle EBS, OBIEE, Tableau and other reporting modules Oracle certified implementation.

Job Summary: As an SEO Executive, you will develop and execute SEO strategies to improve organic visibility and rankings. You will be responsible for performing both on-page and off-page SEO tasks, working with the content and web development teams, and providing actionable insights from SEO data. Key Responsibilities: - Develop and execute on-page and off-page SEO strategies. - Conduct thorough keyword research to guide content development. - Optimize website content for search engines (e.g., metadata, internal linking, structured data). - Perform competitive analysis to identify SEO opportunities. - Collaborate with the content team to create SEO-friendly content. - Monitor and analyze SEO performance using tools like Google Analytics, Google Search Console, SEMrush, and Ahrefs. - Build and manage link-building campaigns to improve domain authority. - Provide regular SEO performance reports to management. - Stay updated on search engine algorithm updates and industry trends. Requirements: - Strong understanding of SEO principles and techniques. - Proficiency with SEO tools such as Google Analytics, Search Console, SEMrush, Ahrefs, etc. - Experience in keyword research, link-building, and content optimization. - Strong analytical skills and attention to detail. - Excellent written and verbal communication skills. - Ability to work independently and manage multiple projects simultaneously. Qualifications: - Bachelor s degree in Marketing, IT, Communications, or related field. - 1-2 years of experience in SEO or digital marketing. - SEO certifications (preferred but not required).

br> Employment Type : Full Time, Permanent Work mode : Onsite Job description 8+ years experience, 5+ of which directly working with Salesforce CPQ platform Experience with Salesforce.com including CPQ (Configure, Price, Quote) platform, Sales, Service and Analytics Clouds, and building Force.com pages. Experience with Salesforce.com security model including sharing, profiles, and roles supporting large population of users, both internal and external Deep understanding and experience building, setting up and managing customizations through Connected Apps, Custom Objects, Workflows, Domains, Sites, and Metadata migrations Deep experience with the Sales business and daily challenges facing typical Sales Service organizations Salesforce Certified Platform Developer II (PDII) certification is a must along with Salesforce CPQ Specialist Certification Expert in writing and developing Visualforce, Lightning Web Components, Apex classes, integrations, APIs, custom controllers, Force.com APIs / sites and triggers with a proficiency in HTML, XML, JavaScript, SQL, CSS, Ajax, Java and REST-based web services Expertise in writing test classes building triggers, batch classes, future methods etc. Experience with CI/CD and deployment techniques in Salesforce Education UG: Any Graduate PG: Any Postgraduate

JD - Data Architect Myntra is a one stop shop for all your fashion and lifestyle needs. Being Indias largest online store for fashion and lifestyle products, Myntra aims at providing a hassle free and enjoyable shopping experience to shoppers across the country with the widest range of brands and products on offer. The brand is making a conscious effort to bring the power of fashion to shoppers with an array of the latest and trendiest products available in the country. Myntras cloud based big data platform is highly scalable and processes over 7 billion events per day. We are on a journey to modernize our data platform and offer multiple self-serve offerings for Myntras data consumers. We use the best-of-breed open source components and SaaS solutions as starting points to build out these capabilities along with maintaining critical core data assets of the organization. If you are interested in the fast growing field of big data and analytics, and want to work on big data engineering at scale, building data products and building analytical models (Insights) to power business decisions, then this is the team for you. About the Role: We are seeking a highly skilled Data Architect with deep expertise in data modeling to lead the overhaul of our organizations data model and core datasets. The primary focus will be on revamping our current set of 400 data assets and evolving the data architecture with an outward-in mindset. This transformation must be strategic, phased, and aligned with the organization s growth at scale, ensuring minimal disruption to operations and adherence to a cost-efficient model. The ideal candidate will have extensive experience in handling large, complex data environments, bringing innovative solutions to reimagine the data strategy and architecture while upholding data governance principles. Key Responsibilities: Data Modeling Strategy: Redesign and optimize the current set of 400+ tables by applying best practices in data modeling. Focus on creating scalable, high-performance models that address business needs and future growth. Outward-In Transformation: Lead a strategic, phased revamp of the data architecture, starting from understanding external business requirements and user needs, and working inward to shape a future-proof data model. Phased Revamp Approach: Develop and execute a well-structured, phased roadmap for overhauling the data model. Ensure each phase delivers value incrementally without disrupting ongoing operations or significantly increasing costs. ETL Design Frameworks: Lead the creation and review of reusable, efficient ETL pipelines. Ensure that ETL processes are highly optimized for performance, cost-efficiency, and scalability, minimizing processing times and resource usage. Scalability and Cost Efficiency: Analyze the current architecture, identifying bottlenecks, inefficiencies, and areas of improvement. Propose solutions that scale with the business, optimize costs, and adhere to the zero data copy principle. Data Governance: Collaborate with data teams to ensure all changes align with compliance, data security, privacy regulations, and governance policies. Maintain a strong focus on data quality, lineage, and access controls throughout the transition. Data Lakehouse Optimization: Leverage the strengths of the data lakehouse architecture to optimize data processing, storage, and retrieval strategies. Ensure seamless integration between core datasets and analytics tools. Collaboration: Work closely with data engineers, analysts, and business stakeholders to understand their data needs and ensure seamless delivery of new models. Engage with executive teams to communicate the progress and value of the transformation. Documentation Standards: Ensure robust documentation of all new data models, architectural changes, and governance protocols. Establish and enforce data modeling standards across the organization. Continuous Improvement: Stay updated on emerging trends and technologies in data modeling, architecture, and governance. Apply innovative solutions to drive continuous improvement and long-term efficiency. Qualifications: Education: Bachelors or Master s degree in Computer Science, Information Systems, or a related field. Experience: Minimum 12 years of experience in data modeling and data architecture roles, with a proven track record of handling large datasets and complex environments. Technical Skills: Expertise in data modeling tools (e.g., Erwin, IBM InfoSphere Data Architect). Experience with data lakehouse architectures (e.g. Databricks). Strong understanding of ETL processes, data warehousing, and big data technologies. In-depth knowledge of data governance frameworks, including data quality , metadata management, and compliance (e.g., GDPR, HIPAA). Experience with visualization tools like PowerBI Familiarity with SQL, NoSQL, and cloud data platforms (Azure, Google Cloud). Exposure to Transactional Database design is good to have Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration abilities to work with cross-functional teams. Ability to lead large-scale projects in a fast-paced, dynamic environment.

Project Role Summary Need an experienced Sr. Power BI Developer to design, develop, and optimize interactive dashboards and reports using data sourced from Azure Data Lake, Azure Synapse and Azure SQL databases . The ideal candidate will have deep expertise in Power BI, DAX, SQL, data modeling, and performance optimization to deliver business insights and analytics based on a Medallion Architecture (Bronze, Silver, Gold layers) . This role involves working closely with data engineers, business stakeholders, and analysts to ensure data-driven decision-making, performance optimization, and self-service BI enablement . Key Responsibilities Develop interactive, visually appealing dashboards and reports in Power BI Implement DAX measures, calculated columns and aggregations to optimize performance Build custom visualizations using Power BI s built-in visuals and third-party extensions Enable self-service analytics by providing user-friendly reports and reusable datasets Design optimized data models (Star Schema, Snowflake Schema) for analytical reporting Transform raw data from Azure, SQL, and Data Lake into structured datasets Implement Power Query (M Language) transformations for data cleansing and enrichment Optimize fact and dimension tables for efficient querying and performance Implement query optimization, indexing and partitioning for high-performance reports Optimize DAX calculations, relationships and aggregations for reduced load times Implement Row-Level Security (RLS) and Object-Level Security (OLS) to control access Work with Azure Purview to maintain data lineage and governance Connect Power BI to Azure Data Lake Storage, Azure Synapse, and APIs Implement DirectQuery, Import Mode, and Hybrid connectivity for efficient data access Develop dataflows and shared datasets to support multiple reports and users Integrate Power BI for enterprise-scale reporting Work closely with business stakeholders to gather reporting requirements and design dashboards Provide training and support to business users on Power BI self-service capabilities Collaborate with Data Engineers, Architects and Analysts to ensure data consistency and availability Document data models, transformations and visualization logic for future reference Education Bachelor s/master s degree in computer science, Information Technology or related field . Experience 6+ years of total work experience with 4+years of hands-on experience in Power BI development, Data Visualization, and SQL and hands-on experience working with Azure Data Platform (ADF, SQL, Data Lake). Technical Skills Strong experience with advanced DAX (Data Analysis Expressions) for calculations Strong experience with Custom visuals and drill-through reports Strong experience with Row-Level Security (RLS) and Object-Level Security (OLS) Strong experience with Star Schema Snowflake Schema for analytical reporting Strong experience with Fact and dimension table relationships Strong experience with Power Query (M Language) for data transformations Strong SQL expertise for data extraction and optimization Strong experience with Azure SQL Database, Azure Data Lake Strong experience with DirectQuery, Import Mode, and Hybrid Mode in Power BI Strong experience with integration with Azure Analysis Services (AAS) Strong experience with optimizing Power BI reports, DAX queries, and data models Strong experience with using aggregations, indexing, caching strategies Strong experience with Microsoft Purview for metadata lineage tracking Strong experience with data classification, sensitivity labels, and role-based access Soft Skills Strong problem-solving and analytical skills Excellent communication and stakeholder management skills Ability to collaborate with cross-functional teams. Nice to Have Microsoft Certified: Power BI Data Analyst Associate (PL-300) certification Microsoft Certified: Azure Data Engineer Associate (DP-203) certification Power BI Paginated Reports (Report Builder). Embedding Power BI reports in web applications. Using AI Machine Learning insights within Power BI.

As an SEO Specialist, you will actively contribute to meaningful projects, work closely with leadership, and gain significant experience in working directly with high-velocity growth teams and exciting real-world software engineering experience. What is in store for you? Join the Pioneers: Become an integral part of a company thats making waves by redefining the status quo. Get ready to be part of something truly remarkable Cutting-Edge Innovation: Dive into the world of cutting-edge technologies and products that are reshaping how the home services industry functions in the North American market. Youll be at the forefront of industry transformation SaaS Industry Impact: Play a pivotal role in making a significant impact in the multi-billion-dollar Software as a Service (SaaS) industry, contributing to its ongoing evolution Unlimited Growth Potential: Your journey with us promises continuous learning and immense personal and professional growth. Your horizons will expand far beyond your current limits Embrace Start-Up Culture: Experience a vibrant start-up culture that youll cherish throughout your career. Enjoy an atmosphere of innovation, agility, and collaboration that fuels your passion for work Job Responsibilities: Conducting keyword research to pinpoint valuable keywords and creating content strategies centered around them Conduct comprehensive site auditing and proactively identify on-page and technical SEO opportunities Enhancing search engine rankings by optimizing on-page elements such as website content and metadata Monitoring and evaluating website traffic and search engine rankings to identify opportunities for optimization and developing plans accordingly Developing and executing SEO and Content Strategies Working closely with content writers to optimize content Understanding of user intent and how to create content that meets it Managing and optimizing SEO tools like Google Analytics to track website performance and make informed decisions Working alongside the marketing team to create and execute content marketing campaigns Staying current with the latest SEO developments and algorithm updates, and applying them to enhance website performance Communicating SEO results and recommendations to the marketing team and other stakeholders Proven experience in ranking a website in the top 10 result Hands-on experience using tools like Semrush, ahrefs, Moz, clarity, etc. Understanding of HTML and CSS would be an add-on Job Requirements (Skills and Experience): A minimum of relevant 2 years of SEO experience, preferably in a SaaS/ B2B environment Educational Background: Graduated from a bachelors degree program Demonstrating a solid foundation in the principles of marketing A solid understanding of search engine algorithms and ranking elements Data-driven & super-analytical in prioritizing various traffic generation & branding activities Strong knowledge of SEO Tools (keyword tools, Google Analytics, Google Search Console, Semrush, Moz, Ahref, etc) Surfer SEO: for content optimization SEMrush: for SEO analysis and competitor research Google Analytics: for tracking and analyzing website traffic Google Search Console: for monitoring site performance and search queries Link Whisper: for internal linking and backlink management Fluency in SEO core elements including on-page and off-page tactics, site-navigation optimization, internal linking, URL structure, metadata, headers, page templates, XML sitemaps, canonical tags, structured data tags, etc Curious about delivering quality content, putting the user at the heart of the creation process Concept ideas that build awareness about our brands famous Worked with early-stage start-ups or SaaS companies in the past You have strong communication and articulation skills Can-do attitude or can hustle Proven time management skills, with an ability to effectively establish and execute priorities in a dynamic and changing environment A belief in taking end-to-end ownership of things Excellent attention to detail, accuracy, and quality