1440 Bi Jobs - Page 7

Job Summary: We are looking for a highly skilled Senior Data Engineer with expertise in Snowflake, DBT (Data Build Tool), and SAP Data Services (SAP DS). The ideal candidate will be responsible for building scalable data pipelines, designing robust data models, and ensuring high data quality across enterprise platforms. Key Responsibilities: Design, build, and optimize data pipelines and ETL/ELT workflows using Snowflake and DBT Integrate and manage data from various sources using SAP Data Services Develop and maintain scalable data models, data marts, and data warehouses Work closely with data analysts, business stakeholders, and BI teams to support reporting and analytics needs Implement best practices in data governance, data lineage, and metadata management Monitor data quality, troubleshoot issues, and ensure data integrity Optimize Snowflake data warehouse performance (partitioning, caching, query tuning) Automate data workflows and deploy DBT models with CI/CD tools (e.g., Git, Jenkins) Document architecture, data flows, and technical specifications

At EY, you'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'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's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services leveraging deep industry experience with strong functional and technical capabilities and product knowledge. EY's financial services practice offers integrated Consulting services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY's Consulting Practice, the Data and Analytics team solves big, complex issues and capitalizes on opportunities to deliver better working outcomes that help expand and safeguard businesses, now and in the future. This way, we help create a compelling business case for embedding the right analytical practice at the heart of clients" decision-making. We're looking for a candidate with 10-12 years of expertise in data science, data analysis, and visualization skills. Act as a Technical Lead to a larger team in EY GDS DnA team to work on various Data and Analytics projects. Your key responsibilities include: - Understanding of insurance domain knowledge (PnC or life or both) - Being responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL) - Overseeing and governing the expansion of existing data architecture and the optimization of data query performance via best practices - Working independently and collaboratively - Implementing business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning) - Working with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models - Defining and governing data modeling and design standards, tools, best practices, and related development for enterprise data models - Identifying the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization - Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC - Working proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Skills and attributes for success include: - Strong communication, presentation, and team-building skills - Experience in executing and managing research and analysis of companies and markets - BE/BTech/MCA/MBA with 8 - 12 years of industry experience with machine learning, visualization, data science, and related offerings - At least around 4-8 years of experience in BI and Analytics - Ability to do end-to-end data solutions from analysis, mapping, profiling, ETL architecture, and data modeling - Knowledge and experience of at least 1 Insurance domain engagement life or Property n Causality - Good experience using CA Erwin or other similar modeling tools - Strong knowledge of relational and dimensional data modeling concepts - Experience in data management analysis - Experience with unstructured data is an added advantage - Ability to effectively visualize and communicate analysis results - Experience with big data and cloud preferred - Experience, interest, and adaptability to working in an Agile delivery environment. Ideally, you'll also have: - Good exposure to any ETL tools - Good to have knowledge about P&C insurance - Must have led a team size of at least 4 members - Experience in Insurance and Banking domain - Prior client-facing skills, self-motivated, and collaborative. What we look for: A team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of a market-leading, multi-disciplinary team of 1400+ professionals, in the only integrated global transaction business worldwide Opportunities to work with EY Consulting practices globally with leading businesses across a range of industries. At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies - and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: - Support, coaching, and feedback from engaging colleagues - Opportunities to develop new skills and progress your career - The freedom and flexibility to handle your role in a way that's right for you. 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.,

Candidates should demonstrate capabilities of being Subject Matter Expert(SMEs) in their fields with capabilities spanning across multiple SaaS Modules/applications and hands-on abilities. You should have the capability to lead the team and possess a positive attitude, good communication skills, analytical skills, problem-solving skills, customer interfacing skills, and enthusiasm to learn new applications, solve complex problems, think up and deploy innovative solutions for CSS customers. You should be able to work on various assignments simultaneously. It is required to have real-time hands-on functional and Technical experience on a minimum of 3 ERP modules and worked on Implementation or L1/L2 level support. Technical Skills required include BI, OTBI, ADFDI/FBDI. The expected experience range is from 10 to 15 years in SaaS/Oracle Fusion Cloud. Prior EBS experience will also be a plus. Job role requires close interaction with customers across the globe. Working with Oracle Product support is also an advantage. You will interact with the project team members responsible for timely delivery and provide status and issue reports to the project manager/client on a regular basis. As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. Oracle has partnered with industry leaders in almost every sector and continues to thrive after 40+ years of change by operating with integrity. Innovation starts when everyone is empowered to contribute, which is why Oracle is committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. Competitive benefits based on parity and consistency are offered, supporting employees with flexible medical, life insurance, and retirement options. Employees are encouraged to give back to their communities through volunteer programs. People with disabilities are included at all stages of the employment process, and accessibility assistance or accommodation for a disability can be requested by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.,

At EY, you'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'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- Consulting Senior Data Analyst: The opportunity: We're looking for a data analyst with expertise in Data Analytics for our rapidly growing Internal Audit practice within EY GDS Consulting across multiple levels and locations. This is a fantastic opportunity to be part of a leading firm while being instrumental in the growth of a new service offering. There are exciting opportunities to build an enriching career! Come join us if you are interested in helping major global clients transform while recommending solutions to some of the most pressing business challenges and process inefficiencies. You should have strong analytical skills, with the ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand. If you are looking for a career opportunity in Gurgaon, this could be the right fit for you. Your key responsibilities: Preferred Qualifications: - Graduate/Postgraduate in Engineering/Statistics/Mathematics or any other quantitative field - Understand business requirements in a BI context and design data models to transform raw data into meaningful insights - 3+ years of work experience in Alteryx, SQL, and Tableau - Good to have skills in Power BI and Python You will utilize Alteryx to design and implement data workflows that prepare, cleanse, and transform data from various sources for analysis. Additionally, you will write and optimize complex SQL queries to extract, manipulate, and analyze data from relational databases, ensuring data integrity and performance. You will develop and maintain interactive dashboards and reports using Tableau, translating complex data sets into clear, actionable insights for stakeholders. Collaboration with business stakeholders to gather requirements, understand data needs, and translate them into effective analytical solutions is also a key responsibility. Furthermore, you will provide guidance and mentorship to junior analysts and team members, promoting best practices in data analysis, Alteryx, SQL, and Tableau. Monitoring and optimizing the performance of data workflows and Tableau dashboards to ensure efficient data processing and visualization is crucial. Self-motivation is essential with the ability to thrive in a dynamic team environment, work across organizational departments, and instill confidence with the client through work quality, time management, organizational skills, and responsiveness. You should demonstrate the ability to manage competing priorities while working collaboratively with customers and stakeholders. Strong communication skills are a must, with the ability to both formulate/understand the business problem at hand and discuss with non-data-science background stakeholders. Being comfortable dealing with ambiguity and competing objectives is expected. Client Management: - Understand the client's business & related industry issues/trends - Develop strong working relationships with the client and onshore client teams - Maintain excellent rapport and proactive communication with the client Market Leadership: - Participate/support business development initiatives - Support multiple innovation initiatives to enhance existing solutions leveraging technologies like PowerApps, Power Automate, Advanced Analytics - Support the practice in developing thought leadership content and other innovation initiatives from time to time Quality Delivery: - Independently execute assignments when required - Manage multiple assignments and related project teams - Meet quality guidelines within the established turnaround time (or allotted budget) for assigned requests - Constantly monitor project progress, manage risk, and keep key stakeholders informed about progress and expected outcomes - Demonstrate an application and solution-based approach to problem-solving while executing client engagements and documenting working papers - Anticipate and identify engagement-related risks and escalate issues as appropriate on a timely basis - Identify process gaps and provide recommendations in areas requiring improvement based on the client's business process and industry practice - Mentor and coach junior team members, enabling them to meet their performance goals and successfully grow their careers Operational: - Ensure compliance with risk management strategies, plans, and activities of the firm - Manage the engagement budgets and support superiors in developing marketing collaterals, business proposals, and new solution/methodology development - Support the engagement manager in planning and scheduling optimum staff levels for engagements Skills and attributes for success: - Exceptional command of spoken and written English - Globally mobile and flexible to travel to onsite locations - Highly analytical, organized, and meticulous consulting skills - Proficient in MS-Office Suite, data analysis, and validation - Team player with strong interpersonal skills - Ability to prioritize deliverables effectively to achieve optimum results Ideally, you'll also have strong project management skills, problem-solving skills, and the ability to think differently and innovate. What we look for: A team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. Opportunities to work with EY Enterprise Risk Analytics team with leading businesses across a range of industries. What working at EY offers: At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies - and the work we do with them is as varied as they are. You get to work on inspiring and meaningful projects. Our focus is on education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer support, coaching, and feedback from some of the most engaging colleagues around, opportunities to develop new skills and progress your career, and the freedom and flexibility to handle your role in a way that's right for you. 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.,

As a Technical Lead with over 8 years of experience in Data Engineering, Analytics, and Python development, including at least 3 years in a Technical Lead / Project Management role, you will play a crucial role in driving data engineering and analytics projects for our clients. Your client-facing skills will be essential in ensuring successful project delivery and effective communication between technical and business stakeholders. Your responsibilities will include designing and implementing secure, scalable data architectures on cloud platforms such as AWS, Azure, or GCP. You will lead the development of cloud-based data engineering solutions covering data ingestion, transformation, and storage while defining best practices for integrating diverse data sources securely. Overseeing security aspects of integrations and ensuring compliance with organizational and regulatory requirements will be part of your role. In addition, you will develop and manage robust ETL/ELT pipelines using Python, SQL, and modern orchestration tools, as well as integrate real-time streaming data using technologies like Apache Kafka, Spark Structured Streaming, or cloud-native services. Collaborating with data scientists to integrate AI models into production pipelines and cloud infrastructure will also be a key aspect of your responsibilities. Furthermore, you will work on advanced data analysis to generate actionable insights for business use cases, design intuitive Tableau dashboards and data visualizations, and define data quality checks and validation frameworks to ensure high-integrity data pipelines. Your expertise in REST API development, backend services, and integrating APIs securely will be crucial in developing and deploying data products and integrations. To excel in this role, you must have deep hands-on experience with cloud platforms, expertise in Python, SQL, Spark, Kafka, and streaming integration, proven ability with data warehousing solutions like BigQuery, Snowflake, and Redshift, and a strong understanding of integration security principles. Proficiency in data visualization with Tableau, REST API development, and AI/ML integration will also be essential. Preferred qualifications include prior experience managing enterprise-scale data engineering projects, familiarity with DevOps practices, and understanding of regulatory compliance requirements for data handling. Your ability to lead technical teams, ensure project delivery, and drive innovation in data engineering and analytics will be key to your success in this role.,

As an integral part of American Airlines Tech Hub in Hyderabad, India, you will have the opportunity to contribute to the innovative and tech-driven environment that shapes the future of travel. Your role will involve collaborating with source data application teams and product owners to develop and support analytics solutions that provide valuable insights for informed decision-making. By leveraging Azure products and services such as Azure Data Lake Storage, Azure Data Factory, and Azure Databricks, you will be responsible for implementing data migration and engineering solutions to enhance the airline's digital capabilities. Your responsibilities will encompass various aspects of the development lifecycle, including design, cloud engineering, data modeling, testing, performance tuning, and deployment. Working within a DevOps team, you will have the chance to take ownership of your product and contribute to the development of batch and streaming data pipelines using cloud technologies. Adherence to coding standards, best practices, and security guidelines will be crucial as you collaborate with a multidisciplinary team to deliver technical solutions effectively. To excel in this role, you should have a Bachelor's degree in a relevant technical discipline or equivalent experience, along with a minimum of 1 year of software solution development experience using agile methodologies. Proficiency in SQL for data analytics and prior experience with cloud development, particularly in Microsoft Azure, will be advantageous. Preferred qualifications include additional years of software development and data analytics experience, as well as familiarity with tools such as Azure EventHub, Azure Power BI, and Teradata Vantage. Your success in this position will be further enhanced by expertise in the Azure Technology stack, practical knowledge of Azure cloud services, and relevant certifications such as Azure Development Track and Spark Certification. A combination of development, administration, and support experience in various tools and platforms, including scripting languages, data platforms, and BI analytics tools, will be beneficial for your role in driving data management and governance initiatives within the organization. Effective communication skills, both verbal and written, will be essential for engaging with stakeholders across different levels of the organization. Additionally, your physical abilities should enable you to perform the essential functions of the role safely and successfully, with or without reasonable accommodations as required by law. At American Airlines, diversity and inclusion are integral to our workforce, fostering an inclusive environment where employees can thrive and contribute to the airline's success. Join us at American Airlines and embark on a journey where your technical expertise and innovative spirit will play a pivotal role in shaping the future of travel. Feel free to be yourself as you contribute to the seamless operation of the world's largest airline, caring for people on life's journey.,

As the Lead - Web Analytics at ABFRL, you will play a crucial role in leading the web analytics team and site optimization to enhance conversions and drive digital commerce growth. ABFRL, a pioneer in branded apparel in India, is transitioning towards a more robust digital commerce strategy, and your contribution will be instrumental in achieving this objective. You will be tasked with overseeing a wide array of digital commerce platforms including websites, apps, kiosks, and chatbots. Your responsibilities will include implementing and maintaining analytics tools, measuring the performance of ABFRL platforms, and identifying areas for enhancement. Additionally, you will lead the AB testing software initiatives and ensure the successful rollout of these tests across various brands within the organization. A significant aspect of your role will involve managing Business Intelligence (BI) and Management Information Systems (MIS) for Pantaloons. Given Pantaloons" advanced utilization of technology for BI and MIS, characterized by large and complex systems, you will be pivotal in ensuring the timely delivery of high-quality data for reporting purposes. The critical nature of the BI and MIS systems at Pantaloons underscores the importance of your role in meeting the informational needs of business leaders within the organization. Key Accountabilities include: - Stakeholder Management: Engage with senior managers and leadership, establish review meetings, and solicit feedback. - Requirements Gathering: Collaborate with business users to articulate Business Requirement Documents (BRD) and translate them into technical specifications. - Software Development and Delivery: Partner with IT and Data Teams to plan, develop, test, and deliver software solutions to business users, overseeing User Acceptance Testing (UAT) and deployment. - Project and Program Management: Control project activities, manage resources and budgets, establish project plans, monitor escalations, and oversee multiple projects as part of program management. - Driving Adoption among Businesses: Conduct user training sessions, promote adoption initiatives, track usage metrics, establish communication protocols, and drive continuous improvements. - Contract Management and Execution: Lead the process of vendor selection, resource selection, and onboarding to support project requirements effectively. In summary, your role as the Lead - Web Analytics at ABFRL is pivotal in driving digital commerce growth, optimizing site performance, and ensuring the effective management of BI and MIS systems for Pantaloons. Your proactive approach in stakeholder engagement, requirements gathering, software development, project management, adoption initiatives, and contract execution will be crucial in achieving the organization's strategic objectives.,

Shape the Future of Data Analytics at FabricAir At FabricAir, we design and deliver innovative textile-based air distribution solutions to customers in over 100 countries As we accelerate our digital transformation, we are seeking a Business Intelligence Developer skilled in Power BI to elevate our data analytics capabilities and support data-driven decision-making across our international operations Join our expanding Business & IT Solutions team and work closely with cross-functional departments worldwide to unlock the value of our business data You will play an essential role in guiding the company through data visualisation, dashboard creation, and advanced analytics projects that have real business impact Key Responsibilities Power BI Developer for Global Manufacturing Data Design, build and maintain Power BI datasets, dashboards and paginated reports that serve Sales, Finance, Operations and Marketing Own the Power BI architecture roadmap: drive workspace topology, shared/certified datasets, deployment pipelines and capacity planning so dashboards scale cleanly across teams Partner with Data Engineering to validate pipeline outputs, define data contracts and ensure trusted, well-documented sources Optimise dataset refresh schedules, incremental loading, partitioning, and advanced RLS/OLS to keep enterprise dashboards fast, secure and consistent Gather requirements, prototype quickly, iterate to production with Git-based CI/CD, and maintain clear documentation Monitor usage & performance metrics; apply forecasting, anomaly detection and AI-augmented insights where they add value Champion BI standards, governance and self-service analytics across the organisation?running demos, brown-bags, and code review Who You Are Data Enthusiast with an Analytical Mindset We are looking for a detail-oriented, proactive professional with a passion for business intelligence and data analytics You have a collaborative approach and are eager to drive business value through data-driven solutions Your curiosity, problem-solving skills, and structured thinking help you deliver impactful reports and actionable insights 5 + years building enterprise-grade Power BI solutions, including: end-to-end development in Power BI Desktop & Service advanced DAX / Tabular Editor optimisation deployment pipelines, workspaces, gateways & capacity management dataflows / Fabric Lakehouse connections, incremental refresh, RLS/OLS Architect-level vision for BI platform design: shared semantic models, certified datasets, workspace strategy, version control (Git), and governance that scales to multiple departments Strong SQL for slicing, optimisation and troubleshooting across cloud/on-prem sources Proven ability to translate business questions into scalable BI architecture, automated datasets, and actionable dashboards Excellent communication in a global, cross-functional setting; proactive, detail-oriented, and comfortable leading best-practice workshops Desirable Skills Added Advantage in Power BI and Analytics Experience with dbt, Great Expectations or similar frameworks for data-quality validation Familiarity with Microsoft Fabric (OneLake, Real-Time Intelligence) or other lake-house architectures Prior work in industrial / manufacturing domains Experience with AI tools used for data analysis What We Offer Professional Growth at FabricAir Become part of a global company with a mission to innovate and deliver best-in-class solutions At FabricAir, youll thrive in an environment that champions teamwork, continuous learning, and the use of modern technologies We offer responsibility, flexibility, and a unique chance to influence our digital and data landscape while working with friendly, skilled colleagues from around the world About FabricAir With headquarters in Denmark and operations in 16 countries, FabricAir develops leading textile-based air distribution systems for diverse industries?from food production and retail to cleanrooms and sports facilities Were committed to performance, energy efficiency, and empowering our people to make a difference For more on our solutions and culture: fabricair, Ready to Apply If this sounds like your next career move, please apply via the ?Apply for this job? button For data privacy reasons, this is our preferred application method If you have any questions, you are welcome to reach out to our Software Development Team Lead, Avinash Pawar, at apa@fabricair, We are reviewing applications on a rolling basis and look forward to connecting with you! FabricAir is a global fabric-based air distribution solution manufacturer that originated in Denmark in 1973 Our company has been evolving ever since, opening 16 subsidiaries worldwide with a vast network of distributors and reaching clients in over 120 countries We value our employees because they are the reason we excel in our industry and contribute to the growth of the company

Job Summary: We are looking for a highly skilled Senior Data Engineer with expertise in Snowflake, DBT (Data Build Tool), and SAP Data Services (SAP DS). The ideal candidate will be responsible for building scalable data pipelines, designing robust data models, and ensuring high data quality across enterprise platforms. Key Responsibilities: Design, build, and optimize data pipelines and ETL/ELT workflows using Snowflake and DBT Integrate and manage data from various sources using SAP Data Services Develop and maintain scalable data models, data marts, and data warehouses Work closely with data analysts, business stakeholders, and BI teams to support reporting and analytics needs Implement best practices in data governance, data lineage, and metadata management Monitor data quality, troubleshoot issues, and ensure data integrity Optimize Snowflake data warehouse performance (partitioning, caching, query tuning) Automate data workflows and deploy DBT models with CI/CD tools (e.g., Git, Jenkins) Document architecture, data flows, and technical specifications

Job Summary: We are looking for a highly skilled Senior Data Engineer with expertise in Snowflake, DBT (Data Build Tool), and SAP Data Services (SAP DS). The ideal candidate will be responsible for building scalable data pipelines, designing robust data models, and ensuring high data quality across enterprise platforms. Key Responsibilities: Design, build, and optimize data pipelines and ETL/ELT workflows using Snowflake and DBT Integrate and manage data from various sources using SAP Data Services Develop and maintain scalable data models, data marts, and data warehouses Work closely with data analysts, business stakeholders, and BI teams to support reporting and analytics needs Implement best practices in data governance, data lineage, and metadata management Monitor data quality, troubleshoot issues, and ensure data integrity Optimize Snowflake data warehouse performance (partitioning, caching, query tuning) Automate data workflows and deploy DBT models with CI/CD tools (e.g., Git, Jenkins) Document architecture, data flows, and technical specifications

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days