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5.0 years

10 - 15 Lacs

Gurgaon

On-site

Job Role: ETL SSIS+SSAS Job Location: Gurugram Interview: 1 Internal technical Round|| PM Round ||Client Interview (Candidate should be ready for F2F) Experience Range- 5-8 Year Job Description: · Microsoft SQL · Microsoft SSIS, SSAS · Data warehouse/Data Migration · Experience in Analytics / OLAP Cube Development (Microsoft SSAS and MDX). · Analyze, design, build, query, troubleshoot and maintain cubes. · Knowledge/expertise in SSAS Tabular with DAX language, Proficient in MDX and DAX · Strong conceptual knowledge of ETL fundamentals · Exposure to the following will be beneficial. Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,500,000.00 per year Schedule: Day shift Work Location: In person

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0 years

2 - 2 Lacs

Chennai

On-site

JD for the MDx - P1 position – Molecular Junior Molecular Biologist Main responsibilities Documentations of MDx lab from receipt to processing. This includes excels for sample receipt at MDx, sample comments, preliminary processing observations etc Assist with tracking DNA (storage) and help in timely retrieval of the same as per client’s request. Document the retrieval appropriately Assist with preanalytical steps such as sample inspection and comment documentation, TRFs scanning + copying. Conduct DNA extraction from different types of samples Perform sample dissection – applicable for chorionic villi and other tissue sample types Carry out Quantification of DNA as needed Agarose gel electrophoresis Assist and later carry out other molecular tests – PCR test, QFPCR, MCC, NGS library preparation Assist in tracking and maintaining molecular lab inventory (consumables and kits) Learn and assist in conduct of other new tests. Independently conduct new tests as required Assist with validation of different new tests as needed Assist and conduct SOPs drafting and proofreading. Any other work allotted by the manager and Lab Director from time-to-time Assist and cross-train in other departments such as molecular laboratory tests or biochemical genetic screening tests as required REQUIRED COMPETENCE Education - Preferred: M.Sc. Genetics/ Molecular Biology; Biotechnology; other related life sciences or Biology/ Biotechnology with at least basic knowledge of laboratory work. Bachelor's degree in relevant field- biotechnology, genetics may be considered contingent on non availability of preferred degree candidates and based on urgency Required work experience related to position – Any prior molecular biology experience will be an advantage. Special requirements / Skills / Attributes DNA Isolation DNA quantification Agarose gel electrophoresis Handling Biological Samples PCR Good Laboratory Practice Additional Skills: Cell / Tissue Culture Microsoft Office 2010 Quality control in biological assays Validating biological assays Soft Skill: Good Communication. Motivation to work hard and if needed extra hours as well. Motivation to learn new skills. Competency Required Strategic Perspective: Successfully complete individual goals set as part of the Goal Setting process Ensure the preliminary process – DNA isolation- is always completed in a timely and quality manner to ensure sample success within proposed TAT. Market Focus Ensures quality is always given priority and maintained at the high standards of the company Leadership: Takes charge of trainees, new staff, and ensures all documentation and preliminary processes are completed Takes initiative to increase personal effectiveness and performance Participate in discussions pertaining to new tests Present views and suggestions for new tests and process improvement of existing tests

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5.0 years

0 Lacs

Bengaluru, Karnataka, India

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Job Title : O9 Solutions Consultant Location : PAN India Experience : 5 Years - 10 Years Notice Period : Immediate Joiners to 30 Days ( Not considering the candidate's with 60 Days and 90 Days NP ) Desired Skills : ✅ 5+ years of experience on SCM ✅ 2+ years of experience on O9 ✅ Hands-on expertise in Supply Planning and o9 Supply Chain Solver is a must ! Job Description : Demonstrate thorough knowledge of industry best practices, business process, o9’s solutions, technical architecture and value proposition. Lead the complete lifecycle of a project from design to delivery of o9’s solutions to customers across industries and geographies. Understanding of our customer’s requirements by leading workshops with functional and business owners of the processes and documenting it. Effectively map the business requirements into o9’s platform and come up with a clear, phased achievable blueprint. Work with a team of experts to configure, solution as per the design to solve deep operations / supply chain problems and institute rigorous performance monitoring process. Work with the customer to resolve issues and coordinate defect tracking, analysis and resolution process Plan, develop and deliver Super User and End User training, for a global user base. Actively help in improving internal processes and product features based on customer feedback by interfacing with the development and operations teams Support customer demonstrations Be a mentor and guide to junior members What you should possess: At least 5 years of experience with implementing Demand planning applications is a MUST Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable Understand concepts of history cleansing, customer segmentation, statistical forecast algorithms and their uses, forecast errors, consensus planning and S&OP process. Deep understanding of supply chain planning concepts including Demand Management, Distribution Planning, Master Planning and S&OP. Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is desirable Proficient in the use of Microsoft Excel/PowerPoint for analysis and presentation Strong ability to lead by example and demonstrate proficiency in both product and domain. Patient listener with the ability clearly articulate your view point to manage and deliver to customer expectations, even under pressure Ability to analyze and process large amounts of data and complement it with intuition to prioritize and focus on the highest value opportunities or the biggest risks is key. Interested candidate can share me your profile to the below mail Id : harsha.kulkarni@cogniznat.com Show more Show less

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3.0 years

0 Lacs

Hyderabad, Telangana, India

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Description Are you passionate about data? Does the prospect of dealing with massive volumes of data excite you? Do you want to build data engineering solutions that process billions of records a day in a scalable fashion using AWS technologies? Do you want to create the next-generation tools for intuitive data access? If so, Amazon Finance Technology (FinTech) is for you! FinTech is seeking a Data Engineer to join the team that is shaping the future of the finance data platform. The team is committed to building the next generation big data platform that will be one of the world's largest finance data warehouse to support Amazon's rapidly growing and dynamic businesses, and use it to deliver the BI applications which will have an immediate influence on day-to-day decision making. Amazon has culture of data-driven decision-making, and demands data that is timely, accurate, and actionable. Our platform serves Amazon's finance, tax and accounting functions across the globe. As a Data Engineer, you should be an expert with data warehousing technical components (e.g. Data Modeling, ETL and Reporting), infrastructure (e.g. hardware and software) and their integration. You should have deep understanding of the architecture for enterprise level data warehouse solutions using multiple platforms (RDBMS, Columnar, Cloud). You should be an expert in the design, creation, management, and business use of large data-sets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. The candidate is expected to be able to build efficient, flexible, extensible, and scalable ETL and reporting solutions. You should be enthusiastic about learning new technologies and be able to implement solutions using them to provide new functionality to the users or to scale the existing platform. Excellent written and verbal communication skills are required as the person will work very closely with diverse teams. Having strong analytical skills is a plus. Above all, you should be passionate about working with huge data sets and someone who loves to bring data-sets together to answer business questions and drive change. Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is a passionate about data and analytics. In this role you will be part of a team of engineers to create world's largest financial data warehouses and BI tools for Amazon's expanding global footprint. Key job responsibilities Design, implement, and support a platform providing secured access to large datasets. Interface with tax, finance and accounting customers, gathering requirements and delivering complete BI solutions. Model data and metadata to support ad-hoc and pre-built reporting. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Tune application and query performance using profiling tools and SQL. Analyze and solve problems at their root, stepping back to understand the broader context. Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use. Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets. Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment. Basic Qualifications - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project - Bachelor's degree, or Master's degree Preferred Qualifications 5+ years of data engineering experience Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - Amazon Dev Center India - Hyderabad Job ID: A2953275 Show more Show less

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2.0 years

5 - 9 Lacs

Coimbatore

On-site

Transforming the Future of Enterprise Planning At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions—even billions—in value leakage, we help businesses plan smarter and faster. This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet. Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains. Be part of something revolutionary At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too. We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet. What you’ll do for us… Demonstrate thorough knowledge of industry best practices, business processes, o9’s solutions, technical architecture, and value proposition. Responsible for solution usability and uptime by resolving any customer issues in a timely fashion, ensuring accuracy of data loads and validating the e2e workflows. Identify any design issues in the existing setup and co-ordinate with other o9 consultants to solve the business problem. Be the single point of contact for any platform level upgrade/patch/hot fix. Configure the o9 platform based on the change requests/enhancements post go-live and deliver them to solve deep operations / supply chain problems. Create and execute workflow and data analytics test-cases. Work on bugs/issues and track progress at resolving issues using support tool. Support Super User and End User training, for a global user base. Actively help in improving internal processes and product features based on customer feedback by interfacing with the development and operations teams. What you’ll have… Experience: 2+ years of experience with implementing planning applications is a MUST. Education: Btech/BE/MCA/Mtech Languages: SQL, MDX, T-SQL or similar; Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable. Skills: Deep understanding of supply chain planning concepts including Demand Management, Distribution Planning, Master Planning and S&OP. Characteristics: Strong ability to lead by example and demonstrate proficiency in both product and domain. Patient listener with the ability to clearly articulate your view point to manage and deliver to customer expectations, even under pressure. Ability to analyze and process large amounts of data and complement it with intuition to prioritize and focus on the highest value opportunities or the biggest risks is key. We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function. What we’ll do for you… Competitive salary and benefits. High growth organization - very strong entrepreneurial culture and no corporate politics Support network: Work with a team you can learn from and every day. Diversity: We pride ourselves on our international working environment Social: Fun after-work activities like Friday Socials. If you’re in the office, feel free to join these events in person. Food and drink: Enjoy healthy snacks, fresh fruit, teas and coffees on us. Work Life Balance: https://youtu.be/IHSZeUPATBA?feature=shared Feel part of A team: https://youtu.be/QbjtgaCyhes?feature=shared More about o9…. o9 Solutions is one of the fastest-growing enterprise SaaS companies in the world today. As per the last public disclosure, o9 was valued at approximately $3.7B. Our mission is to digitally transform planning and decision-making for small and large enterprises. We have a high-energy, values driven, people centric culture that focuses on being the most valuable partner to our clients. Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, NIKE, Walmart, AB-InBev, Starbucks, Danone, Caterpillar, Toyota and many others. Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Bangalore, Tokyo, Seoul, and Sao Paulo. o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, color, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law More about us… At o9, transparency and open communication are at the core of our culture. Collaboration thrives across all levels—hierarchy, distance, or function never limit innovation or teamwork. Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations. With a $3.7 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world. Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making. Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility. By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value. o9 is an equal-opportunity employer that values diversity and inclusion. We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process. Join us as we continue our growth journey!

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8.0 years

0 Lacs

Greater Kolkata Area

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Location: PAN India Duration: 6 Months Experience Required: 7–8 years Job Summary We are looking for an experienced SSAS Developer with strong expertise in developing both OLAP and Tabular models using SQL Server Analysis Services (SSAS), alongside advanced ETL development skills using tools like SSIS, Informatica, or Azure Data Factory . The ideal candidate will be well-versed in T-SQL , dimensional modeling, and building high-performance, scalable data solutions. Key Responsibilities Design, build, and maintain SSAS OLAP cubes and Tabular models Create complex DAX and MDX queries for analytical use cases Develop robust ETL workflows and pipelines using SSIS, Informatica, or ADF Collaborate with cross-functional teams to translate business requirements into BI solutions Optimize SSAS models for scalability and performance Implement best practices in data modeling, version control, and deployment automation Support dashboarding and reporting needs via Power BI, Excel, or Tableau Maintain and troubleshoot data quality, performance, and integration issues Must-Have Skills Hands-on experience with SSAS (Tabular & Multidimensional) Proficient in DAX, MDX, and T-SQL Advanced ETL skills using SSIS / Informatica / Azure Data Factory Knowledge of dimensional modeling (star & snowflake schema) Experience with Azure SQL / MS SQL Server Familiarity with Git and CI/CD pipelines Nice to Have Exposure to cloud data platforms (Azure Synapse, Snowflake, AWS Redshift) Working knowledge of Power BI or similar BI tools Understanding of Agile/Scrum methodology Bachelor's degree in Computer Science, Information Systems, or equivalent Show more Show less

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8.0 years

0 Lacs

Greater Kolkata Area

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Location: PAN India Duration: 6 Months Experience Required: 7–8 years Job Summary We are looking for an experienced SSAS Developer with strong expertise in developing both OLAP and Tabular models using SQL Server Analysis Services (SSAS), alongside advanced ETL development skills using tools like SSIS, Informatica, or Azure Data Factory . The ideal candidate will be well-versed in T-SQL , dimensional modeling, and building high-performance, scalable data solutions. Key Responsibilities Design, build, and maintain SSAS OLAP cubes and Tabular models Create complex DAX and MDX queries for analytical use cases Develop robust ETL workflows and pipelines using SSIS, Informatica, or ADF Collaborate with cross-functional teams to translate business requirements into BI solutions Optimize SSAS models for scalability and performance Implement best practices in data modeling, version control, and deployment automation Support dashboarding and reporting needs via Power BI, Excel, or Tableau Maintain and troubleshoot data quality, performance, and integration issues Must-Have Skills Hands-on experience with SSAS (Tabular & Multidimensional) Proficient in DAX, MDX, and T-SQL Advanced ETL skills using SSIS / Informatica / Azure Data Factory Knowledge of dimensional modeling (star & snowflake schema) Experience with Azure SQL / MS SQL Server Familiarity with Git and CI/CD pipelines Nice to Have Exposure to cloud data platforms (Azure Synapse, Snowflake, AWS Redshift) Working knowledge of Power BI or similar BI tools Understanding of Agile/Scrum methodology Bachelor's degree in Computer Science, Information Systems, or equivalent Show more Show less

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8.0 years

0 Lacs

Greater Kolkata Area

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Location: PAN India Duration: 6 Months Experience Required: 7–8 years Job Summary We are looking for an experienced SSAS Developer with strong expertise in developing both OLAP and Tabular models using SQL Server Analysis Services (SSAS), alongside advanced ETL development skills using tools like SSIS, Informatica, or Azure Data Factory . The ideal candidate will be well-versed in T-SQL , dimensional modeling, and building high-performance, scalable data solutions. Key Responsibilities Design, build, and maintain SSAS OLAP cubes and Tabular models Create complex DAX and MDX queries for analytical use cases Develop robust ETL workflows and pipelines using SSIS, Informatica, or ADF Collaborate with cross-functional teams to translate business requirements into BI solutions Optimize SSAS models for scalability and performance Implement best practices in data modeling, version control, and deployment automation Support dashboarding and reporting needs via Power BI, Excel, or Tableau Maintain and troubleshoot data quality, performance, and integration issues Must-Have Skills Hands-on experience with SSAS (Tabular & Multidimensional) Proficient in DAX, MDX, and T-SQL Advanced ETL skills using SSIS / Informatica / Azure Data Factory Knowledge of dimensional modeling (star & snowflake schema) Experience with Azure SQL / MS SQL Server Familiarity with Git and CI/CD pipelines Nice to Have Exposure to cloud data platforms (Azure Synapse, Snowflake, AWS Redshift) Working knowledge of Power BI or similar BI tools Understanding of Agile/Scrum methodology Bachelor's degree in Computer Science, Information Systems, or equivalent Show more Show less

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8.0 years

0 Lacs

Greater Kolkata Area

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Location: PAN India Duration: 6 Months Experience Required: 7–8 years Job Summary We are looking for an experienced SSAS Developer with strong expertise in developing both OLAP and Tabular models using SQL Server Analysis Services (SSAS), alongside advanced ETL development skills using tools like SSIS, Informatica, or Azure Data Factory . The ideal candidate will be well-versed in T-SQL , dimensional modeling, and building high-performance, scalable data solutions. Key Responsibilities Design, build, and maintain SSAS OLAP cubes and Tabular models Create complex DAX and MDX queries for analytical use cases Develop robust ETL workflows and pipelines using SSIS, Informatica, or ADF Collaborate with cross-functional teams to translate business requirements into BI solutions Optimize SSAS models for scalability and performance Implement best practices in data modeling, version control, and deployment automation Support dashboarding and reporting needs via Power BI, Excel, or Tableau Maintain and troubleshoot data quality, performance, and integration issues Must-Have Skills Hands-on experience with SSAS (Tabular & Multidimensional) Proficient in DAX, MDX, and T-SQL Advanced ETL skills using SSIS / Informatica / Azure Data Factory Knowledge of dimensional modeling (star & snowflake schema) Experience with Azure SQL / MS SQL Server Familiarity with Git and CI/CD pipelines Nice to Have Exposure to cloud data platforms (Azure Synapse, Snowflake, AWS Redshift) Working knowledge of Power BI or similar BI tools Understanding of Agile/Scrum methodology Bachelor's degree in Computer Science, Information Systems, or equivalent Show more Show less

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8.0 years

0 Lacs

Greater Kolkata Area

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Location: PAN India Duration: 6 Months Experience Required: 7–8 years Job Summary We are looking for an experienced SSAS Developer with strong expertise in developing both OLAP and Tabular models using SQL Server Analysis Services (SSAS), alongside advanced ETL development skills using tools like SSIS, Informatica, or Azure Data Factory . The ideal candidate will be well-versed in T-SQL , dimensional modeling, and building high-performance, scalable data solutions. Key Responsibilities Design, build, and maintain SSAS OLAP cubes and Tabular models Create complex DAX and MDX queries for analytical use cases Develop robust ETL workflows and pipelines using SSIS, Informatica, or ADF Collaborate with cross-functional teams to translate business requirements into BI solutions Optimize SSAS models for scalability and performance Implement best practices in data modeling, version control, and deployment automation Support dashboarding and reporting needs via Power BI, Excel, or Tableau Maintain and troubleshoot data quality, performance, and integration issues Must-Have Skills Hands-on experience with SSAS (Tabular & Multidimensional) Proficient in DAX, MDX, and T-SQL Advanced ETL skills using SSIS / Informatica / Azure Data Factory Knowledge of dimensional modeling (star & snowflake schema) Experience with Azure SQL / MS SQL Server Familiarity with Git and CI/CD pipelines Nice to Have Exposure to cloud data platforms (Azure Synapse, Snowflake, AWS Redshift) Working knowledge of Power BI or similar BI tools Understanding of Agile/Scrum methodology Bachelor's degree in Computer Science, Information Systems, or equivalent Show more Show less

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8.0 years

0 Lacs

Greater Kolkata Area

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Location: PAN India Duration: 6 Months Experience Required: 7–8 years Job Summary We are looking for an experienced SSAS Developer with strong expertise in developing both OLAP and Tabular models using SQL Server Analysis Services (SSAS), alongside advanced ETL development skills using tools like SSIS, Informatica, or Azure Data Factory . The ideal candidate will be well-versed in T-SQL , dimensional modeling, and building high-performance, scalable data solutions. Key Responsibilities Design, build, and maintain SSAS OLAP cubes and Tabular models Create complex DAX and MDX queries for analytical use cases Develop robust ETL workflows and pipelines using SSIS, Informatica, or ADF Collaborate with cross-functional teams to translate business requirements into BI solutions Optimize SSAS models for scalability and performance Implement best practices in data modeling, version control, and deployment automation Support dashboarding and reporting needs via Power BI, Excel, or Tableau Maintain and troubleshoot data quality, performance, and integration issues Must-Have Skills Hands-on experience with SSAS (Tabular & Multidimensional) Proficient in DAX, MDX, and T-SQL Advanced ETL skills using SSIS / Informatica / Azure Data Factory Knowledge of dimensional modeling (star & snowflake schema) Experience with Azure SQL / MS SQL Server Familiarity with Git and CI/CD pipelines Nice to Have Exposure to cloud data platforms (Azure Synapse, Snowflake, AWS Redshift) Working knowledge of Power BI or similar BI tools Understanding of Agile/Scrum methodology Bachelor's degree in Computer Science, Information Systems, or equivalent Show more Show less

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8.0 years

0 Lacs

Greater Kolkata Area

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Location: PAN India Duration: 6 Months Experience Required: 7–8 years Job Summary We are looking for an experienced SSAS Developer with strong expertise in developing both OLAP and Tabular models using SQL Server Analysis Services (SSAS), alongside advanced ETL development skills using tools like SSIS, Informatica, or Azure Data Factory . The ideal candidate will be well-versed in T-SQL , dimensional modeling, and building high-performance, scalable data solutions. Key Responsibilities Design, build, and maintain SSAS OLAP cubes and Tabular models Create complex DAX and MDX queries for analytical use cases Develop robust ETL workflows and pipelines using SSIS, Informatica, or ADF Collaborate with cross-functional teams to translate business requirements into BI solutions Optimize SSAS models for scalability and performance Implement best practices in data modeling, version control, and deployment automation Support dashboarding and reporting needs via Power BI, Excel, or Tableau Maintain and troubleshoot data quality, performance, and integration issues Must-Have Skills Hands-on experience with SSAS (Tabular & Multidimensional) Proficient in DAX, MDX, and T-SQL Advanced ETL skills using SSIS / Informatica / Azure Data Factory Knowledge of dimensional modeling (star & snowflake schema) Experience with Azure SQL / MS SQL Server Familiarity with Git and CI/CD pipelines Nice to Have Exposure to cloud data platforms (Azure Synapse, Snowflake, AWS Redshift) Working knowledge of Power BI or similar BI tools Understanding of Agile/Scrum methodology Bachelor's degree in Computer Science, Information Systems, or equivalent Show more Show less

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8.0 years

0 Lacs

Greater Kolkata Area

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Location: PAN India Duration: 6 Months Experience Required: 7–8 years Job Summary We are looking for an experienced SSAS Developer with strong expertise in developing both OLAP and Tabular models using SQL Server Analysis Services (SSAS), alongside advanced ETL development skills using tools like SSIS, Informatica, or Azure Data Factory . The ideal candidate will be well-versed in T-SQL , dimensional modeling, and building high-performance, scalable data solutions. Key Responsibilities Design, build, and maintain SSAS OLAP cubes and Tabular models Create complex DAX and MDX queries for analytical use cases Develop robust ETL workflows and pipelines using SSIS, Informatica, or ADF Collaborate with cross-functional teams to translate business requirements into BI solutions Optimize SSAS models for scalability and performance Implement best practices in data modeling, version control, and deployment automation Support dashboarding and reporting needs via Power BI, Excel, or Tableau Maintain and troubleshoot data quality, performance, and integration issues Must-Have Skills Hands-on experience with SSAS (Tabular & Multidimensional) Proficient in DAX, MDX, and T-SQL Advanced ETL skills using SSIS / Informatica / Azure Data Factory Knowledge of dimensional modeling (star & snowflake schema) Experience with Azure SQL / MS SQL Server Familiarity with Git and CI/CD pipelines Nice to Have Exposure to cloud data platforms (Azure Synapse, Snowflake, AWS Redshift) Working knowledge of Power BI or similar BI tools Understanding of Agile/Scrum methodology Bachelor's degree in Computer Science, Information Systems, or equivalent Show more Show less

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8.0 years

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Greater Kolkata Area

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Location: PAN India Duration: 6 Months Experience Required: 7–8 years Job Summary We are looking for an experienced SSAS Developer with strong expertise in developing both OLAP and Tabular models using SQL Server Analysis Services (SSAS), alongside advanced ETL development skills using tools like SSIS, Informatica, or Azure Data Factory . The ideal candidate will be well-versed in T-SQL , dimensional modeling, and building high-performance, scalable data solutions. Key Responsibilities Design, build, and maintain SSAS OLAP cubes and Tabular models Create complex DAX and MDX queries for analytical use cases Develop robust ETL workflows and pipelines using SSIS, Informatica, or ADF Collaborate with cross-functional teams to translate business requirements into BI solutions Optimize SSAS models for scalability and performance Implement best practices in data modeling, version control, and deployment automation Support dashboarding and reporting needs via Power BI, Excel, or Tableau Maintain and troubleshoot data quality, performance, and integration issues Must-Have Skills Hands-on experience with SSAS (Tabular & Multidimensional) Proficient in DAX, MDX, and T-SQL Advanced ETL skills using SSIS / Informatica / Azure Data Factory Knowledge of dimensional modeling (star & snowflake schema) Experience with Azure SQL / MS SQL Server Familiarity with Git and CI/CD pipelines Nice to Have Exposure to cloud data platforms (Azure Synapse, Snowflake, AWS Redshift) Working knowledge of Power BI or similar BI tools Understanding of Agile/Scrum methodology Bachelor's degree in Computer Science, Information Systems, or equivalent Show more Show less

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8.0 years

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Greater Kolkata Area

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Location: PAN India Duration: 6 Months Experience Required: 7–8 years Job Summary We are looking for an experienced SSAS Developer with strong expertise in developing both OLAP and Tabular models using SQL Server Analysis Services (SSAS), alongside advanced ETL development skills using tools like SSIS, Informatica, or Azure Data Factory . The ideal candidate will be well-versed in T-SQL , dimensional modeling, and building high-performance, scalable data solutions. Key Responsibilities Design, build, and maintain SSAS OLAP cubes and Tabular models Create complex DAX and MDX queries for analytical use cases Develop robust ETL workflows and pipelines using SSIS, Informatica, or ADF Collaborate with cross-functional teams to translate business requirements into BI solutions Optimize SSAS models for scalability and performance Implement best practices in data modeling, version control, and deployment automation Support dashboarding and reporting needs via Power BI, Excel, or Tableau Maintain and troubleshoot data quality, performance, and integration issues Must-Have Skills Hands-on experience with SSAS (Tabular & Multidimensional) Proficient in DAX, MDX, and T-SQL Advanced ETL skills using SSIS / Informatica / Azure Data Factory Knowledge of dimensional modeling (star & snowflake schema) Experience with Azure SQL / MS SQL Server Familiarity with Git and CI/CD pipelines Nice to Have Exposure to cloud data platforms (Azure Synapse, Snowflake, AWS Redshift) Working knowledge of Power BI or similar BI tools Understanding of Agile/Scrum methodology Bachelor's degree in Computer Science, Information Systems, or equivalent Show more Show less

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8.0 years

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Greater Kolkata Area

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Location: PAN India Duration: 6 Months Experience Required: 7–8 years Job Summary We are looking for an experienced SSAS Developer with strong expertise in developing both OLAP and Tabular models using SQL Server Analysis Services (SSAS), alongside advanced ETL development skills using tools like SSIS, Informatica, or Azure Data Factory . The ideal candidate will be well-versed in T-SQL , dimensional modeling, and building high-performance, scalable data solutions. Key Responsibilities Design, build, and maintain SSAS OLAP cubes and Tabular models Create complex DAX and MDX queries for analytical use cases Develop robust ETL workflows and pipelines using SSIS, Informatica, or ADF Collaborate with cross-functional teams to translate business requirements into BI solutions Optimize SSAS models for scalability and performance Implement best practices in data modeling, version control, and deployment automation Support dashboarding and reporting needs via Power BI, Excel, or Tableau Maintain and troubleshoot data quality, performance, and integration issues Must-Have Skills Hands-on experience with SSAS (Tabular & Multidimensional) Proficient in DAX, MDX, and T-SQL Advanced ETL skills using SSIS / Informatica / Azure Data Factory Knowledge of dimensional modeling (star & snowflake schema) Experience with Azure SQL / MS SQL Server Familiarity with Git and CI/CD pipelines Nice to Have Exposure to cloud data platforms (Azure Synapse, Snowflake, AWS Redshift) Working knowledge of Power BI or similar BI tools Understanding of Agile/Scrum methodology Bachelor's degree in Computer Science, Information Systems, or equivalent Show more Show less

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8.0 years

0 Lacs

Greater Kolkata Area

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Location: PAN India Duration: 6 Months Experience Required: 7–8 years Job Summary We are looking for an experienced SSAS Developer with strong expertise in developing both OLAP and Tabular models using SQL Server Analysis Services (SSAS), alongside advanced ETL development skills using tools like SSIS, Informatica, or Azure Data Factory . The ideal candidate will be well-versed in T-SQL , dimensional modeling, and building high-performance, scalable data solutions. Key Responsibilities Design, build, and maintain SSAS OLAP cubes and Tabular models Create complex DAX and MDX queries for analytical use cases Develop robust ETL workflows and pipelines using SSIS, Informatica, or ADF Collaborate with cross-functional teams to translate business requirements into BI solutions Optimize SSAS models for scalability and performance Implement best practices in data modeling, version control, and deployment automation Support dashboarding and reporting needs via Power BI, Excel, or Tableau Maintain and troubleshoot data quality, performance, and integration issues Must-Have Skills Hands-on experience with SSAS (Tabular & Multidimensional) Proficient in DAX, MDX, and T-SQL Advanced ETL skills using SSIS / Informatica / Azure Data Factory Knowledge of dimensional modeling (star & snowflake schema) Experience with Azure SQL / MS SQL Server Familiarity with Git and CI/CD pipelines Nice to Have Exposure to cloud data platforms (Azure Synapse, Snowflake, AWS Redshift) Working knowledge of Power BI or similar BI tools Understanding of Agile/Scrum methodology Bachelor's degree in Computer Science, Information Systems, or equivalent Show more Show less

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8.0 years

0 Lacs

Greater Kolkata Area

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Location: PAN India Duration: 6 Months Experience Required: 7–8 years Job Summary We are looking for an experienced SSAS Developer with strong expertise in developing both OLAP and Tabular models using SQL Server Analysis Services (SSAS), alongside advanced ETL development skills using tools like SSIS, Informatica, or Azure Data Factory . The ideal candidate will be well-versed in T-SQL , dimensional modeling, and building high-performance, scalable data solutions. Key Responsibilities Design, build, and maintain SSAS OLAP cubes and Tabular models Create complex DAX and MDX queries for analytical use cases Develop robust ETL workflows and pipelines using SSIS, Informatica, or ADF Collaborate with cross-functional teams to translate business requirements into BI solutions Optimize SSAS models for scalability and performance Implement best practices in data modeling, version control, and deployment automation Support dashboarding and reporting needs via Power BI, Excel, or Tableau Maintain and troubleshoot data quality, performance, and integration issues Must-Have Skills Hands-on experience with SSAS (Tabular & Multidimensional) Proficient in DAX, MDX, and T-SQL Advanced ETL skills using SSIS / Informatica / Azure Data Factory Knowledge of dimensional modeling (star & snowflake schema) Experience with Azure SQL / MS SQL Server Familiarity with Git and CI/CD pipelines Nice to Have Exposure to cloud data platforms (Azure Synapse, Snowflake, AWS Redshift) Working knowledge of Power BI or similar BI tools Understanding of Agile/Scrum methodology Bachelor's degree in Computer Science, Information Systems, or equivalent Show more Show less

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8.0 years

0 Lacs

Greater Kolkata Area

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Location: PAN India Duration: 6 Months Experience Required: 7–8 years Job Summary We are looking for an experienced SSAS Developer with strong expertise in developing both OLAP and Tabular models using SQL Server Analysis Services (SSAS), alongside advanced ETL development skills using tools like SSIS, Informatica, or Azure Data Factory . The ideal candidate will be well-versed in T-SQL , dimensional modeling, and building high-performance, scalable data solutions. Key Responsibilities Design, build, and maintain SSAS OLAP cubes and Tabular models Create complex DAX and MDX queries for analytical use cases Develop robust ETL workflows and pipelines using SSIS, Informatica, or ADF Collaborate with cross-functional teams to translate business requirements into BI solutions Optimize SSAS models for scalability and performance Implement best practices in data modeling, version control, and deployment automation Support dashboarding and reporting needs via Power BI, Excel, or Tableau Maintain and troubleshoot data quality, performance, and integration issues Must-Have Skills Hands-on experience with SSAS (Tabular & Multidimensional) Proficient in DAX, MDX, and T-SQL Advanced ETL skills using SSIS / Informatica / Azure Data Factory Knowledge of dimensional modeling (star & snowflake schema) Experience with Azure SQL / MS SQL Server Familiarity with Git and CI/CD pipelines Nice to Have Exposure to cloud data platforms (Azure Synapse, Snowflake, AWS Redshift) Working knowledge of Power BI or similar BI tools Understanding of Agile/Scrum methodology Bachelor's degree in Computer Science, Information Systems, or equivalent Show more Show less

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8.0 years

0 Lacs

Greater Kolkata Area

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Location: PAN India Duration: 6 Months Experience Required: 7–8 years Job Summary We are looking for an experienced SSAS Developer with strong expertise in developing both OLAP and Tabular models using SQL Server Analysis Services (SSAS), alongside advanced ETL development skills using tools like SSIS, Informatica, or Azure Data Factory . The ideal candidate will be well-versed in T-SQL , dimensional modeling, and building high-performance, scalable data solutions. Key Responsibilities Design, build, and maintain SSAS OLAP cubes and Tabular models Create complex DAX and MDX queries for analytical use cases Develop robust ETL workflows and pipelines using SSIS, Informatica, or ADF Collaborate with cross-functional teams to translate business requirements into BI solutions Optimize SSAS models for scalability and performance Implement best practices in data modeling, version control, and deployment automation Support dashboarding and reporting needs via Power BI, Excel, or Tableau Maintain and troubleshoot data quality, performance, and integration issues Must-Have Skills Hands-on experience with SSAS (Tabular & Multidimensional) Proficient in DAX, MDX, and T-SQL Advanced ETL skills using SSIS / Informatica / Azure Data Factory Knowledge of dimensional modeling (star & snowflake schema) Experience with Azure SQL / MS SQL Server Familiarity with Git and CI/CD pipelines Nice to Have Exposure to cloud data platforms (Azure Synapse, Snowflake, AWS Redshift) Working knowledge of Power BI or similar BI tools Understanding of Agile/Scrum methodology Bachelor's degree in Computer Science, Information Systems, or equivalent Show more Show less

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8.0 years

0 Lacs

Greater Kolkata Area

On-site

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Location: PAN India Duration: 6 Months Experience Required: 7–8 years Job Summary We are looking for an experienced SSAS Developer with strong expertise in developing both OLAP and Tabular models using SQL Server Analysis Services (SSAS), alongside advanced ETL development skills using tools like SSIS, Informatica, or Azure Data Factory . The ideal candidate will be well-versed in T-SQL , dimensional modeling, and building high-performance, scalable data solutions. Key Responsibilities Design, build, and maintain SSAS OLAP cubes and Tabular models Create complex DAX and MDX queries for analytical use cases Develop robust ETL workflows and pipelines using SSIS, Informatica, or ADF Collaborate with cross-functional teams to translate business requirements into BI solutions Optimize SSAS models for scalability and performance Implement best practices in data modeling, version control, and deployment automation Support dashboarding and reporting needs via Power BI, Excel, or Tableau Maintain and troubleshoot data quality, performance, and integration issues Must-Have Skills Hands-on experience with SSAS (Tabular & Multidimensional) Proficient in DAX, MDX, and T-SQL Advanced ETL skills using SSIS / Informatica / Azure Data Factory Knowledge of dimensional modeling (star & snowflake schema) Experience with Azure SQL / MS SQL Server Familiarity with Git and CI/CD pipelines Nice to Have Exposure to cloud data platforms (Azure Synapse, Snowflake, AWS Redshift) Working knowledge of Power BI or similar BI tools Understanding of Agile/Scrum methodology Bachelor's degree in Computer Science, Information Systems, or equivalent Show more Show less

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10.0 - 15.0 years

22 - 37 Lacs

Bengaluru

Work from Office

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Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Join Kyndryl as a Data Architect where you will unlock the power of data to drive strategic decisions and shape the future of our business. As a key member of our team, you will harness your expertise in basic statistics, business fundamentals, and communication to uncover valuable insights and transform raw data into rigorous visualizations and compelling stories. In this role, you will have the opportunity to work closely with our customers as part of a top-notch team. You will dive deep into vast IT datasets, unraveling the mysteries hidden within, and discovering trends and patterns that will revolutionize our customers' understanding of their own landscapes. Armed with your advanced analytical skills, you will draw compelling conclusions and develop data-driven insights that will directly impact their decision-making processes. Your Role and Responsibilities: Data Architecture Design: Design scalable, secure, and high-performance data architectures, including data warehouses, data lakes, and BI solutions. Data Modeling: Develop and maintain complex data models (ER, star, and snowflake schemas) to support BI and analytics requirements. BI Strategy and Implementation: Lead the design and implementation of BI solutions using platforms like Power BI, Tableau, Qlik, and Looker. ETL/ELT Management: Architect efficient ETL/ELT pipelines for data transformation and integration across multiple data sources. Data Governance: Implement data quality, data lineage, and metadata management frameworks to ensure data reliability and compliance. Performance Optimization: Optimize data storage and retrieval processes for speed, scalability, and efficiency. Stakeholder Collaboration: Work closely with business and technical teams to define data requirements and deliver actionable insights. Cloud and Big Data: Utilize cloud-native tools like Azure Synapse, AWS Redshift, GCP BigQuery, and Databricks for large-scale data processing. Mentorship: Guide junior data engineers and BI developers on best practices and advanced techniques. Your unique ability to communicate and empathize with stakeholders will be invaluable. By understanding the business objectives and success criteria of each project, you will align your data analysis efforts seamlessly with our overarching goals. With your mastery of business valuation, decision-making, project scoping, and storytelling, you will transform data into meaningful narratives that drive real-world impact. At Kyndryl, we believe that data holds immense potential, and we are committed to helping you unlock that potential. You will have access to vast repositories of data, empowering you to delve deep to determine root causes of defects and variation. By gaining a comprehensive understanding of the data and its specific purpose, you will be at the forefront of driving innovation and making a difference. If you are ready to unleash your analytical ability, collaborate with industry experts, and shape the future of data-driven decision making, then join us as a Data Analyst at Kyndryl. Together, we will harness the power of data to redefine what is possible and create a future filled with limitless possibilities. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills and Experience Education: Bachelor's or master’s in computer science, Data Science, or a related field. Experience: 8+ years in data architecture, BI, and analytics roles. BI Tools: Power BI, Tableau, Qlik, Looker, SAP Analytics Cloud. Data Modeling: ER, dimensional, star, and snowflake schemas. Cloud Platforms: Azure, AWS, GCP, Snowflake. Databases: SQL Server, Oracle, MySQL, NoSQL (MongoDB, DynamoDB). ETL Tools: Informatica, Talend, SSIS, Apache Nifi. Scripting: Python, R, SQL, DAX, MDX. Soft Skills: Strong communication, problem-solving, and leadership abilities. Knowledge of deployment patterns. Strong documentation, troubleshooting, and data profiling skills. Excellent analytical, conceptual, and problem-solving abilities. Ability to manage multiple priorities and swiftly adapt to changing demands. Preferred Skills and Experience Microsoft Certified: Azure Data Engineer Associate AWS Certified Data Analytics - Specialty Google Professional Data Engineer Tableau Desktop Certified Professional Power BI Data Analyst Associate Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

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1.0 years

0 Lacs

Bengaluru, Karnataka, India

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Description Are you passionate about data? Does the prospect of dealing with massive volumes of data excite you? Do you want to build data engineering solutions that process billions of records a day in a scalable fashion using AWS technologies? Do you want to create the next-generation tools for intuitive data access? If so, Amazon Finance Technology (FinTech) is for you! FinTech is seeking a Data Engineer to join the team that is shaping the future of the finance data platform. The team is committed to building the next generation big data platform that will be one of the world's largest finance data warehouse to support Amazon's rapidly growing and dynamic businesses, and use it to deliver the BI applications which will have an immediate influence on day-to-day decision making. Amazon has culture of data-driven decision-making, and demands data that is timely, accurate, and actionable. Our platform serves Amazon's finance, tax and accounting functions across the globe. As a Data Engineer, you should be an expert with data warehousing technical components (e.g. Data Modeling, ETL and Reporting), infrastructure (e.g. hardware and software) and their integration. You should have deep understanding of the architecture for enterprise level data warehouse solutions using multiple platforms (RDBMS, Columnar, Cloud). You should be an expert in the design, creation, management, and business use of large data-sets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. The candidate is expected to be able to build efficient, flexible, extensible, and scalable ETL and reporting solutions. You should be enthusiastic about learning new technologies and be able to implement solutions using them to provide new functionality to the users or to scale the existing platform. Excellent written and verbal communication skills are required as the person will work very closely with diverse teams. Having strong analytical skills is a plus. Above all, you should be passionate about working with huge data sets and someone who loves to bring data-sets together to answer business questions and drive change. Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is a passionate about data and analytics. In this role you will be part of a team of engineers to create world's largest financial data warehouses and BI tools for Amazon's expanding global footprint. Key job responsibilities Design, implement, and support a platform providing secured access to large datasets. Interface with tax, finance and accounting customers, gathering requirements and delivering complete BI solutions. Model data and metadata to support ad-hoc and pre-built reporting. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Tune application and query performance using profiling tools and SQL. Analyze and solve problems at their root, stepping back to understand the broader context. Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use. Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets. Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment. Basic Qualifications Experience with SQL 1+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2968106 Show more Show less

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1.0 years

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Bengaluru, Karnataka, India

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Description Do you have the technical skill to build BI solutions that process billions of rows a day using AWS technologies? Do you want to create next-generation tools for intuitive data access? Do you wake up in the middle of the night with new ideas that will benefit your customers? Are you persistent in bringing your ideas to fruition? First things first, you know SQL and data modelling like the back of your hand. You also need to know Big Data and MPP systems. You have a history of coming up with innovative solutions to complex technical problems. You are a quick and willing learner of new technologies and have examples to prove your aptitude. You are not tool-centric; you determine what technology works best for the problem at hand and apply it accordingly. You can explain complex concepts to your non-technical customers in simple terms. Key job responsibilities Work with SDE teams and business stakeholders to understand data requirements and design data ingress flow for team Lead the design, model, and implementation of large, evolving, structured, semi-structured and unstructured datasets Evaluate and implement efficient distributed storage and query techniques Interact and integrate with internal and external teams and systems to extract, transform, and load data from a wide variety of sources Implement robust and maintainable code with clear and maintained documentation Implement test automation on code implemented through unit testing and integration testing Work in a tech stack which is a mix of NAWS services and legacy ETL tools within Amazon About The Team Data Insights, Metrics & Reporting team (DIMR) is the central data engineering team in Amazon Warehousing & Distribution org which is responsible for 4 things mainly - Building and maintaining data engineering and reporting infrastructure using NAWS to support internal/external data use-cases. Building data ingestions pipelines from any kind of upstream data sources which include (but not limited to) real time event streaming services, data lakes, manual file uploads, etc. Building mechanisms to vend data to internal team members or external sellers with right data handling techniques in place. Build robust data mart to support diverse use-cases powered by GenAI tool. Basic Qualifications 1+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2970459 Show more Show less

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1.0 years

4 - 6 Lacs

Hyderābād

On-site

- 1+ years of data engineering experience - Experience with SQL - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) Business Data Technologies (BDT) makes it easier for teams across Amazon to produce, store, catalog, secure, move, and analyze data at massive scale. Our managed solutions combine standard AWS tooling, open-source products, and custom services to free teams from worrying about the complexities of operating at Amazon scale. This lets BDT customers move beyond the engineering and operational burden associated with managing and scaling platforms, and instead focus on scaling the value they can glean from their data, both for their customers and their teams. We own the one of the biggest (largest) data lakes for Amazon where 1000’s of Amazon teams can search, share, and store EB (Exabytes) of data in a secure and seamless way; using our solutions, teams around the world can schedule/process millions of workloads on a daily basis. We provide enterprise solutions that focus on compliance, security, integrity, and cost efficiency of operating and managing EBs of Amazon data. Key job responsibilities CORE RESPONSIBILITIES: · Be hands-on with ETL to build data pipelines to support automated reporting · Interface with other technology teams to extract, transform, and load data from a wide variety of data sources · Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift. · Model data and metadata for ad-hoc and pre-built reporting · Interface with business customers, gathering requirements and delivering complete reporting solutions · Build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark. · Build and deliver high quality data sets to support business analyst, data scientists, and customer reporting needs. · Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers · Participate in strategic & tactical planning discussions A day in the life As a Data Engineer, you will be working with cross-functional partners from Science, Product, SDEs, Operations and leadership to translate raw data into actionable insights for stakeholders, empowering them to make data-driven decisions. Some of the key activities include: Crafting the Data Flow: Design and build data pipelines, the backbone of our data ecosystem. Ensure the integrity of the data journey by implementing robust data quality checks and monitoring processes. Architect for Insights: Translate complex business requirements into efficient data models that optimize data analysis and reporting. Automate data processing tasks to streamline workflows and improve efficiency. Become a data detective! ensuring data availability and performance Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Knowledge of cloud services such as AWS or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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