310 Data Lake Jobs - Page 4

Job Purpose Evaluate the data governance framework and Power BI environment. Provide recommendations for enhancing data quality, and discoverability, and optimize Power BI performance. Desired Skills and experience Candidates should have a B.E./B.Tech/MCA/MBA in Finance, Information Systems, Computer Science or a related field 7+ years of experience as a Data and Cloud architecture with client stakeholders Understand and review PowerShell (PS), SSIS, Batch Scripts, and C# (.NET 3.0) codebases for data processes. Assess complexity of trigger migration across Active Batch (AB), Synapse, ADF, and Azure Databricks (ADB). Define usage of Azure SQL DW, SQL DB, and Data Lake (DL) for various workloads, proposing transitions where beneficial. Analyze data patterns for optimization, including direct raw-to-consumption loading and zone elimination (e.g., stg/app zones). Understand requirements for external tables (Lakehouse) Excellent communication skills, both written and verbal Extremely strong organizational and analytical skills with strong attention to detail Strong track record of excellent results delivered to internal and external clients Able to work independently without the needs for close supervision and collaboratively as part of cross-team efforts Experience with delivering projects within an agile environment Experience in project management and team management Key responsibilities include: Understand and review PowerShell (PS), SSIS, Batch Scripts, and C# (.NET 3.0) codebases for data processes. Assess the complexity of trigger migration across Active Batch (AB), Synapse, ADF, and Azure Databricks (ADB). Define usage of Azure SQL DW, SQL DB, and Data Lake (DL) for various workloads, proposing transitions where beneficial. Analyze data patterns for optimization, including direct raw-to-consumption loading and zone elimination (e.g., stg/app zones). Understand requirements for external tables (Lakehouse) Evaluate and ensure quality of deliverables within project timelines Develop a strong understanding of equity market domain knowledge Collaborate with domain experts and business stakeholders to understand business rules/logics Ensure effective, efficient, and continuous communication (written and verbally) with global stakeholders Independently troubleshoot difficult and complex issues on dev, test, UAT and production environments Responsible for end-to-end delivery of projects, coordination between client and internal offshore teams and manage client queries Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards, a natural aptitude to develop good internal working relationships and a flexible work ethic Responsible for Quality Checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time (TAT)

Type: Contract (36 Months Project) Location: Remote- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai Availability: Immediate Joiners Preferred Were looking for a Junior Microsoft Purview Specialist to support our data cataloging and governance initiatives in a fast-paced remote setup. Key Responsibilities: Assist in the configuration and management of Microsoft Purview Support data cataloging, classification, and lineage tracking Work with data owners to ensure proper tagging and metadata management Help implement data governance policies Assist in integrating Purview with Azure and on-premises sources Document governance processes and resolve Purview-related issues Collaborate with project teams for timely delivery Primary Skills Required: Microsoft Purview Data Cataloging & Classification Metadata Management Understanding of Data Governance Azure Data Services (Basic knowledge is a plus) Strong communication and collaboration skills Preferred Qualifications: Certification/training in Microsoft Purview or related tools Exposure to Azure ecosystem: Data Factory, Synapse, Data Lake Ability to work independently in a remote environment If interested, please share your profile with the following details: Full Name: Total Experience: Relevant Microsoft Purview Experience: Current CTC: Expected CTC: Notice Period / Availability: Current Location: Preferred Location (Remote):

Job Duties and Responsibilities: We are looking for a self-starter to join our Data Engineering team. You will work in a fast-paced environment where you will get an opportunity to build and contribute to the full lifecycle development and maintenance of the data engineering platform. With the Data Engineering team you will get an opportunity to - Design and implement data engineering solutions that is scalable, reliable and secure on the Cloud environment Understand and translate business needs into data engineering solutions Build large scale data pipelines that can handle big data sets using distributed data processing techniques that supports the efforts of the data science and data application teams Partner with cross-functional stakeholder including Product managers, Architects, Data Quality engineers, Application and Quantitative Science end users to deliver engineering solutions Contribute to defining data governance across the data platform Basic Requirements: A minimum of a BS degree in computer science, software engineering, or related scientific discipline is desired 3+ years of work experience in building scalable and robust data engineering solutions Strong understanding of Object Oriented programming and proficiency with programming in Python (TDD) and Pyspark to build scalable algorithms 3+ years of experience in distributed computing and big data processing using the Apache Spark framework including Spark optimization techniques 2+ years of experience with Databricks, Delta tables, unity catalog, Delta Sharing, Delta live tables(DLT) and incremental data processing Experience with Delta lake, Unity Catalog Advanced SQL coding and query optimization experience including the ability to write analytical and nested queries 3+ years of experience in building scalable ETL/ ELT Data Pipelines on Databricks and AWS (EMR) 2+ Experience of orchestrating data pipelines using Apache Airflow/ MWAA Understanding and experience of AWS Services that include ADX, EC2, S3 3+ years of experience with data modeling techniques for structured/ unstructured datasets Experience with relational/columnar databases - Redshift, RDS and interactive querying services - Athena/ Redshift Spectrum Passion towards healthcare and improving patient outcomes Demonstrate analytical thinking with strong problem solving skills Stay on top of emerging technologies and posses willingness to learn. Bonus Experience (optional) Experience with Agile environment Experience operating in a CI/CD environment Experience building HTTP/REST APIs using popular frameworks Healthcare experience

Dear Candidate, We are hiring a Data Engineering Manager to lead a team building data pipelines, models, and analytics infrastructure. Ideal for experienced engineers who can manage both technical delivery and team growth. Key Responsibilities: Lead development of ETL/ELT pipelines and data platforms Manage data engineers and collaborate with analytics/data science teams Architect systems for data ingestion, quality, and warehousing Define best practices for data architecture, testing, and monitoring Required Skills & Qualifications: Strong experience with big data tools (Spark, Kafka, Airflow) Proficiency in SQL, Python, and cloud data services (e.g., Redshift, BigQuery) Proven leadership and team management in data engineering contexts Bonus: Experience with real-time streaming and ML pipeline integration Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

No of years experience Relevant 4-8 Years. Detailed job description - Skill Set: Attached Mandatory Skills* Power BI, DAX, Azure Data Factory, PySpark notebooks, Spark SQL, and Python Good to Have Skills Power BI, DAX,ETL Processes, SQL, Azure Data Factory, Data Lake, Azure Synapse, Azure SQL, Databricks etc

Company Description: Volante is on the Leading Edge of Financial Services technology, if you are interested to be on an Innovative fast- moving team that leverages the very best in Cloud technology our team may be right for you. By joining the product team at Volante, you will have an opportunity to shape the future of payments technology, with focus on payment intelligence. We are a financial technology business that provides a market leading, cloud native Payments Processing Platform to Banks and Financial institutions globally. Education Criteria: • B.E, MSc, M.E/MS in Computer Science or similar major. Relevant certification courses from reputed organization. Experience of 3+ years as a Data Engineer Responsibilities: • The role involves design and development of scalable solutions, payment analytics unlocking operational and business insight • Own data modeling, building ETL pipelines and enabling data driven metrics • Build and optimize data models for our application needs • Design & develop data pipelines and workflows that integrate data sources (structured, unstructured data) across the payment landscape • Assess customer's data infrastructure landscape (payment ancillary systems including Sanctions, Fraud, AML) across cloud environments like AWS, Azure as well as on-prem, for deployment design • Lead the enterprise application data architecture design, framework & services plus Identify and enable the services for SaaS environment in Azure and AWS • Implement customizations and data processing required to transform customer datasets that is needed for processing in our analytics framework/BI models • Monitor data processing, machine learning workflows to ensure customer data is successfully processed by our BI models, debugging and resolving any issues faced along the way • Optimize queries, warehouse, data lake costs • Review and provide feedback on Data Architecture Design Document/HLD for our SaaS application • Cross team collaboration to successfully integrate all aspects of the Volante PaaS solution • Mentor to the development team Skills: • 3+ years of data engineering experience data collection, preprocessing, ETL processes and Analytics • Proficiency in data engineering Architecture, Metadata management, Analytics, reporting and database administration • Strong in SQL/NoSQL, Python, JSON and data warehousing/data lake , orchestration, analytical tools • ETL or pipeline design & implementation of large data • Experience with data technologies, frameworks like Databricks, Synapse, Kafka, Spark, Elasticsearch • Knowledge of SCD, CDC, core data warehousing to develop a cost-effective, secure data collection, storage, and distribution of data for SaaS application • Experience in application deployment in AWS or Azure w/container, Kubernetes • Strong problem-solving skills and passion for building data at scale Job Description Engineering Skills (Desirable): • Knowledge of data visualization tools like Tableau • ETL Orchestration tools like Airflow and visualization tools like Grafana • Prior experience in Banking or Payments domain Location: India (Pune or Chennai)

Type: Contract (36 Months Project) Availability: Immediate Joiners Preferred Were looking for a Junior Microsoft Purview Specialist to support our data cataloging and governance initiatives in a fast-paced remote setup. Key Responsibilities: Assist in the configuration and management of Microsoft Purview Support data cataloging, classification, and lineage tracking Work with data owners to ensure proper tagging and metadata management Help implement data governance policies Assist in integrating Purview with Azure and on-premises sources Document governance processes and resolve Purview-related issues Collaborate with project teams for timely delivery Primary Skills Required: Microsoft Purview Data Cataloging & Classification Metadata Management Understanding of Data Governance Azure Data Services (Basic knowledge is a plus) Strong communication and collaboration skills Preferred Qualifications: Certification/training in Microsoft Purview or related tools Exposure to Azure ecosystem: Data Factory, Synapse, Data Lake Ability to work independently in a remote environment If interested, please share your profile with the following details: Full Name: Total Experience: Relevant Microsoft Purview Experience: Current CTC: Expected CTC: Notice Period / Availability: Current Location: Preferred Location (Remote): Location-remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

4+ YOE as a Data Engineer/Scientist, hands-on experience working on Data Warehousing, Data ingestion, Data processing, Data Lakes Must have strong development experience using Python. and SQL, understanding of data orchestration tools like Airflow Required Candidate profile Experience with data extraction techniques - CDC, batch-based, Debezium, Kafka Connect, AWS DMS, queuing/messaging systems - SQS, RabbitMQ, Kinesis, AWS, Data/ML - AWS Glue, MWAA, Athena, Redshift

Company Overview Accordion works at the intersection of sponsors and management teams throughout every stage of the investment lifecycle, providing hands-on, execution-focused support to elevate data and analytics capabilities. So, what does it mean to work at Accordion? It means joining 1,000+ analytics, data science, finance & technology experts in a high-growth, agile, and entrepreneurial environment while transforming how portfolio companies drive value. It also means making your mark on Accordions futureby embracing a culture rooted in collaboration and a firm-wide commitment to building something great, together. Headquartered in New York City with 10 offices worldwide, Accordion invites you to join our journey. Data & Analytics (Accordion | Data & Analytics) Accordion's Data & Analytics (D&A) team delivers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges. We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics. D&A team delivers data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more. Location: Hyderabad, Telangana Role Overview: Accordion is looking for Senior Data Engineer with Database/Data Warehouse/Business Intelligence experience. He/she will be responsible for the design, development, configuration/deployment, and maintenance of the above technology stack. He/she must have in depth understanding of various tools & technologies in the above domain to design and implement robust and scalable solutions which address client current and future requirements at optimal costs. The Senior Data Engineer should be able to understand various architecture and recommend right fit depending on the use case of the project. A successful Senior Data Engineer should possess strong working business knowledge, familiarity with multiple tools and techniques along with industry standards and best practices in Business Intelligence and Data Warehousing environment. He/she should have strong organizational, critical thinking, and communication skills. What You will do: Understand the business requirements thoroughly to design and develop the BI architecture. Determine business intelligence and data warehousing solutions that meet business needs. Perform data warehouse design and modelling according to established standards. Work closely with the business teams to arrive at methodologies to develop KPIs and Metrics. Work with Project Manager in developing and executing project plans within assigned schedule and timeline. Develop standard reports and functional dashboards based on business requirements. Ensure to develop and deliver high quality reports in timely and accurate manner. Conduct training programs and knowledge transfer sessions to junior developers when needed. Recommend improvements to provide optimum reporting solutions. Ideally, you have: Undergraduate degree (B.E/B.Tech.) from tier-1/tier-2 colleges are preferred. 2 - 5 years of experience in related field. Proven expertise in SSIS, SSAS and SSRS (MSBI Suite). In-depth knowledge of databases (SQL Server, MySQL, Oracle etc.) and data warehouse (Azure Synapse, AWS Redshift, Google BigQuery, Snowflake etc.). In-depth knowledge of business intelligence tools (any one of Power BI, Tableau, Qlik, DOMO, Looker etc.). Good understanding of Azure (Data Factory & Pipelines, SQL Database & Managed Instances, DevOps, Logic Apps, Analysis Services), AWS (Glue, Aurora Database, Dynamo Database, Redshift, QuickSight). Proven abilities to take on initiative and be innovative. Analytical mind with problem solving attitude. Why Explore a Career at Accordion: High growth environment: Semi-annual performance management and promotion cycles coupled with a strong meritocratic culture, enables fast track to leadership responsibility. Cross Domain Exposure: Interesting and challenging work streams across industries and domains that always keep you excited, motivated, and on your toes. Entrepreneurial Environment : Intellectual freedom to make decisions and own them. We expect you to spread your wings and assume larger responsibilities. Fun culture and peer group: Non-bureaucratic and fun working environment; Strong peer environment that will challenge you and accelerate your learning curve. Other benefits for full time employees: Health and wellness programs that include employee health insurance covering immediate family members and parents, term life insurance for employees, free health camps for employees, discounted health services (including vision, dental) for employee and family members, free doctors consultations, counsellors, etc. Corporate Meal card options for ease of use and tax benefits. Team lunches, company sponsored team outings and celebrations. Cab reimbursement for women employees beyond a certain time of the day. Robust leave policy to support work-life balance. Specially designed leave structure to support woman employees for maternity and related requests. Reward and recognition platform to celebrate professional and personal milestones. A positive & transparent work environment including various employee engagement and employee benefit initiatives to support personal and professional learning and development.

Data Architect with Cloud Expert, Data Architecture, Data Integration & Data Engineering ETL/ELT - Talend, Informatica, Apache NiFi. Big Data - Hadoop, Spark Cloud platforms (AWS, Azure, GCP), Redshift, BigQuery Python, SQL, Scala,, GDPR, CCPA

Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, remote Experience: 13 Years Preferred Availability: Immediate Joiners Preferred Were looking for a Junior Microsoft Purview Specialist to support our data cataloging and governance initiatives in a fast-paced remote setup. Key Responsibilities: Assist in the configuration and management of Microsoft Purview Support data cataloging, classification, and lineage tracking Work with data owners to ensure proper tagging and metadata management Help implement data governance policies Assist in integrating Purview with Azure and on-premises sources Document governance processes and resolve Purview-related issues Collaborate with project teams for timely delivery Primary Skills Required: Microsoft Purview Data Cataloging & Classification Metadata Management Understanding of Data Governance Azure Data Services (Basic knowledge is a plus) Strong communication and collaboration skills Preferred Qualifications: Certification/training in Microsoft Purview or related tools Exposure to Azure ecosystem: Data Factory, Synapse, Data Lake Ability to work independently in a remote environment If interested, please share your profile with the following details: Full Name: Total Experience: Relevant Microsoft Purview Experience: Current CTC: Expected CTC: Notice Period / Availability: Current Location: Preferred Location (Remote):

Diacto is looking for a highly capable Data Architect with 5 to 9 years of experience to lead cloud data platform initiatives with a primary focus on Snowflake and Azure Data Hub. This individual will play a key role in defining the data architecture strategy, implementing robust data pipelines, and enabling enterprise-grade analytics solutions. This is an on-site role based in our Baner, Pune office. Qualifications: B.E./B.Tech in Computer Science, IT, or related discipline MCS/MCA or equivalent preferred Key Responsibilities: Design and implement enterprise-level data architecture with a strong focus on Snowflake and Azure Data Hub Define standards and best practices for data ingestion, transformation, and storage Collaborate with cross-functional teams to develop scalable, secure, and high-performance data pipelines Lead Snowflake environment setup, configuration, performance tuning, and optimization Integrate Azure Data Services with Snowflake to support diverse business use cases Implement governance, metadata management, and security policies Mentor junior developers and data engineers on cloud data technologies and best practices Experience and Skills Required: 5?9 years of overall experience in data architecture or data engineering roles Strong, hands-on expertise in Snowflake, including design, development, and performance tuning Solid experience with Azure Data Hub and Azure Data Services (Data Lake, Synapse, etc.) Understanding of cloud data integration techniques and ELT/ETL frameworks Familiarity with data orchestration tools such as DBT, Airflow, or Azure Data Factory Proven ability to handle structured, semi-structured, and unstructured data Strong analytical, problem-solving, and communication skills Nice to Have: Certifications in Snowflake and/or Microsoft Azure Experience with CI/CD tools like GitHub for code versioning and deployment Familiarity with real-time or near-real-time data ingestio Why Join Diacto Technologies Work with a cutting-edge tech stack and cloud-native architectures Be part of a data-driven culture with opportunities for continuous learning Collaborate with industry experts and build transformative data solutions

About the role We are seeking a highly skilled and experienced Data Architect to join our team. The ideal candidate will have at least 1 2 years of experience in s oftware & data engineering and a nalytics and a proven track record of designing and implementing complex data solutions. Y ou will be expected to design, create, deploy, and manage Blackbauds data architecture. This role has considerable technical influence within the Data Platform, Data Engineering teams, and the Data Intelligence Center of Excellence atBlackbaud. Thisindividual acts as an evangelist for proper data strategy with other teams at Blackbaud and assists with the technical direction, specifically with data, of other projects. What youll be doing Develop and direct the strategy for all aspects of Blackbauds Data and Analytics platforms, products and services Set, communicate and facilitate technical directionmore broadly for the AI Center of Excellence and collaboratively beyond the Center of Excellence Design and develop breakthrough products, services or technological advancements in the Data Intelligence space that expand our business Work alongside product management to craft technical solutions to solve customer business problems. Own the technical data governance practices and ensures data sovereignty, privacy, security and regulatory compliance. Continuously challenging the status quo of how things have been done in the past. Build data access strategy to securely democratize data and enable research, modelling, machine learning and artificial intelligence work. Help define the tools and pipeline patterns our engineers and data engineers use to transform data and support our analytics practice Work in a cross-functional team to translate business needs into data architecture solutions. Ensure data solutions are built for performance, scalability, and reliability. Mentor junior data architects and team members. Keep current on technologydistributed computing, big data concepts and architecture. Promote internally how data within Blackbaud can help change the world. What we want you to have: 1 0 + years of experience in data and advanced analytics At least 8 years of experience working on data technologies in Azure/AWS Experience building modern products and infrastructure Experience working with .Net /Java and Microservice Architecture Expertise in SQL and Python Expertise in SQL Server, Azure Data Services, and other Microsoft data technologies. Expertise in Databricks, Microsoft Fabric Strong understanding of data modeling, data warehousing, data lakes , data mesh and data products. Experience with machine learning Excellent communication and leadership skills. Able to work flexible hours as required by business priorities Ability to deliver software that meets consistent standards of quality, security and operability. Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters. About The Role We are looking for a highly motivated individual with strong organizational and technical skills for the position of Lead Data Engineer/ Data Engineering Manager (Snowflake). You will play a critical role working on cutting edge of Data Engineering and analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives.Effectively communicate across various levels, including Executives, and functions within the global organization.Demonstrate strong leadership skills with ability to drive projects/tasks to delivering valueEngage with stakeholders, business analysts and project team to understand the data requirements.Design analytical frameworks to provide insights into a business problem.Explore and visualize multiple data sets to understand data available and prepare data for problem solving.Design database models (if a data mart or operational data store is required to aggregate data for modeling). About You You're a fit for the Lead Data Engineer/ Data Engineering Manager (Snowflake), if your background includes:QualificationsB-Tech/M-Tech/MCA or equivalentExperience7-9 years of corporate experienceLocationBangalore, IndiaHands-on experience in developing data models for large scale data warehouse/data Lake Snowflake, BWMap the data journey from operational system sources through any transformations in transit to itsdelivery into enterprise repositories (Warehouse, Data Lake, Master Data, etc.)Enabling on the overall master and reference data strategy, including the procedures to ensure the consistency and quality of Finance reference data.Experience across ETL, SQL and other emerging data technologies with experience in integrations of a cloud-based analytics environmentBuild and refine end-to-end data workflows to offer actionable insightsFair understanding of Data Strategy, Data Governance ProcessKnowledge in BI analytics and visualization toolsPower BI, Tableau #LI-NR1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Job Title: Microsoft Purview Specialist (Junior Level) Type: Contract (36 Months Project) Location: Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote Experience: 1--3 Years Preferred Availability: Immediate Joiners Preferred Were looking for a Junior Microsoft Purview Specialist to support our data cataloging and governance initiatives in a fast-paced remote setup. Key Responsibilities: Assist in the configuration and management of Microsoft Purview Support data cataloging, classification, and lineage tracking Work with data owners to ensure proper tagging and metadata management Help implement data governance policies Assist in integrating Purview with Azure and on-premises sources Document governance processes and resolve Purview-related issues Collaborate with project teams for timely delivery Primary Skills Required: Microsoft Purview Data Cataloging & Classification Metadata Management Understanding of Data Governance Azure Data Services (Basic knowledge is a plus) Strong communication and collaboration skills Preferred Qualifications: Certification/training in Microsoft Purview or related tools Exposure to Azure ecosystem: Data Factory, Synapse, Data Lake Ability to work independently in a remote environment If interested, please share your profile with the following details: Full Name: Total Experience: Relevant Microsoft Purview Experience: Current CTC: Expected CTC: Notice Period / Availability: Current Location: Preferred Location (Remote):

Design, develop, and maintain scalable data processing applications using Spark and PySpark API Development 5+ years of experience in at least one of the following: Java, Spark, scala, Python API Development expertise. Write efficient, reusable, and well-documented code. Design and implement data pipelines using tools like Spark and PySpark. Strong analytical and problem-solving abilities to address technical challenges. Perform code reviews and provide constructive feedback to improve code quality. Design and implement data processing tasks that integrate with SQL databases. Proficiency in data modeling, data lake, lakehouse, and data warehousing concepts. Experience with cloud platforms like AWS

Experience with Scala object-oriented/object function Strong SQL background. Experience in Spark SQL, Hive, Data Engineer. SQL Experience with data pipelines & Data Lake Strong background in distributed comp Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise SQL Experience with data pipelines & Data Lake Strong background in distributed comp Experience with Scala object-oriented/object function Strong SQL background Preferred technical and professional experience Core Scala Development Experience.

Looking for challenging role If you really want to make a difference - make it with us Can we energize society and fight climate change at the same time At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the world’s energy systems. Their spirit fuels our mission. Our culture is defined by caring, agile, respectful, and accountable individuals. We value excellence of any kind. Sounds like you About the Team The global engineering team is responsible for the development of reference auxiliaries and adaptation to customer requirements for large gas & steam turbines and generator packages. The Tools and Data Management (TDM) department is represented in Germany, India and USA and is administrating and further developing the engineering tool landscape including its data. To improve efficiency and daily work experience of the engineering teams, we focus onEasy user interfaces, seamless flow of data between tools, excellent tool performance, simplification of the tool landscape and the application of effective techniques to evaluate, interpret and visualize data. A Snapshot of Your Day In the morning, you will continue reviewing ideas from the GCO team to identify business processes where generative language AI solutions can add value. You will engage with idea providers to understand their motivations and details better. After evaluating the input, you will refine your shortlist of potential projects. Before lunch, you will join the Siemens Energy (SE) AI community meeting to stay updated on the latest developments in the field. After lunch, you will present AI techniques, opportunities, and limitations to the Bid Management team at GCO. You will highlight promising ideas from your shortlist and initiate discussions about which ideas should be prioritized for implementation. In the afternoon, you'll collaborate with colleagues to discuss new ideas and the necessary architecture for data sources, APIs, and data lakes. You will end your day by summarizing progress and planning the next steps. Then, it’s time and you call it a day. Your new role – challenging and future- oriented Drive the development and implementation of advanced data analytics solutions with focus on natural language processing NLP and ML techniques Support the implementation of data driven project execution methodologies across the engineering, bid management, project management and procurement disciplines Coordinate data integration and analysis requirements as well as solutions with IT Define required data integration and analysis capabilities for the organization - train the team Join the expert network across different business areas, including IT and stay up-to-date on latest data science and ML techniques Ensure effective communication with project stakeholders. We don’t need superheroes, just super minds Master’s degree in computer science, data science, applied mathematics, statistics or comparable engineering/IT discipline Minimum 2 years of experience in developing AI applications and integration of AI with existing applications Enthusiastic about unleashing the full potential of data, data analytics and AI/ML solutions in operative business processes Advanced programming skills with Python and other relevant programming languages (e.g., Java, JavaScript) Proficiency with database management systems (e.g., SQL and NoSQL) Experience with cloud platforms (e.g., AWS, Azure and GCP). Excellent team player in global interdisciplinary teams Experience working within Agile or Scrum frameworks Open mindset to new technologies and enthusiastic to continuously learn Analytical mindset and a systematic style of working Fluent English is a must - excellent communication and presentation skills We’ve got quite a lot to offer. How about you This role is based at Site (Gurgaon). You’ll also get to visit other locations in India and beyond, so you’ll need to go where this journey takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries – and the shape of things to come. We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total Exp-6-7 Yrs (Relevant-4-5 Yrs) Mandatory Skills: Azure Databricks, Python/PySpark, SQL, Github, - Azure Devops - Azure Blob Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise We are seeking a skilled Azure Data Engineer with 5+ years of experience Including 3+ years of hands-on experience with ADF/Databricks The ideal candidate Data bricks,Data Lake, Phyton programming skills. The candidate will also have experience for deploying to data bricks. Familiarity with Azure Data Factory Preferred technical and professional experience Good communication skills. 3+ years of experience with ADF/DB/DataLake. Ability to communicate results to technical and non-technical audiences

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise We are seeking a skilled Azure Data Engineer with 5+ years of experience Including 3+ years of hands-on experience with ADF/Databricks The ideal candidate Data bricks,Data Lake, Phyton programming skills. The candidate will also have experience for deploying to data bricks. Familiarity with Azure Data Factory Preferred technical and professional experience Good communication skills. 3+ years of experience with ADF/DB/DataLake. Ability to communicate results to technical and non-technical audiences

Hiring for US based Multinational Company (MNC) We are seeking a skilled and detail-oriented Data Engineer to join our team. In this role, you will design, build, and maintain scalable data pipelines and infrastructure to support business intelligence, analytics, and machine learning initiatives. You will work closely with data scientists, analysts, and software engineers to ensure that high-quality data is readily available and usable. Design and implement scalable, reliable, and efficient data pipelines for processing and transforming large volumes of structured and unstructured data. Build and maintain data architectures including databases, data warehouses, and data lakes. Collaborate with data analysts and scientists to support their data needs and ensure data integrity and consistency. Optimize data systems for performance, cost, and scalability. Implement data quality checks, validation, and monitoring processes. Develop ETL/ELT workflows using modern tools and platforms. Ensure data security and compliance with relevant data protection regulations. Monitor and troubleshoot production data systems and pipelines. Proven experience as a Data Engineer or in a similar role Strong proficiency in SQL and at least one programming language such as Python, Scala, or Java Experience with data pipeline tools such as Apache Airflow, Luigi, or similar Familiarity with modern data platforms and tools: Big Data: Hadoop, Spark Data Warehousing: Snowflake, Redshift, BigQuery, Azure Synapse Databases: PostgreSQL, MySQL, MongoDB Experience with cloud platforms (AWS, Azure, or GCP) Knowledge of data modeling, schema design, and ETL best practices Strong analytical and problem-solving skills

What you will do In this vital role you will lead the engagement model between Amgen's Technology organization and our global business partners in Commercial Data & Analytics. We seek a technology leader with a passion for innovation and a collaborative working style that partners effectively with business and technology leaders. Are you interested in building a team that consistently delivers business value in an agile model using technologies such as AWS, Databricks, Airflow, and Tableau Come join our team! Roles & Responsibilities: Establish an effective engagement model to collaborate with senior leaders on the Sales Insights product team within the Commercial Data & Analytics organization, focused on operations within the United States Serve as the technology product owner for an agile product team committed to delivering business value to Commercial stakeholders via data pipeline buildout for sales data Lead and mentor junior team members to deliver on the needs of the business Interact with business clients and technology management to create technology roadmaps, build cases, and drive DevOps to achieve the roadmaps Help to mature Agile operating principles through deployment of creative and consistent practices for user story development, robust testing and quality oversight, and focus on user experience Ability to connect and understand our vast array Commercial and other functional data sources including Sales, Activity, and Digital data, etc. into consumable and user-friendly modes (e.g., dashboards, reports, mobile, etc.) for key decision makers such as executives, brand leads, account managers, and field representatives. Become the lead subject matter expert in reporting technology capabilities by researching and implementing new tools and features, internal and external methodologies Basic Qualifications: Masters degree with 8 - 10 years of experience in Information Systems experience OR Bachelors degree with 10 - 14 years of experience in Information Systems experience OR Diploma with 14 - 18 years of experience in Information Systems experience Must-Have Skills Excellent problem-solving skills and a passion for tackling complex challenges in data and analytics with technology Experience leading data and analytics teams in a Scaled Agile Framework (SAFe) Excellent interpersonal skills, strong attention to detail, and ability to influence based on data and business value Ability to build compelling business cases with accurate cost and effort estimations Has experience with writing user requirements and acceptance criteria in agile project management systems such as Jira Ability to explain sophisticated technical concepts to non-technical clients Strong understanding of sales and incentive compensation value streams Preferred Qualifications: Jira Align & Confluence experience Experience of DevOps, Continuous Integration, and Continuous Delivery methodology Understanding of software systems strategy, governance, and infrastructure Experience in managing product features for PI planning and developing product roadmaps and user journeys Familiarity with low-code, no-code test automation software Technical thought leadership Soft Skills: Able to work effectively across multiple geographies (primarily India, Portugal, and the United States) under minimal supervision Demonstrated proficiency in written and verbal communication in English language Skilled in providing oversight and mentoring team members. Demonstrated ability in effectively delegating work Intellectual curiosity and the ability to question partners across functions Ability to prioritize successfully based on business value High degree of initiative and self-motivation Ability to manage multiple priorities successfully across virtual teams Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills Technical Skills: ETL tools: Experience in ETL tools such as Databricks Redshift or equivalent cloud-based dB Big Data, Analytics, Reporting, Data Lake, and Data Integration technologies S3 or equivalent storage system AWS (similar cloud-based platforms) BI Tools (Tableau and Power BI preferred)

Job Overview: Diacto is looking for a highly capable Data Architect with 5 to 9 years of experience to lead cloud data platform initiatives with a primary focus on Snowflake and Azure Data Hub. This individual will play a key role in defining the data architecture strategy, implementing robust data pipelines, and enabling enterprise-grade analytics solutions. This is an on-site role based in our Baner, Pune office. Qualifications: B.E./B.Tech in Computer Science, IT, or related discipline MCS/MCA or equivalent preferred Key Responsibilities: Design and implement enterprise-level data architecture with a strong focus on Snowflake and Azure Data Hub Define standards and best practices for data ingestion, transformation, and storage Collaborate with cross-functional teams to develop scalable, secure, and high-performance data pipelines Lead Snowflake environment setup, configuration, performance tuning, and optimization Integrate Azure Data Services with Snowflake to support diverse business use cases Implement governance, metadata management, and security policies Mentor junior developers and data engineers on cloud data technologies and best practices Experience and Skills Required: 5 to 9 years of overall experience in data architecture or data engineering roles Strong, hands-on expertise in Snowflake , including design, development, and performance tuning Solid experience with Azure Data Hub and Azure Data Services (Data Lake, Synapse, etc.) Understanding of cloud data integration techniques and ELT/ETL frameworks Familiarity with data orchestration tools such as DBT, Airflow , or Azure Data Factory Proven ability to handle structured, semi-structured, and unstructured data Strong analytical, problem-solving, and communication skills Nice to Have: Certifications in Snowflake and/or Microsoft Azure Experience with CI/CD tools like GitHub for code versioning and deployment Familiarity with real-time or near-real-time data ingestion Why Join Diacto Technologies? Work with a cutting-edge tech stack and cloud-native architectures Be part of a data-driven culture with opportunities for continuous learning Collaborate with industry experts and build transformative data solutions Competitive salary and benefits with a collaborative work environment in Baner, Pune How to Apply: Option 1 (Preferred) Copy and paste the following link on your browser and submit your application for automated interview process : - https://app.candidhr.ai/app/candidate/gAAAAABoRrcIhRQqJKDXiCEfrQG8Rtsk46Etg4-K8eiwqJ_GELL6ewSC9vl4BjaTwUAHzXZTE3nOtgaiQLCso_vWzieLkoV9Nw==/ Option 2 1. Please visit our website's career section at https://www.diacto.com/careers/ 2. Scroll down to the " Who are we looking for ?" section 3. Find the listing for " Data Architect (Snowflake) " and 4. Proceed with the virtual interview by clicking on " Apply Now ."

Job Title: Data Engineer Location : Pune, India (On-site) Experience : 3 5 years Employment Type: Full-time Job Summary We are looking for a hands-on Data Engineer who can design and build modern Lakehouse solutions on Microsoft Azure. You will own data ingestion from source-system APIs through Azure Data Factory into OneLake, curate bronze silver gold layers on Delta Lake, and deliver dimensional models that power analytics at scale. Key Responsibilities Build secure, scalable Azure Data Factory pipelines that ingest data from APIs, files, and databases into OneLake. Curate raw data into Delta Lake tables on ADLS Gen 2 using the Medallion (bronze silver gold) architecture, ensuring ACID compliance and optimal performance. Develop and optimize SQL/Spark SQL transformations in Azure Fabric Warehouse / Lakehouse environments. Apply dimensional-modelling best practices (star/snowflake, surrogate keys, SCDs) to create analytics-ready datasets. Implement monitoring, alerting, lineage, and CI/CD (Git/Azure DevOps) for all pipelines and artifacts. Document data flows, data dictionaries, and operational runbooks. Must-Have Technical Skills Azure Fabric & Lakehouse experience Azure Fabric Warehouse experience / Azure Synapse Data Factory building, parameterizing, and orchestrating API-driven ingestion pipelines ADLS Gen 2 + Delta Lake Strong SQL advanced querying, tuning, and procedural extensions (T-SQL / Spark SQL) Data-warehousing & Dimensional Modelling concepts Good-to-Have Skills Python (PySpark, automation, data-quality checks) Unix/Linux shell scripting DevOps (Git, Azure DevOps) Education & Certifications BE / B. Tech in computer science, Information Systems, or related field Preferred: Microsoft DP-203 Azure Data Engineer Associate Soft Skills Analytical, detail-oriented, and proactive problem solver Clear written and verbal communication; ability to simplify complex topics Collaborative and adaptable within agile, cross-functional teams