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9.0 - 14.0 years

35 - 65 Lacs

Bengaluru

Hybrid

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Software ARCHITECT - PRODUCT MNC - Urgent Hiring!!! Are you passionate about crafting scalable, cloud-native architectures? Do you thrive at the intersection of AI, cloud, and data platforms? Join us at Integra Connect, where we are transforming healthcare technology through intelligent solutions and innovation. LOCATION : BANGLORE - HYBRID What You'll Do: Architect end-to-end systems using Azure, Snowflake, Python, and .NET Lead AI/ML architecture and drive responsible AI practices Design scalable data platforms & ETL pipelines Mentor cross-functional engineering teams Set best practices for performance, security, and cloud optimization What Were Looking For: 8+ years in software development, 3+ years in architecture Deep expertise in Azure DevOps, AKS, Snowflake, AI/ML, and .NET/C# Experience in cloud-native architectures and healthcare systems is a plus Strong leadership, strategic thinking, and problem-solving skills At Integra Connect, you’ll be part of a team enabling specialty healthcare practices to thrive in a value-based care world — leveraging modern tech to make real impact. Hybrid | Competitive Benefits | Growth-Focused Culture Ready to architect the future of healthcare? Apply now or DM me for more info!

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9.0 - 14.0 years

30 - 45 Lacs

Bengaluru

Work from Office

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Design, deploy, and optimize Azure-based data pipelines and architectures. Ensure scalability, data integrity, and CI/CD automation. Collaborate with analytics teams and lead data engineering initiatives across hybrid data platforms Required Candidate profile Bachelor’s in CS/IT with 7–12 years of experience in Azure data engineering. Strong in ADF, Synapse, Databricks, and CI/CD. Able to mentor junior engineers, optimize large-scale data systems

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2.0 - 4.0 years

3 - 8 Lacs

Coimbatore

Work from Office

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We are looking for an experienced ETL Developer to join our team. The ideal candidate will have strong experience in ETL tools and processes, particularly with Talend, Informatica, Apache Nifi, Pentaho, or SSIS. The role requires excellent technical knowledge of databases, particularly MySQL, and a strong ability to integrate data from multiple sources. The candidate must also have strong manual testing skills and experience using version control systems such as GIT, along with project tracking tools like JIRA. Key Responsibilities: Design, develop, and implement ETL processes using tools like Talend, Informatica, Apache Nifi, Pentaho, or SSIS. Develop and maintain data pipelines to integrate data from various sources including APIs, cloud storage, and third-party applications. Perform data mapping, data transformation, and data cleansing to ensure data quality. Write complex SQL queries for data extraction, transformation, and loading from MySQL databases. Collaborate with cross-functional teams to understand data requirements and provide scalable solutions. Conduct manual testing to ensure the accuracy and performance of ETL processes and data. Manage version control with GIT, and track project progress in JIRA. Troubleshoot and resolve issues related to ETL processes, data integration, and testing. Ensure adherence to best practices for ETL design, testing, and documentation. Required Skills: 2.5 to 4 years of experience in ETL development with tools such as Talend, Informatica, Apache Nifi, Pentaho, or SSIS. Strong hands-on experience with MySQL databases. Proven ability to integrate data from diverse sources (APIs, cloud storage, third-party apps). Solid manual testing experience, with a focus on ensuring data accuracy and process integrity. Familiarity with GIT for version control and JIRA for project management. Strong problem-solving skills with the ability to troubleshoot and resolve technical issues. Excellent communication skills and the ability to collaborate with cross-functional teams. Preferred Skills: Experience working with cloud platforms such as AWS, Azure, or GCP. Knowledge of automation frameworks for testing ETL processes. Qualifications: Bachelors degree in computer science, Information Technology, or a related field (or equivalent work experience).

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10 - 14 years

15 - 22 Lacs

Gurugram

Work from Office

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ZS Master Data Management Team has an extensive track record of completing over 1000 global projects and partnering with 15 of the top 20 Global Pharma organizations. They specialize in various MDM domains, offering end-to-end project implementation, change management, and data stewardship support. Their services encompass MDM strategy consulting, implementation for key entities (e.g., HCP, HCO, Employee, Payer, Product, Patient, Affiliations), and operational support including KTLO and Data Stewardship. With 50+ MDM implementations and Change Management programs annually for Life Sciences clients, the team has developed valuable assets like MDM libraries and pre-built accelerators. Strategic partnerships with leading platform vendors (Reltio, Informatica, Veeva, Semarchy etc) and collaborations with 18+ data vendors and technology providers further enhance their capabilities. You as Business Technology Solutions Manager will take ownership of one or more client delivery at a cross office level encompassing the area of digital experience transformation. The successful candidate will work closely with ZS Technology leadership and be responsible for building and managing client relationships, generating new business engagements, and providing thought leadership in the Digital Area. What Youll Do Lead the delivery process right from discovery/ POC to managing operations, across 3-4 client engagements helping to deliver world-class MDM solutions Ownership to ensure the proposed design/ architecture, deliverables meets the client expectation and solves the business problem with high degree of quality; Partner with Senior Leadership team and assist in project management responsibility i.e. Project planning, staffing management, people growth, etc.; Develop and implement master data management strategies and processes to maintain high-quality master data across the organization. Design and manage data governance frameworks, including data quality standards, policies, and procedures. Outlook for continuous improvement, innovation and provide necessary mentorship and guidance to the team; Liaison with Staffing partner, HR business partners for team building/ planning; Lead efforts for building POV on new technology or problem solving, Innovation to build firm intellectual capital: Actively lead unstructured problem solving to design and build complex solutions, tune to meet expected performance and functional requirements; Stay current with industry trends and emerging technologies in master data management and data governance. What Youll Bring: Bachelor's/Master's degree with specialization in Computer Science, MIS, IT or other computer related disciplines; 10-14 years of relevant consulting-industry experience (Preferably Healthcare bad Life Science) working on medium-large scale MDM solution delivery engagements: 5+ years of hands-on experience on designing, implementation MDM services capabilities using tools such as Informatica MDM, Reltio etc Strong understanding of data management principles, including data modeling, data quality, and metadata management. Strong understanding of various cloud based data management (ETL Tools) platforms such as AWS, Azure, Snowflake etc.,; Experience in designing and driving delivery of mid-large-scale solutions on Cloud platforms; Experience with ETL design and development, and (OLAP) tools to support business applications Additional Skills Ability to manage a virtual global team environment that contributes to the overall timely delivery of multiple projects; Knowledge of current data modeling, and data warehouse concepts, issues, practices, methodologies, and trends in the Business Intelligence domain; Experience with analyzing and troubleshooting the interaction between databases, operating systems, and applications; Significant supervisory, coaching and hands-on project management skills; Willingness to travel to other global offices as needed to work with client or other internal project teams.

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4 - 6 years

7 - 17 Lacs

Bengaluru

Work from Office

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About this role: Wells Fargo is seeking a Senior Data Science Consultant. As Senior Data Science Consultant, you will be responsible for working on projects with opportunities to improve the customer experience using advanced analytics and data solution engineering. The data science team supports automated control and process optimization/streamlining by developing Advanced Analytical Solutions targeting to minimize compliance and operational risk across multiple lines of business across the bank. More specifically, you will support data exploration, population design, automate data driven review using Advanced automation techniques in SAS/Python/text mining/AI ML techniques. The selected candidate is expected to design analytical solution and generate meaningful business insight and communicate highly complex concepts to business stakeholders in layman term. In this role, you will: Work as technical expert in delivering high quality analytical solution and provide effective business insights Research, design and develop end-to-end advanced analytical solution using data solution engineering, ETL design, applying text mining and NLP Streamline ETL/data flow structure feeding to different analytical solutions through automation Clearly understand and articulate business requirements by leveraging domain understanding of line of business & product/ function and deliver the results underlining the business problem and appropriate business decision levers Identify & leverage appropriate analytical approach from a wide toolkit to make data driven recommendation Required Qualifications: 4+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science Desired Qualifications: 4+ years of hands work experience in advanced analytics/ data science and min. 2 years mandatory experience in Risk and Control/Compliance in a Banking domain Engineering Graduate/ Post-graduate in Maths/Stats/Economics/Computer Science Strong expertise in Python and SAS/SQL and text mining/NLP Must have exposure to unstructured data such as contact center technology data (IVR, Telephony, Text, Chat etc) along with Transactional data Exposure to SAS Viya and Data Lakes/Azure/Big data platforms would be a plus Sound knowledge in project documentation framework Must have consultative skills to have the ability to rationalize business need and solution design from business requirements Strong written and verbal communication, presentation and inter-personal skills. Ability to perform analysis, build hypothesis, draw conclusions and communicate clear, actionable recommendation to business leaders & partners. Ability to interact with integrity and a high level of professionalism with all levels of team members and management

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4 - 6 years

6 - 8 Lacs

Bengaluru

Work from Office

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Key Responsibilities: ETL Solutions: Design, implement, and manage scalable ETL solutions using the AWS technology stack, including EventBridge, Lambda, Glue, Step Functions, Redshift, and CloudWatch. Data Pipeline Management: Develop, enhance, debug, and maintain data pipelines for seamless operations and high performance. Best Practices: Implement best practices to ensure data availability, computational efficiency, cost optimization, and data quality within Snowflake and AWS environments. Process Enhancement: Build and improve data products, tools, and functionalities to support data lake implementation and advanced analytics, including prototypes and production systems. Production Support: Provide ongoing support for production data pipelines to ensure reliability and performance. Issue Resolution: Monitor, troubleshoot, and promptly resolve issues in data pipelines and ETL processes. Automation: Create scripts and tools to automate routine tasks and enhance system efficiency. Compliance: Ensure all data operations adhere to organizational policies and regulatory requirements. Required Qualifications: Bachelors degree in Computer Science, Engineering, or a related IT field. Experience: 45 years in software development. 3+ years of hands-on experience with AWS ETL solutions, including EventBridge, Lambda, Glue, Step Functions, Redshift, and CloudWatch. Technical Skills: Proficiency in SQL, S3, AWS Glue, PySpark, Python, Lambda, Redshift (Columnar DB), AWS IAM, Step Functions, Git, Terraform, and CI/CD pipelines. Additional Skills: Exposure to the MSBI stack (SSIS, SSAS, and SSRS) is a plus. Preferred Qualifications: Comprehensive knowledge of AWS Data Services. Advanced coding skills in Python and PySpark. Hands-on experience with SSIS for ETL design and implementation. Cloud Data Analytics or Engineering certifications.

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