552 Etl Tool Jobs - Page 20

Job Summary Synechron is seeking an experienced Lead Python with Java Developer to join our team. This critical role is designed to drive the development and integration of robust software solutions that bolster our business objectives. The successful candidate will leverage their expertise in Python, Java, and data management technologies to deliver high-quality applications and contribute to strategic projects within the organization. Software Requirements Required: Proficiency in Python and Java Experience with ETL tools, specifically IBM DataStage Preferred: Familiarity with SQL, BigData, PySpark, and Hive Overall Responsibilities Lead the design, development, and maintenance of scalable software applications using Python and Java. Oversee the integration of ETL processes using IBM DataStage. Collaborate with cross-functional teams to define software requirements and deliver solutions that meet business needs. Ensure the performance, quality, and responsiveness of applications through rigorous testing and optimization. Mentor and guide junior developers, setting best practices and coding standards. Technical Skills (By Category) Programming Languages: Required: Python, Java Databases/Data Management: Preferred: SQL, BigData, Hive Frameworks and Libraries: Preferred: PySpark Development Tools and Methodologies: Required: IBM DataStage Security Protocols: Preferred: Understanding of data security measures in application development Experience Requirements Minimum 6+ years of experience in software development roles. Proven experience in developing applications using Python and Java. Experience in the financial services industry is preferred but not mandatory. Alternative pathways include significant project-based experience in software development and data management. Day-to-Day Activities Develop and maintain high-quality, testable code in Python and Java. Conduct regular code reviews and ensure adherence to best practices. Collaborate with stakeholders to gather requirements and define project scope. Participate in regular team meetings and contribute to project planning sessions. Provide technical leadership and decision-making for software development projects. Qualifications RequiredBachelor’s degree in Computer Science, Information Technology, or a related field. PreferredCertifications in relevant programming languages or ETL tools. Commitment to continuous professional development and staying current with industry trends. Professional Competencies Strong critical thinking and problem-solving capabilities. Demonstrated leadership and teamwork abilities. Excellent communication and stakeholder management skills. Adaptability and a continuous learning orientation. Innovative mindset and ability to manage time and priorities effectively.

About the Company: DiLytics is a leading Information Technology (IT) Services provider completely focused on providing services in Analytics, Business Intelligence, Data Warehousing, Data Integration and Enterprise Performance Management areas. We have been growing for 12+ years and have offices in the US, Canada and India. We are an employee-friendly company that offers exciting and stress-free work culture and provides career paths where elements of job enrichment and flexibility to move across roles are inherent. Key Responsibilities: Manage a team of ETL developers, assign tasks, and ensure timely delivery of projects and PoCs. Provide technical leadership and groom a team of ETL developers. Design and develop complex mappings, Process Flows and ETL scripts. Perform data extraction and transformation using SQL query to create data set required for dashboards. Optimize ETL processes for efficiency, scalability, and performance tuning. Utilize appropriate ETL tools and technologies (e.g., ODI, ADF, SSIS, Alteryx, Talend, etc.) Stay up to date on the latest ETL trends and technologies. Exposure to designing and developing BI reports and dashboards using Power Bi/Tableau and other tools to meet business analytic needs. Skills Required: Bachelors degree in computer science or related field. Relevant experience of 4 to 8 years. Extensive experience in designing and implementing ETL processes. Experience in designing / developing ETL processes such as ETL control tables, error logging, auditing, data quality, etc. Expertise in Data Integration tool sets - Azure Data Factory, Oracle Data Integrator, SQL Server Integration Services, Talend, etc. - and PL/SQL. Exposure to one or more of these data visualization tools - OAC, Power BI, Tableau, OBIEE. Excellent written, verbal communication and interpersonal skills.

Job Title: Lead / Senior Salesforce Developer Experience Range: 6-8 years in Salesforce (10+ years overall in IT) Hiring Location: Bangalore, Chennai, Trivandrum, Kochi, Pune & Hyderabad Must Have Skills 6-8 years hands-on Salesforce.com development experience (Apex, Visualforce, Lightning) Strong experience in Salesforce Lightning (Aura framework), creating Lightning Components Hands-on with Apex, Visualforce, Triggers, SOQL, JavaScript, and Salesforce DX tools Proven experience on at least 3 Salesforce Lightning projects Expertise in Salesforce administration, configuration, and customization Implementation experience with workflow rules, validation rules, approval processes, reports, and dashboards Experience integrating Salesforce with external systems using REST/SOAP APIs Hands-on experience with Sales, Service, and Community Clouds Production deployment using change sets, Eclipse/ANT migration tools Proficiency in Apex Data Loader and ETL tools (e.g., Informatica, Mulesoft, Boomi, Cast Iron) Experience with SQL/PL-SQL and database development Strong understanding of coding best practices and governor limits Excellent communication skills and ability to work with US-based stakeholders Knowledge of Salesforce admin activities - user/role/profile setup, security configuration Good to Have Skills Experience in the healthcare domain Experience with Salesforce1/Mobile, Heroku, Radian6, Einstein Analytics Familiarity with HTML5, CSS, AJAX, XML, JQuery, or other JS frameworks Prior development experience in Java or .NET Exposure to Google APIs and other third-party integrations Salesforce Certifications Must Have: Platform Developer I App Builder Desirable: Platform Developer II (or DEV 501 - all 3 parts completed) Good to Have: Advanced Administrator (ADM 301) Consultant Certifications (Sales Cloud / Service Cloud) Service Cloud Certification Required Skills Salesforce,apex,visual force

Stakeholder & Vendor Management Project Coordination & Execution Risk & Compliance Oversight Team Support & Development Reporting & Performance Analysis Agile Methodology PMP Waterfall Project management tools, data analysis techniques.

Data Engineer identifies the business problem and translates these to data services and engineering outcomes. You will deliver data solutions that empower better decision making and flexibility of your solution that scales to respond to broader business questions. key responsibilities As a Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts and data scientists to understand the business domain and engage with fellow engineers to build data products that empower better decision making. You are passionate about data quality of our business metrics and flexibility of your solution that scales to respond to broader business questions. If you love to solve problems using your skills, then come join the Team Searce. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself. Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML Understand the business problem and translate these to data services and engineering outcomes Explore new technologies and learn new techniques to solve business problems creatively Think big! and drive the strategy for better data quality for the customers Collaborate with many teams - engineering and business, to build better data products preferred qualifications Over 1-2 years of experience with Hands-on experience of any one programming language (Python, Java, Scala) Understanding of SQL is must Big data (Hadoop, Hive, Yarn, Sqoop) MPP platforms (Spark, Pig, Presto) Data-pipeline & schedular tool (Ozzie, Airflow, Nifi) Streaming engines (Kafka, Storm, Spark Streaming) Any Relational database or DW experience Any ETL tool experience Hands-on experience in pipeline design, ETL and application development Good communication skills Experience in working independently and strong analytical skills Dependable and good team player Desire to learn and work with new technologies Automation in your blood

This role involves the development and application of engineering practice and knowledge in designing, managing and improving the processes for Industrial operations, including procurement, supply chain and facilities engineering and maintenance of the facilities. Project and change management of industrial transformations are also included in this role. - Grade Specific Focus on Industrial Operations Engineering. Fully competent in own area. Acts as a key contributor in a more complex/ critical environment. Proactively acts to understand and anticipates client needs. Manages costs and profitability for a work area. Manages own agenda to meet agreed targets. Develop plans for projects in own area. Looks beyond the immediate problem to the wider implications. Acts as a facilitator, coach and moves teams forward. Skills (competencies)

Job Description About this role: Wells Fargo is seeking a Senior Analytics Consultant In this role, you will: Consult, review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors Perform moderately complex data analysis to support and drive strategic initiatives and business needs Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements Lead or participate on large cross group projects Mentor less experienced staff Collaborate and consult with peers, colleagues, external contractors, and mid-level managers to resolve issues and achieve goals Leverage a solid understanding of compliance and risk management requirements for supported area Required Qualifications: 4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Experience in Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Job Expectations: Design, develop, and maintain dashboards using Tableau and Qlik Sense. Build clean, intuitive, and responsive UIs tailored to end-user needs. Participate in data sourcing and transformation processes using SQL and other ETL tools. Develop and execute unit tests and assist with UAT processes for all developed reports. Ensure high quality and consistency across all visual outputs, performing QA prior to delivery. Collaborate with the technical lead and delivery leads to align on requirements and timelines. Support post-deployment monitoring and address production issues as needed. Continuously optimize dashboards for better performance and data refresh times. Follow SDLC protocols including documentation, testing, and change management procedures. Deliver timely and high-quality dashboards that meet business specifications. Demonstrate strong analytical thinking and attention to detail. Work in close coordination with a global team to support operational and strategic reporting. Participate in performance tuning and error resolution. Adapt to evolving technologies and tools as needed.

Job Title Snaplogic Experience 0-5Years Location Bangalore : Snaplogic

Job Title:Snowflake Developer Experience6-8 Years Location:Chennai - Hybrid : 3+ years of experience as a Snowflake Developer or Data Engineer. Strong knowledge of SQL, SnowSQL, and Snowflake schema design. Experience with ETL tools and data pipeline automation. Basic understanding of US healthcare data (claims, eligibility, providers, payers). Experience working with largescale datasets and cloud platforms (AWS, Azure,GCP). Familiarity with data governance, security, and compliance (HIPAA, HITECH).

Position: Senior Software Engineer Location: Hyderabad Duration: 12Months Job Type: Contract Work Type: Onsite Job Description : Analyzes business requirements/processes and system integration points to determine appropriate technology solutions. Designs, codes, tests and documents applications based on system and user requirements. Requirements: 6-8 years of relevant IT experience in Data-Warehousing Technologies with excellent communication and Analytical skills Should possess the below skillset experience Informatica 9 or above as an ETL Tool Teradata/Oracle/SQL Server as Warehouse Database Very strong in SQL / Macros Should know Basic ~ Medium UNIX Commands Knowledge on Hadoop- HDFS, Hive, PIG and YARN Knowledge on ingestion tool - Stream sets Good to have knowledge on Spark and Kafka Exposure in scheduling tools like Control-M Excellent analytical and problem-solving skills is a must have Excellent communication skills (oral and written) Must be experienced in diverse industry and tools and data warehousing technologies. Responsibilities: Prepares flow charts and systems diagrams to assist in problem analysis. Responsible for preparing design documentation. Designs, codes, tests and debugs software according to the clients standards, policies and procedures. Codes, tests and documents programs according to system standards. Prepares test data for unit, string and parallel testing. Analyzes business needs and creates software solutions. Evaluates and recommends software and hardware solutions to meet user needs. Interacts with business users and I/T to define current and future application requirements. Executes schedules, costs and documentation to ensure project comes to successful conclusion. Initiates corrective action to stay on project schedules. May assist in orienting, training, assigning and checking the work of lower-level employees. Leads small to moderate budget projects. Knowledge and Skills : Possesses and applies a broad knowledge of application programming processes and procedures to the completion of complex assignments. Competent to analyze diverse and complex problems. Possesses and applies broad knowledge of principles of applications programming. Competent to work in most phases of applications programming. Beginning to lead small projects or starting to offer programming solutions at an advanced level. Knowledge includes advanced work on standard applications programs including coding, testing and debugging. Advanced ability to effectively troubleshoot program errors. Advanced understanding of how technology decisions relate to business needs. Mandatory Skills: Informatica 9 or above as an ETL Tool Teradata/Oracle/SQL Server as Warehouse Database Very strong in SQL / Macros Should have good knowledge on UNIX Command

Total yrs of exp required- 7+ years Candidate need to be ready to WFO & also attend a F2F interview mandatorily candidate need to be ready to WFO & also attend a F2F interview mandatorily Detailed JD *(Roles and Responsibilities) Oracle PLSQL & Data Warehouse PL/SQL (Advanced) with ETL concepts on Datawarehouse (Advanced skill since the assumption is that the ETL tool will be complex in design) Work Location:- Bangalore/Chennai/Pune/Hyderabad Note: P.S.: Only PLSQL profiles will not work. The candidate should have good date warehouse concepts & hands-on. Will require a mandatory one-round of Face-to-Face interview prior to onboarding Share me your updated resume recruiter.wtr26@walkingtree.in

Job Area: Miscellaneous Group, Miscellaneous Group > Data Analyst Qualcomm Overview: Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. General Summary: About the Team Qualcomm's People Analytics team plays a crucial role in transforming data into strategic workforce insights that drive HR and business decisions. As part of this lean but high-impact team, you will have the opportunity to analyze workforce trends, ensure data accuracy, and collaborate with key stakeholders to enhance our data ecosystem. This role is ideal for a generalist who thrives in a fast-paced, evolving environment"”someone who can independently conduct data analyses, communicate insights effectively, and work cross-functionally to enhance our People Analytics infrastructure. Why Join Us? End-to-End Impact Work on the full analytics cycle"”from data extraction to insight generation"”driving meaningful HR and business decisions. Collaboration at Scale Partner with HR leaders, IT, and other analysts to ensure seamless data integration and analytics excellence. Data-Driven Culture Be a key player in refining our data lake, ensuring data integrity, and influencing data governance efforts. Professional Growth Gain exposure to multiple areas of people analytics, including analytics, storytelling, and stakeholder engagement. Key Responsibilities People Analytics & Insights Analyze HR and workforce data to identify trends, generate insights, and provide recommendations to business and HR leaders. Develop thoughtful insights to support ongoing HR and business decision-making. Present findings in a clear and compelling way to stakeholders at various levels, including senior leadership. Data Quality & Governance Ensure accuracy, consistency, and completeness of data when pulling from the data lake and other sources. Identify and troubleshoot data inconsistencies, collaborating with IT and other teams to resolve issues. Document and maintain data definitions, sources, and reporting standards to drive consistency across analytics initiatives. Collaboration & Stakeholder Management Work closely with other analysts on the team to align methodologies, share best practices, and enhance analytical capabilities. Act as a bridge between People Analytics, HR, and IT teams to define and communicate data requirements. Partner with IT and data engineering teams to improve data infrastructure and expand available datasets. Qualifications Required4-7 years experience in a People Analytics focused role Analytical & Technical Skills Strong ability to analyze, interpret, and visualize HR and workforce data to drive insights. Experience working with large datasets and ensuring data integrity. Proficiency in Excel and at least one data visualization tool (e.g., Tableau, Power BI). Communication & Stakeholder Management Ability to communicate data insights effectively to both technical and non-technical audiences. Strong documentation skills to define and communicate data requirements clearly. Experience collaborating with cross-functional teams, including HR, IT, and business stakeholders. Preferred: Technical Proficiency Experience with SQL, Python, or R for data manipulation and analysis. Familiarity with HR systems (e.g., Workday) and cloud-based data platforms. People Analytics Expertise Prior experience in HR analytics, workforce planning, or related fields. Understanding of key HR metrics and workforce trends (e.g., turnover, engagement, diversity analytics). Additional Information This is an office-based position (4 days a week onsite) with possible locations that may include India and Mexico Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

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? Software Developer - Data Integration Platform- Mumbai or Pune , Siemens Energy, Full Time Looking for challenging role? If you really want to make a difference - make it with us We make real what matters. About the role Technical Skills (Mandatory) Python (Data Ingestion Pipelines) Proficiency in building and maintaining data ingestion pipelines using Python. Blazegraph Experience with Blazegraph technology. Neptune Familiarity with Amazon Neptune, a fully managed graph database service. Knowledge Graph (RDF, Triple) Understanding of RDF (Resource Description Framework) and Triple stores for knowledge graph management. AWS Environment (S3) Experience working with AWS services, particularly S3 for storage solutions. GIT Proficiency in using Git for version control. Optional and good to have skills Azure DevOps (Optional)Experience with Azure DevOps for CI/CD pipelines and project management (optional but preferred). Metaphactory by Metaphacts (Very Optional)Familiarity with Metaphactory, a platform for knowledge graph management (very optional). LLM / Machine Learning ExperienceExperience with Large Language Models (LLM) and machine learning techniques. Big Data Solutions (Optional)Experience with big data solutions is a plus. SnapLogic / Alteryx / ETL Know-How (Optional)Familiarity with ETL tools like SnapLogic or Alteryx is optional but beneficial. We don't need superheroes, just super minds. A degree in Computer Science, Engineering, or a related field is preferred. Professional Software DevelopmentDemonstrated experience in professional software development practices. Years of Experience3-5 years of relevant experience in software development and related technologies. Soft Skills Strong problem-solving skills. Excellent communication and teamwork abilities. Ability to work in a fast-paced and dynamic environment. Strong attention to detail and commitment to quality. Fluent in English (spoken and written) We've got quite a lot to offer. How about you? This role is based in Pune or Mumbai , where 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. Find out more about Siemens careers at: www.siemens.com/careers

Position Summary: We are looking for an experienced Microsoft 365 Specialist to join our dynamic team for streamlining the enterprise Project data. The ideal candidate will possess a strong proficiency in Microsoft 365 applications and Generative AI tools, along with extensive knowledge of data governance principles. This role will focus on data aggregation, integration, and the development of a robust data architecture to ensure data integrity and accessibility across multiple digital projects in the organization. The candidate should be capable of acting as a developer to build a future-proof architecture that connects various data storage options in our Digital business groups. This would make our digital projects future-proof and AI implementation ready with respect to data flow, data quality and lead to overall operational excellence A Snapshot of your Day How You'll Make an Impact (responsibilities of role) Utilize the full suite of Microsoft 365 applications to streamline data & workflows across different Digital Projects and segments. Customization of the same (as required) will be needed. Act as a developer to build a future-proof architecture that connects various data storage options, including applications, cloud services, drives, and SharePoint etc. Designed architecture shall consolidate fragmented data from various sources to create a single, reliable source of truth for accurate reporting and analysis Integrate and leverage Generative AI tools, such as Co-Pilot, to improve data analysis and reporting capabilities Implement data governance policies, workflows and practices to ensure data quality, security, and compliance with relevant regulations Experience in data integration and transformation techniques, including ETL (Extract, Transform, Load) processes, to ensure data consistency and accuracy Collaborate with stakeholders to identify data needs and ensure accurate reporting and analysis Ensure data integrity and accessibility across the organization, enabling informed decision-making Communicate effectively with cross-functional teams and stakeholders to understand data requirements and deliver solutions that meet business needs Provide training and support to team members on data governance policies, procedures and required operability of Microsoft 365 tools Keep abreast of new features and capabilities in Microsoft 365 related to data governance. What You Bring Bachelor's/master's degree in information technology or computer science, or a related field. 8 to 10 years of experience in developing architectures for data governance. Proven experience with Microsoft 365 applications and Generative AI tools, like Co-Pilot Strong understanding of data governance principles, practices, and policies Experienced in utilizing a variety of database management systems and data exchange formats to optimize data storage, retrieval, and interoperability Knowledge of relevant industry regulations and standards . Proficiency in data architecture design Excellent communication skills, with the ability to convey complex concepts to non-technical stakeholders Strong problem-solving skills and the ability to work collaboratively in a dynamic team environment across the globe

Job TitleGrievance & Redressal Head - Fintech Industry DepartmentGrievance & Redressal LocationAndheri East Reports toCEO Job TypeFull-Time Job Overview: - The Grievance & Redressal Head in the Fintech industry will be responsible for overseeing the company's customer grievance handling and redressal process. - This role involves managing customer complaints and concerns related to fintech products and services, ensuring timely and fair resolution while maintaining high standards of customer satisfaction. - The individual will play a key role in identifying areas of improvement within the customer experience and work closely with other departments to improve operational processes. - This role is vital to maintaining the company's reputation and trust with customers, while ensuring compliance with regulatory standards. Key Responsibilities: Grievance Management and Redressal: - Lead and manage the company's grievance and complaint resolution process, ensuring that customer concerns are addressed in a fair, timely, and effective manner. - Oversee the intake, investigation, and resolution of customer complaints related to fintech services, including loans, payments, credit cards, and digital banking. - Ensure the proper categorization, tracking, and documentation of all grievances in the company's CRM or ticketing system. - Work to resolve complaints escalated by the customer service team, prioritizing high-impact issues and complex cases that require in-depth investigation. Policy and Process Development:- Develop and implement a comprehensive grievance redressal policy that aligns with industry regulations, consumer protection laws, and company values.- Continuously review and improve grievance handling processes to ensure they are efficient, customer-centric, and aligned with evolving customer needs and regulatory requirements.- Work closely with legal and compliance teams to ensure that all grievance resolution activities comply with fintech regulations and industry best practices. Customer Advocacy and Satisfaction:- Advocate for customers within the organization, ensuring that their concerns are addressed promptly and that appropriate steps are taken to prevent future issues.- Use customer feedback from grievance cases to identify systemic issues, recommend process improvements, and implement changes to prevent recurrence of similar complaints.- Maintain a customer-first mindset and work to preserve customer trust and satisfaction throughout the complaint handling process. Root Cause Analysis and Reporting:- Analyze recurring complaints and root causes to identify areas for improvement in product, service, and operational processes.- Generate detailed reports and dashboards on grievance trends, common issues, resolution timelines, and overall customer satisfaction.- Present findings and insights from grievance data to senior management, offering actionable recommendations for enhancing the customer experience. Team Leadership and Training:- Lead, mentor, and manage a team of grievance handling professionals, ensuring that they are equipped with the skills and resources to resolve customer complaints efficiently.- Develop and conduct training sessions for customer service and support teams to ensure they follow best practices in grievance management and are well-versed in escalation procedures.- Foster a culture of accountability, empathy, and customer-centricity within the grievance redressal team. Regulatory and Legal Compliance:- Ensure that all grievance redressal practices comply with applicable financial regulations and consumer protection laws, including those specific to fintech, digital lending, and payments.- Work closely with the legal and compliance teams to ensure timely responses to any regulatory inquiries or audits related to customer complaints.- Ensure that grievance handling processes align with industry standards and frameworks such as RBI's Ombudsman Scheme, data protection laws, and consumer rights. Cross-Functional Collaboration:- Collaborate with cross-functional teams, including product, operations, compliance, and marketing, to resolve grievances and ensure seamless communication across departments.- Provide feedback to product and operations teams regarding customer pain points or issues identified through grievances, influencing product improvements and process changes.- Coordinate with the customer success team to ensure that customer expectations are met and that complaints are prevented through proactive engagement.Qualifications and Skills: Education:- Bachelor's degree in Business, Communications, Finance, or a related field (Master's degree or certifications in customer service, conflict resolution, or compliance is a plus).Experience:- 5-8 years of experience in customer service, complaints management, or grievance redressal roles, with at least 3 years in a leadership position.- Experience working in the fintech or financial services sector is strongly preferred, with familiarity in managing complaints related to digital payments, lending, or financial products.- Proven experience in handling complex customer complaints, resolving disputes, and driving customer satisfaction improvements.- Knowledge of consumer protection laws, regulatory frameworks (e.g., RBI regulations, Data Privacy laws), and financial industry standards. Skills: - Excellent communication and interpersonal skills, with the ability to handle difficult conversations and negotiate win-win outcomes.- Strong analytical skills with the ability to identify trends, analyze data, and use insights to drive operational improvements.- Strong leadership abilities, with experience managing and motivating teams to achieve objectives.- Proficient in customer relationship management (CRM) software, ticketing systems, and data reporting tools.- A customer-centric approach, with empathy and problem-solving skills to address customer needs effectively.Personal Attributes:- Highly empathetic, with the ability to understand customer concerns and provide fair solutions.- Strong decision-making skills and the ability to handle high-pressure situations with professionalism and composure.- Excellent organizational skills with a keen eye for detail, ensuring all complaints are tracked and resolved in a timely manner.- Proactive and solution-oriented, with a focus on continuous improvement and operational efficiency.- High level of integrity, confidentiality, and commitment to upholding company values and customer trust.Benefits:- Health Insurance.- Opportunities for professional development and growth.- Flexible work arrangements (depending on company policy).- A dynamic and supportive work environment focused on customer satisfaction and operational excellenceApplySaveSaveProInsights

Senior Manager - Data Analytics About the job: Experience5-8 Years LocationMumbai-Andheri Employment TypeFull-Time About Us: We are a dynamic fintech firm dedicated to revolutionizing the financial services industry through innovative data solutions. We believe in leveraging cutting-edge technology to provide superior financial products and services to our clients. Join our team and be a part of this exciting journey. Job Overview: - We are looking for a skilled Data Engineer with 3-5 years of experience to join our data team. - The ideal candidate will have a strong background in ETL processes, data pipeline creation, and database management. - As a Data analytics, you will be responsible for designing, developing, and maintaining scalable data systems and pipelines. Key Responsibilities: - Design and develop robust and scalable ETL processes to ingest and process large datasets from various sources. - Build and maintain efficient data pipelines to support real-time and batch data processing. - Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. - Optimize database performance and ensure data integrity and security. - Troubleshoot and resolve data-related issues and provide support for data operations. - Implement data quality checks and monitor data pipeline performance. - Document technical solutions and processes for future reference. Required Skills And Qualifications: - Bachelor's/Master's degree in Engineering, or a related field. - 3-5 years of experience in data engineering or a related role. - Strong proficiency in ETL tools and techniques. - Experience with SQL and relational databases (MySQL, PostgreSQL). - Familiarity with big data technologies. - Proficiency in programming languages such as Python, Java, or Scala. - Knowledge of data warehousing concepts and tools. - Excellent problem-solving skills and attention to detail. - Strong communication and collaboration skills. Preferred Qualifications: - Experience with data visualization tools (Tableau, Power BI). - Knowledge of machine learning and data science principles. - Experience with real-time data processing and streaming platforms (Kafka). What We Offer - Competitive compensation package (10-15 LPA) based on experience and qualifications. - Opportunity to work with a talented and innovative team in the fintech industry. - Professional development and growth opportunities. Apply Save Save Pro Insights

Diverse Lynx is looking for Mulesoft Developer to join our dynamic team and embark on a rewarding career journey Ability in implementing Mule recommended best practices and solution, meeting the acceptance criteria; Conducts reviews of developed code; End to End Testing; Develop and guide the team members in enhancing their technical capabilities and increasing productivity; Requirement understanding; Designs ETL processes using Informatica Power Center; Provide estimates for development; Provide on-call and after hours support for production systems; Adaptable to challenging environment; Gather requirements to define data definitions, transformation logic, and data model logical and physical designs, data flow and process; Take ownership of projects and manage statuses and timelines effectively; Perform data analysis and data profiling against source systems; To be responsible for providing technical guidance / solutions; Unit testing covering positive & negative scenarios Maintain up-to-date JIRA status Candidate should have minimum 5 years of experience with Mulesoft. Candidate should have some coding experience. Candidates communication skill should be top notch

Diverse Lynx is looking for Datastage Developer to join our dynamic team and embark on a rewarding career journey Analyzing business requirements and translating them into technical specifications Designing and implementing data integration solutions using Datastage Extracting, transforming, and loading data from various sources into target systems Developing and testing complex data integration workflows, including the use of parallel processing and data quality checks Collaborating with database administrators, data architects, and stakeholders to ensure the accuracy and consistency of data Monitoring performance and optimizing Datastage jobs to ensure they run efficiently and meet SLAs Troubleshooting issues and resolving problems related to data integration Knowledge of data warehousing, data integration, and data processing concepts Strong problem-solving skills and the ability to think creatively and critically Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders

Millennium Management LLC is looking for Business Intelligence Specialist to join our dynamic team and embark on a rewarding career journey. Diagnosing and treating illnesses, medical conditions, and injuries. Ordering, performing, and interpreting diagnostic tests. Collecting, recording, and maintaining patients' information and histories. Prescribing and administering treatments, therapies, medications, vaccinations, and other specialized medical care. Explaining procedures and discussing test results or prescribed treatments with patients and family members. Monitoring patients' conditions and progress. Directing, coordinating, consulting with, and referring patients to nurses, students, assistants, specialists, therapists, and other medical staff. Advising patients, parents, and guardians on diets, activities, hygiene, and disease prevention. Conducting research and remaining up to date on current trends, discoveries, and developments in the field

4+ yrs experience Work from Office - 1st preference Kochi, 2nd preference Bangalore Good exp in any EtL tool Good knowledge in python Integration experience Good attitude and Cross skilling ability

Key Responsibilities : Lead the design and development of scalable data pipelines using PySpark and ETL frameworks on Google Cloud Platform (GCP) . Own end-to-end data architecture and solutions, ensuring high availability, performance, and reliability. Collaborate with data scientists, analysts, and stakeholders to understand data needs and deliver actionable insights. Optimize complex SQL queries and support advanced data transformations. Ensure best practices in data governance, data quality, and security . Mentor junior engineers and contribute to team capability development. Requirements : 8+ years of experience in data engineering roles. Strong expertise in GCP data services (BigQuery, Dataflow, Pub/Sub, Composer, etc.). Hands-on experience with PySpark and building ETL pipelines at scale. Proficiency in SQL with the ability to write and optimize complex queries. Solid understanding of data modeling, warehousing, and performance tuning. Experience with CI/CD pipelines, version control, and infrastructure-as-code is a plus. Excellent problem-solving and communication skills. Preferred Qualifications : GCP Certification (e.g., Professional Data Engineer). Experience with Airflow, Kubernetes, or Terraform.

Exp 7+ yrs - 10 yrs Work Location – Pune/Chennai/Mumbai/Bangalore Notice Period : Imm - 30 days Primary Skills : MSBI, SSIS, SQL , SQL Server. Sharing JD for your reference : 1. SQL/ETL Developer with 7 to 10 years of experience in Microsoft SQL Server database development and ETL(SSIS/MSBI) 2. Must be proficient in developing stored procedures, triggers, SQL jobs, and SSIS packages and performance tuning. 3. Agile experience is a must. 4.Must adhere SDLC process and be good team player.

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Mandatory Skills: SQL Server. Experience3-5 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters ? Mandatory Skills DataIku for ETL operations and preferably other ETL tools like Informatica. Good in Python Coding, SQL, GIT Proven experience as a Data Engineer, Data Integration, Data Analyst. Preferred Skills Banking Domain exposure and AI/ML, Data Science exposure ? 7+ years of experience, including 2+ years of experience in delivering projects in DataIku platforms. Proficiency in configuring and optimizing Dataiku’s architecture, including data connections, security settings and workflow management. Hands-on experience with Dataiku recipes, Designer nodes, API nodes & Automation nodes with deployment. Expertise in python scripting, automation and development of custom workflows in Dataiku Collaborate with data analyst, business stakeholders and client to gather and understand the requirement. To contribute to the developments in DataIku environment to apply data integration with given logic to fulfil Bank Regulatory requirement and other customer requirement. Gather, analyse and interpret requirement specifications received directly from the client. Ability to work independently and effectively in a fast-paced, dynamic environment. Strong analytical and problem-solving skills. Familiarity with agile development methodologies. Participate in the CR/Production deployment implementation process through Azure DevOps ? ? Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Key Responsibilities ETL Development & AI Data Pipelines: Design and develop ETL processes to extract, transform, and load data from various sources for ML model training and inference Create data pipelines that can efficiently handle structured and unstructured data for AI applications Work with data scientists to implement feature engineering transformations at scale Machine Learning Operations: Assist in developing automated ML workflows for model training, evaluation, and deployment Implement basic model monitoring and observability solutions Create scripts to automate data preparation for ML model development Python Development: Write efficient Python scripts leveraging data science and ML libraries (pandas, scikit-learn, etc.) Develop reusable code modules for data processing and basic ML operations Maintain and optimize existing Python codebases Automation & Orchestration: Build automation frameworks to streamline ML model deployment and monitoring Implement data validation tests to ensure data quality for ML models Create workflow orchestration solutions for end-to-end ML pipelines Collaboration: Work closely with data scientists to understand model requirements and implementation needs Collaborate with cross-functional teams to integrate ML solutions into business applications Participate in code reviews and knowledge sharing sessions Qualifications Education: Bachelor's degree in Computer Science, Data Science, Information Technology, or related field Relevant certifications in data engineering, machine learning, or cloud technologies are a plus Experience: 1-2 years of experience in ETL development, Python programming, and data engineering Exposure to machine learning workflows and basic ML operations Experience with ETL tools such as Apache NiFi, Talend, or similar platforms Technical Skills: Proficiency in Python with experience using data processing libraries (pandas, NumPy) Knowledge of ML libraries like scikit-learn, TensorFlow, or PyTorch Experience with SQL and relational databases Basic understanding of cloud data services (AWS, Azure, or GCP) Familiarity with version control systems (Git) and CI/CD concepts Understanding of data quality practices for ML applications Soft Skills: Strong problem-solving abilities and analytical mindset Good communication skills and ability to work in cross-functional teams Self-motivated with eagerness to learn new technologies Primary Skill Set ETL & Data Pipeline Development: 1-2 years Designing and implementing data pipelines for analytics and ML Experience with ETL tools and data integration patterns Ability to handle various data formats and sources Python Programming & ML Libraries: 1-2 years Proficiency in Python with focus on data manipulation and processing Experience with pandas, NumPy, and scikit-learn Basic knowledge of ML frameworks (TensorFlow/PyTorch) Machine Learning Operations: 0-1 year Basic understanding of ML model deployment workflows Experience with model serving and monitoring Knowledge of feature engineering techniques Data Management for AI Applications: 1-2 years Experience with datasets preparation for machine learning Knowledge of data quality and validation techniques Understanding of data versioning and lineage tracking Automation & Orchestration: 1-2 years Experience building automated workflows for data processing Knowledge of workflow orchestration tools (Airflow, Prefect, etc.) Ability to implement testing frameworks for data pipelines