67 Data Solutions Jobs

Roles & Responsibilities As a Senior Analytics Engineer, you will lead efforts to develops calable data solutions that enhance feature-level insights, user engagement measurement, and decision-making for the Product Analytics team. You will build and optimize data pipelines, semantic layers, and dashboard sto deliver actionable insights on howusers interact with in-app features, content discovery, and engagement-driving elements. Design and implement scalable data models that support flexible querying, feature attribution , and behavioral analytics for self-serve and advanced analytics. Partner with Product Analytics stakeholders to understand business needs and develop robust analytical solutions, focusing on in-app engagement, navigation, and personalization signals . Strong understanding of SDKs and event stream data to craft analytics instrumentation proposals for new features, ensuring robust data collection and alignment with business objectives. Advance automation efforts , enabling the team to spend less time on manual data validation and more on insights generation. Leverage machine learning & statistical modeling techniques to enhance feature performance tracking, user segmentation, and predictive analytics. Develop frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage. Optimize data processing pipelines and ETL workflows , ensuring data accuracy and consistency across multiple sources. Improve experimentation infrastructure by enabling better A/B test measurement, control-group analysis, and impact assessments. Set goals and targets for Core Product OKRs by leveraging advanced data science methodologies, machine learning models, and statistical forecasting techniques to drive product engagement and retention strategies. Create systematic solutions for solving data anomalies , including anomaly detection, root cause analysis, and proactive alerting. Work with cross-functional teams , including data science, personalization, and content teams, to drive data governance, experimentation analytics, and dashboarding strategies . Identify and explore new opportunities through creative analytical and engineering methods , ensuring robust and scalable solutions for evolving business needs. Technical Skills 5+ years of experience in analytics engineering, data science, or data engineering, preferably in streaming, digital products, or consumer analytics . Advanced SQL skills with expertise in writing clean, efficient queries for large-scale analytics. Experience in designing scalable data models (e.g., feature attribution, user segmentation, behavioral cohorts). Proficiency in Python for data manipulation, automation, and statistical modeling. Experience with machine learning techniques , such as clustering, regressions, decision trees, and classification models to enhance feature-level insights. Experience with big-data technologies , such as Spark, Hive, Kafka, Airflow, or Snowflake . Advanced experience with BI tools , such as Looker, Tableau, or Mode , for building interactive dashboards and self-serve analytics solutions. Familiarity with A/B testing frameworks and experimentation methodologies for measuring product feature performance. Experience working with event-based data and optimizing data pipelines for behavioral tracking and feature usage analysis . Strong understanding of statistical analysis , such as hypothesis testing, significance testing, and probability distributions. Business & Product Analytics Skills Deep understanding of streaming product analytics , including content engagement, recommendation effectiveness, and user navigation trends . Experience in feature attribution modeling , enabling accurate assessment of how product features drive engagement. Knowledge of user segmentation frameworks , including habituality, content diversity, and personalization effectiveness. Ability to define and track product success metrics , identifying trends in feature adoption, engagement drivers, and content discovery pathways . Soft Skills Strong written and verbal communication skills , with the ability to translate complex findings into actionable insights. Ability to manage multiple projects , working cross-functionally across data engineering, analytics, and product teams. Strong organizational skills , capable of acting independently while managing competing priorities. Proactive problem-solver , with a keen eye for detail and a passion for improving self-serve analytics.

As a Senior Associate of Investment Data and Reporting at Oaktree, your role will involve overseeing the curation of deal data throughout the investment life cycle, focusing on credit instruments and markets. Your responsibilities will include: - Data Validation and Exception Management: - Partnering with investment professionals to streamline deal monitoring templates and disseminate initial deal data and amendments. - Adhering to and enhancing controls frameworks for data sets related to portfolio companies, transactions, and holdings. - Validating and enriching quantitative and qualitative deal-data throughout the investment life cycle. - Centrally managing entity mastering for private companies. - Technology-enabled Reporting: - Creating and maintaining reporting views in data lakes. - Utilizing Python, SQL, and data visualization tools to manage and manipulate large data sets. - Supporting the implementation of process changes, automated reports, and technology systems. - Partnership & Innovation: - Collaborating with organizational partners to ensure robust data production. - Partnering with citizen developer teams on technology-enabled reporting activities. - Identifying opportunities for creating superior data solutions and building efficiencies. Your qualifications should include: - 7+ years of relevant technical experience in data lake/data warehouse technologies. - Solid knowledge of alternative investments and relevant reporting/dashboard outputs. - Strong technical skills with data warehousing and integration technologies. - Experience building dashboards and data visualizations. - Expertise in software development languages/frameworks like Python, Scala/Spark. - Familiarity with cloud-based data services and platforms. In addition to technical expertise, personal attributes such as being a self-starter, strong interpersonal skills, problem-solving abilities, attention to detail, and passion for improving systems and processes are essential for success in this role. A Bachelor's degree in Engineering, Computer Science, Finance, Information Systems, or related areas is required. Oaktree is committed to fostering an environment that is collaborative, inclusive, and values diversity of thought. Training, career development opportunities, and philanthropic initiatives are integral to the company culture. Please note the Equal Opportunity Employment Policy, and for positions based in Los Angeles, Oaktree will consider qualified applicants with a criminal history in accordance with the law.,

As a Senior Associate of Investment Data and Reporting at Oaktree, you will play a crucial role in overseeing the curation of deal data throughout the investment life cycle, particularly focusing on credit instruments and markets. Your responsibilities will include: - Data Validation and Exception Management: - Partner with investment professionals to streamline deal monitoring templates and centralize dissemination of initial deal data and amendments to downstream constituents of the data. - Adhere to and enhance controls frameworks for the definition, ingestion, curation, calculation, review, and use of portfolio company, transaction, and holdings-related data sets. - Validate and enrich quantitative and qualitative deal-data throughout the investment life cycle, working closely with business partners to rectify any errors. - Centrally manage entity mastering for private companies together with Data Solutions and Technology teams. - Ensure accurate, complete, reliable, and investor-ready data is available for use across the reporting suite. - Build and maintain highest quality fixed income data in collaboration with data management, investment operations, and analytics teams. - Leverage software tools to streamline data capture for portfolio monitoring, loan administration, valuation, and reporting. - Technology-enabled Reporting: - Create and maintain reporting views in data lakes reflecting gold-source investment-related data sets. - Utilize Python, SQL, and data visualization tools to manage and manipulate large data sets and create standardized reports or dashboards. - Support the implementation of process changes, automated reports, and technology systems to generate standard and recurring reporting. - Leverage reporting and systems knowledge to gather and document implementation requirements. - Partnership & Innovation: - Collaborate with organizational partners to ensure robust data and the advancement of RR&A deliverables. - Partner with citizen developer teams on the strategic development and tactical execution of technology-enabled reporting activities. - Identify and capture opportunities to create superior data solutions and build efficiencies through process and technological improvements. Required Experience: - 5+ years of relevant technical experience in data lake/data warehouse technologies. - Solid knowledge of alternative investments and reporting/dashboard outputs. - Strong technical skills with data warehousing and integration technologies. - Experience in data modeling and building dashboards using Tableau, Power BI, or other platforms. - Expertise in software development using languages/frameworks such as Python, Scala/Spark. - Familiarity with cloud-based data services and platforms. - Track record of leading solution delivery of end-to-end data projects. - Familiarity with Agile project management methodology. - Availability to work during U.S. PST and India IST working hours. Personal Attributes: - A self-starter with the ability to operate independently and collaboratively. - Strong interpersonal and communication skills. - A natural problem solver with attention to detail. - Passion for improving systems and processes. - Strong integrity and professionalism. Education: - Bachelor's degree required. Engineering, Computer Science, Finance, Information Systems, or related areas of study preferred. Oaktree is committed to providing Equal Opportunity Employment. For positions based in Los Angeles, the firm will consider applicants with a criminal history in accordance with applicable laws.,

As a Senior Associate People Senior Associate L2 in Data Engineering, you will play a crucial role in translating client requirements into technical designs and implementing various components for data engineering solutions. Your expertise in utilizing a diverse range of technologies and tools will be essential in developing robust data engineering solutions that meet the clients" needs efficiently. Key Responsibilities: - Translate client requirements into technical design specifications - Implement components for data engineering solutions - Utilize a diverse range of technologies and tools for data engineering projects - Collaborate with cross-functional teams to ensure successful project delivery - Conduct testing and debugging to ensure the quality and performance of data engineering solutions - Provide support and maintenance for existing data engineering solutions Qualifications Required: - Bachelor's degree in Computer Science, Engineering, or related field - Proven experience in data engineering and implementing data solutions - Proficiency in programming languages such as Python, Java, or Scala - Strong understanding of data modeling, ETL processes, and data warehousing concepts - Experience with big data technologies such as Hadoop, Spark, or Kafka - Excellent problem-solving skills and attention to detail If any additional details about the company are provided in the job description, please provide them.,

As an intern at Venera Technologies, you will have the opportunity to work on various data science projects in the video analytics domain. Your day-to-day responsibilities will include understanding data requirements and implementing effective data solutions. You will be responsible for data generation and data sanitization for model training using various methods and tools. Additionally, you will be tasked with model evaluation and assisting the team in fine-tuning the model parameters using various metrics and techniques. Your role will also involve applying statistical techniques for data analysis to derive meaningful insights. Venera Technologies is a renowned video solutions company recognized for its innovative products and solutions worldwide. Our automated QC solutions, "Pulsar" and "Quasar", are utilized by leading broadcast, post-production, and media companies such as Disney, HBO, AMC Networks, NBC Universal, MLB Advanced Media, Telecom Italia, and Adstream. Furthermore, we have established partnerships with prominent technology firms including Aspera, Evertz, Netflix, and Telestream, who have seamlessly integrated with our products.,

You are a highly skilled Snowflake Developer with extensive experience in designing, implementing, and managing Snowflake-based data solutions. Your role will involve developing data architectures and ensuring the effective use of Snowflake to drive business insights and innovation. Your key responsibilities will include designing and implementing scalable, efficient, and secure Snowflake solutions to meet business requirements. You will also develop data architecture frameworks, standards, and principles, including modeling, metadata, security, and reference data. In addition, you will implement Snowflake-based data warehouses, data lakes, and data integration solutions, and manage data ingestion, transformation, and loading processes to ensure data quality and performance. Collaboration with business stakeholders and IT teams to develop data strategies and ensure alignment with business goals will be crucial. Furthermore, you will drive continuous improvement by leveraging the latest Snowflake features and industry trends. To qualify for this role, you should have a Bachelors or Masters degree in Computer Science, Information Technology, Data Science, or a related field, along with 8+ years of experience in data architecture, data engineering, or a related field. You must possess extensive experience with Snowflake, including designing and implementing Snowflake-based solutions. Exposure working in Airflow is also required, along with a proven track record of contributing to data projects and working in complex environments. Familiarity with cloud platforms (e.g., AWS, GCP) and their data services is preferred. A Snowflake certification (e.g., SnowPro Core, SnowPro Advanced) would be a plus.,

At American Express, our culture is built on a 175-year history of innovation, shared values, and Leadership Behaviors, with an unwavering commitment to supporting our customers, communities, and colleagues. As a member of Team Amex, you will experience comprehensive support for your holistic well-being and numerous opportunities to enhance your skills, develop as a leader, and advance your career. Your voice and ideas are valued, your work creates an impact, and together, we will shape the future of American Express. In this role, you will play a crucial part in American Express's journey to deliver the best customer experience worldwide. As a part of the Commercial Data Office (CoDO) team in Global Commercial Services (GCS), your focus will be on leveraging data to drive exceptional customer experiences and business growth. CoDO is instrumental in enhancing GCS strategy amidst evolving regulatory landscapes and ongoing data utilization innovations. Collaborating with teams across American Express, CoDO is entrusted with designing innovative data solutions for customers while upholding regulatory compliance and data management best practices. The Analyst, Process & Controls position is pivotal in supporting Data Risk Management requirements for Commercial Data Office and Global Commercial Services. Your responsibilities will include analyzing key control measures, developing reports, and monitoring outcomes. Reporting to the Manager, Process & Controls within CoDO, you will assist in transitioning processes and measurements to the new Enterprise Operational Risk Management framework, provide analysis and support for CoDO team members in aligning with data risk policies, contribute to the development of new control measures and monitoring reports, offer extensive support to stakeholders in compliance activities, ensure GCS complies with AXP defined Control Metrics, identify specific risks within business processes and systems, categorize controls, and maintain comprehensive documentation. Adherence to ad hoc compliance & risk management initiative SLAs is also a critical aspect of this role. **Responsibilities:** - Support transition of processes and measurements to new Enterprise Operational Risk Management framework. - Provide analysis and support for CoDO team members in adherence to data risk policies. - Assist in the development of new control measures and monitoring reports. - Provide extensive support to stakeholders through various compliance activities and ensure GCS is within threshold for AXP defined Control Metrics. - Assist in identifying specific risks throughout business processes and systems. - Categorize controls and map against risks and processes (e.g., process-control mapping). - Create and maintain comprehensive documentation. - Adhere to ad hoc compliance & risk management initiative SLAs. **Minimum Qualifications:** - **Academic Background:** Bachelor's degree in accounting, Finance, Business, Risk Management, or an equivalent field. - **Functional Skills/Capabilities:** Strong attention to detail, trouble-shooting and problem-solving skills, effective communication, multi-tasking abilities, critical thinking. - **Technical Skills/Capabilities:** Strong experience in MS Office and collaboration tools (Confluence, Jira, Rally). **Preferred Qualifications:** - Tableau and other analytic tools knowledge are preferred. American Express provides a range of benefits and programs to support the well-being of colleagues and their loved ones, prioritizing physical, financial, and mental health at every life stage. Benefits include competitive base salaries, bonus incentives, financial-well-being and retirement support, comprehensive medical, dental, vision, life insurance, and disability benefits, flexible working models, generous paid parental leave policies, access to global on-site wellness centers, confidential counseling support, and career development opportunities. Please note that an offer of employment with American Express is subject to the successful completion of a background verification check in accordance with applicable laws and regulations.,

As an Energy-as-a-Service provider, Redaptive funds and installs energy-saving and energy-generating equipment to assist sophisticated organizations in reducing energy waste, saving money, lowering carbon emissions, and achieving sustainability goals throughout their real estate portfolios. By partnering with Redaptive, customers can efficiently access energy-saving benefits while overcoming capital and contractual obstacles, with the added advantage of real-time data insights from Redaptive's proprietary Data Solutions metering platform. Established in 2015 and headquartered in Denver, CO, Redaptive is supported by reputable investors including CarVal, ENGIE New Ventures, Linse Capital, CBRE, Evergy Ventures, Rabobank, CPP Investments, and Honeywell. Our company culture thrives on excitement, collaboration, and a fast-paced environment. We are deeply committed to making a positive impact on the world by assisting our customers in becoming more environmentally sustainable and profitable. We are seeking team members who are ambitious, enthusiastic, and eager to tackle a variety of challenges to contribute to the growth of our dynamic organization. Redaptive, Inc. is an equal employment opportunity employer, and all qualified candidates will be considered for employment opportunities. Visit www.redaptive.com for more details. Redaptive values diversity and is dedicated to fostering an inclusive workplace environment that celebrates the unique contributions of all employees.,

As a Lead Engineer in the Platform Engineering team at Mastercard, you will play a crucial role in spearheading database initiatives for a high-performing engineering team. Your expertise will be pivotal in deploying and managing various database technologies in test and production environments for global products. If you are a natural problem solver with a strong affinity towards automation and possess a deep understanding of database management best practices, then this role is perfect for you. You will be responsible for championing database engineering best practices, governance, and standards within Mastercard's Business Systems and Operations worldwide. Your role will involve working closely with global teams across diverse geographies, requiring exceptional communication skills and the ability to collaborate effectively with team members located in various regions. Key responsibilities will include expert-level knowledge and implementation of database management, including installation, space management, backup and recovery, replication, performance monitoring, and troubleshooting. You will be expected to demonstrate advanced expertise in RDBMS, particularly Oracle and PostgreSQL, with additional experience in NoSQL databases being preferred. Your role will also involve deep understanding and implementation of security standards and best practices for database platforms, as well as hands-on experience in database tuning and troubleshooting. Furthermore, you will be required to provide technical leadership and guidance, mentor others in Oracle and PostgreSQL database tuning, replication, and administration, and align database strategy with business goals. Your ability to design and implement complex data solutions, identify bottlenecks in locks and waits, and implement proactive monitoring of all databases will be crucial for ensuring optimal performance and user experience. In addition to technical expertise, strong verbal and written communication skills are essential for building awareness and proactively promoting the DBA's position in support of sound database structures, data governance, and corporate strategies. Your role will also involve multitasking, prioritizing efforts effectively, and providing excellent customer service to internal business partners. If you are someone with an entrepreneurial spirit, embrace critical thinking, innovation, customer service, and continuous improvement, and have a Bachelor's Degree in Information Systems or equivalent experience, we encourage you to apply for this challenging and rewarding position at Mastercard.,

You are an accomplished and dynamic Data Engineering Lead with 7 to 10 years of experience in data engineering, specializing in data pipeline development, architecture, and system optimization. Your proven track record includes leading data engineering teams and successfully managing end-to-end project delivery. Your technical expertise includes proficiency in programming languages such as Python or Scala, designing and delivering data pipelines in Cloud Data Warehouses (e.g., Snowflake, Redshift) using ETL/ELT tools like Matillion, dbt, Striim, etc. You have a solid understanding of database systems (relational and NoSQL), data modeling techniques, and hands-on experience in designing and developing data integration solutions using tools like Matillion and/or dbt. You are well-versed in data engineering and integration frameworks, architecting data solutions, implementing end-to-end projects with multiple transformation layers, defining coding standards and testing strategies, working with cloud platforms (AWS, Azure, GCP) and associated data services, Agile methodology, DevOps processes, containerization (Docker), orchestration tools (Airflow, Control-M), and CI/CD pipelines. As the Lead Data Engineer, you will be responsible for architecting, designing, and implementing end-to-end data pipelines and systems, ensuring optimal system architecture for performance, scalability, and reliability, evaluating and integrating new technologies, and implementing best practices in ETL/ELT processes, data integration, and data warehousing. You will lead technical project execution, collaborate with cross-functional teams, act as the primary point of contact for clients, manage and mentor a team of 5 to 7 data engineers, and optimize existing data workflows for performance and cost-efficiency. Your adaptability, innovation, and client collaboration skills will be crucial as you embrace a consulting mindset, identify opportunities for innovation, engage with stakeholders, present technical concepts to both technical and non-technical audiences, and stay updated with emerging data technologies. You will drive internal initiatives, contribute to the organization's eminence, and continuously learn, innovate, and collaborate to deliver impactful, scalable data solutions in a fast-paced consulting environment.,

About KPMG in India KPMG entities in India are professional services firm(s) affiliated with KPMG International Limited, established in India in August 1993. Our professionals leverage the global network of firms and possess in-depth knowledge of local laws, regulations, markets, and competition. With offices spread across India in cities like Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada, KPMG entities in India offer services to national and international clients across various sectors. We aim to provide rapid, performance-based, industry-focused, and technology-enabled services that demonstrate our understanding of global and local industries and our experience in the Indian business environment. Equal employment opportunity information Job Description: We are looking for a highly skilled Senior Data AWS Solutions Engineer to join our dynamic team. The ideal candidate should have substantial experience in designing and implementing data solutions on AWS, utilizing cloud services to drive business outcomes. The candidate must have hands-on experience in implementing solutions like Data Lake or involvement in technical architecture reviews and discussions. Previous knowledge of the Automobile or Banking sector would be advantageous. Key Responsibilities: - Design, develop, and implement scalable data architectures on AWS. - Collaborate with cross-functional teams to gather requirements and translate them into technical solutions. - Optimize data storage and processing using AWS services such as S3, Glue, RDS, and Lambda. - Ensure data security, compliance, and best practices in data management. - Troubleshoot and resolve data-related issues and performance bottlenecks. - Mentor junior engineers and contribute to team knowledge sharing. - Stay updated with the latest AWS services and industry trends to recommend improvements. Qualifications: - Bachelor's degree in Computer Science, Engineering, or related field. - 8+ years of experience in data engineering or solutions architecture, focusing on AWS. - Proficiency in AWS data services, ETL tools, and data modeling techniques. - Strong programming skills in Python, Pyspark Java, or similar languages. - Experience with data warehousing and big data technologies (e.g., Hadoop, Spark). - Excellent problem-solving, consulting, and analytical skills. - Strong communication and collaboration abilities. - Stakeholder Management and leading teams. Preferred Qualifications: - AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics). - Experience with containerization (Docker, Kubernetes). - Knowledge of machine learning and data science principles. Join us to apply your expertise in AWS and data engineering to develop innovative solutions that drive our business forward.,

You are a highly skilled Snowflake Developer with extensive experience in designing, implementing, and managing Snowflake-based data solutions. Your role involves developing data architectures and ensuring the effective use of Snowflake to drive business insights and innovation. Key Responsibilities: - Design and implement scalable, efficient, and secure Snowflake solutions to meet business requirements. - Develop data architecture frameworks, standards, and principles, including modeling, metadata, security, and reference data. - Implement Snowflake-based data warehouses, data lakes, and data integration solutions. - Manage data ingestion, transformation, and loading processes to ensure data quality and performance. - Collaborate with business stakeholders and IT teams to develop data strategies and ensure alignment with business goals. - Drive continuous improvement by leveraging the latest Snowflake features and industry trends. Qualifications: - Bachelors or Masters degree in Computer Science, Information Technology, Data Science, or a related field. - 6+ years of experience in data architecture, data engineering, or a related field. - Extensive experience with Snowflake, including designing and implementing Snowflake-based solutions. - Exposure working in Airflow is a must. - Proven track record of contributing to data projects and working in complex environments. - Familiarity with cloud platforms (e.g., AWS, GCP) and their data services. - Snowflake certification (e.g., SnowPro Core, SnowPro Advanced) is a plus.,

As the IT Business Partner, Consulting International, you will play a crucial role in bridging the gap between business stakeholders and IT by ensuring that technology solutions align with organizational goals and client needs. Your responsibilities will involve expertise in digital, mobile, and data solutions, as well as staying updated on emerging technologies like Gen AI. You will be tasked with driving innovation, managing project timelines, and maintaining effective communication with stakeholders to deliver scalable and future-ready solutions that enhance business outcomes. Your key responsibilities will include: - Strategic Business Alignment: Collaborate with business stakeholders to identify technology needs and develop actionable IT strategies aligned with business objectives. Maintain a technology roadmap emphasizing data, digital tools, and cloud-based SaaS solutions. - Project & Stakeholder Management: Lead end-to-end project delivery for digital initiatives, ensuring adherence to timelines, budgets, and quality standards. Communicate proactively with stakeholders and manage relationships with external technology partners and vendors. - Technical Execution & Oversight: Provide hands-on guidance in solution design, oversee Agile/Scrum methodologies, and conduct rigorous testing and validation of solutions to ensure alignment with business needs. - Operational Excellence: Monitor post-implementation performance, address issues promptly, and optimize systems for continuous improvement. Ensure compliance with IT governance frameworks and organizational policies. To excel in this role, you should possess expertise in data and digital solutions, cloud technologies, technical acumen in APIs, microservices, and DevOps practices, as well as proficiency in Agile methodologies and tools like Jira and Trello. Additionally, you should demonstrate strong negotiation, presentation, and stakeholder management skills. The ideal candidate will have 5+ years of experience in IT business partnering, digital transformation, or solution architecture roles, with a track record of managing cross-functional teams and vendor partnerships. A Bachelor's degree in Computer Science or related field is required, along with certifications in Agile, cloud platforms, or mobile development. An MBA or PMP/PRINCE2 certification is preferred. Strong communication skills in English and moderate travel requirements (25%) are also necessary for this role. This job description serves as a guideline for your responsibilities and may be subject to regular review and updates.,

Are you a data enthusiast with a passion for analytics We are seeking a Data Engineer Financial Analytics Specialist to join our Data and Analytics team at RWS. This role combines advanced technical skills in SQL and ETL with analytical thinking and financial business acumen. You will be instrumental in designing and implementing data transformations and pipelines to support complex business requirements, particularly in financial data systems. This is a hands-on technical role with a significant focus on problem-solving, mathematical reasoning, and creating solutions for intricate business processes. This position is ideal for someone with a quantitative background in computer science, mathematics, or a related field, who thrives on developing innovative solutions, optimizing data workflows, and ensuring data accuracy. We are looking for a candidate who is self-motivated, detail-oriented, and possesses exceptional technical skills, alongside a strong sense of ownership and accountability. The primary focus of this role will be financial data projects within a collaborative and dynamic team environment. Key Responsibilities SQL Development: Write advanced T-SQL queries, stored procedures, and functions to handle complex data transformations, ensuring optimal performance and scalability. Perform query performance optimization, including indexing strategies and tuning for large datasets. Data Engineering: Design, develop, and maintain ETL/ELT pipelines using tools like SSIS, ADF, or equivalent, ensuring seamless data integration and transformation. Build and automate data workflows to support accurate and efficient data operations. Business and Financial Data Solutions: Collaborate with stakeholders to understand financial business processes and requirements. Develop tailored data solutions to address challenges such as cost allocation, weighted distributions, and revenue recognition using mathematical and logical reasoning. Problem-Solving and Analysis: Conduct root cause analysis for data issues, resolving them swiftly to ensure data accuracy and reliability. Apply critical thinking and problem-solving to transform business logic into actionable data workflows. Collaboration and Governance: Partner with cross-functional teams to ensure data solutions align with business objectives. Document data workflows, pipelines, and processes to support ongoing maintenance and scalability. Required Skills and Experiences Minimum 5 Years of experience with the mentioned technologies or similar role. Technical Expertise: Advanced proficiency in T-SQL and SQL Server, including tools like SSMS, SQL Profiler, and SQL Agent. Proven experience developing and optimizing complex queries, stored procedures, and ETL pipelines. Proficiency with SSIS for data integration and transformation. Problem-Solving and Analytical Thinking: Strong critical thinking and mathematical reasoning skills to design efficient solutions for business problems. Demonstrated ability to handle complex financial data challenges, including proportional distributions and other mathematical transformations. Business Acumen: Solid understanding of financial concepts and processes, enabling seamless translation of business needs into data solutions. Collaboration and Communication: Ability to work effectively with business stakeholders, translating requirements into technical solutions. Excellent interpersonal and communication skills, fostering collaboration across teams. Additional Skills: Familiarity with Python, C#, or similar scripting languages for backend integration. Experience with cloud ETL tools such as Azure Data Factory (ADF), Fivetran, or Airbyte. Knowledge of data governance and compliance principles. Life at RWS At RWS, we're here for one purpose: unlocking global understanding. As a unique, world-leading provider of technology-enabled language, content, and intellectual property services, we remove barriers to communication to make global connection possible. Our unrivalled experience and deep understanding of language have been developed over more than 60 years. As we look to shape the future, our ambition is to create a world where understanding is universal for everyone. We work with over 80% of the world's top 100 brands, more than three-quarters of Fortune's 20 Most Admired Companies, and almost all the top pharmaceutical companies, investment banks, law firms, and patent filers. Our client base spans Europe, Asia Pacific, North and South America. Our 65+ global locations across five continents service clients in the automotive, chemical, financial, legal, medical, pharmaceutical, technology, and telecommunications sectors. If you like the idea of working with smart people who are passionate about breaking down language barriers and giving back to their communities, then you'll love life at RWS. Our work fundamentally recognizes the value of every language and culture. So, we celebrate difference, we are inclusive and believe that diversity makes us strong. We want every employee to grow as an individual and excel in their career. In return, we expect all our people to live by the values that unite us: to partner with colleagues and clients, to adopt a pioneering spirit, to be positive in progressing the work we do, and always to deliver what we promise. RWS Values Get the 3Ps right - Partner, Pioneer, Progress - and we'll Deliver together as One RWS. For further information, please visit: RWS Recruitment Agencies: RWS Holdings PLC does not accept agency resumes. Please do not forward any unsolicited resumes to any RWS employees. Any unsolicited resume received will be treated as the property of RWS and Terms & Conditions associated with the use of such resume will be considered null and void.,

As a Data Engineering Lead, you will be responsible for developing and implementing data engineering projects, including enterprise data hubs or Big data platforms. Your role will involve defining reference data architecture, leveraging cloud-native data platforms in AWS or Microsoft stack, and staying updated on the latest data trends like data fabric and data mesh. You will play a key role in leading the Center of Excellence (COE) and influencing client revenues through innovative data and analytics solutions. Your responsibilities will include guiding a team of data engineers, overseeing the design and deployment of data solutions, and strategizing new data services and offerings. Collaborating with client teams to understand their business challenges, you will develop tailored data solutions and lead client engagements from project initiation to deployment. Building strong relationships with key clients and stakeholders, you will also create reusable methodologies, pipelines, and models for more efficient data science projects. Your expertise in data architecture solutions, data governance, and data modeling will ensure compliance with regulatory standards and support effective data management processes. You will be proficient in various data integration tools, cloud computing platforms, programming languages, data visualization tools, and big data technologies to process and analyze large volumes of data. In addition to technical skills, you will demonstrate strong people and interpersonal skills by managing a high-performing team, fostering a culture of innovation, and collaborating with cross-functional teams. Candidates for this role should have at least 10+ years of experience in information technology, with a focus on data engineering and architecture, along with a degree in relevant fields like computer science, data science, or engineering. Candidates should also possess experience in managing data projects, creating data and analytics solutions, and have a good understanding of data visualization, reporting tools, and normalizing data as per key KPIs and metrics. Strong problem-solving, communication, and collaboration skills are essential for success in this role.,

As a Portfolio Manager at Protium Finance Ltd, you will be responsible for developing data-based strategies to make informed risk decisions. Your role will involve building real-time business performance dashboards to monitor risks effectively and create frameworks for complex data solutions. You will analyze data sets to identify trends and growth opportunities, and generate best-practice reports through data mining and visualization. In this position, you will evaluate internal systems for efficiency, address problems, and maintain data processing protocols. Collaboration with management and users to gather requirements, provide updates, and establish relationships will be crucial. Analyzing customer journeys to enhance risk management and improve customer experience will be part of your responsibilities. Additionally, you will work with cross-functional teams to gather feedback on models and strategies. Collaborating with senior management, you will develop scorecards across the lending value chain for the EEG vertical, covering pre-acquisition, acquisition, portfolio management, collections, and recoveries. Key Success Criteria: - 4-7 years of overall work experience. - Experience in the lending field is preferred. - Proficiency in Microsoft Excel is required. - CA Graduate with relevant experience is preferred. - Knowledge of programming languages such as R, Python, SQL, and VBA is desirable. - Familiarity with data analysis tools like Power BI, Metabase, etc. - Ability to utilize various models and scores for automated decision-making. - Flexibility to work across the value chain from data pulling to model implementation. If you are looking for a challenging role where you can leverage your analytical skills and contribute to the growth of Indian MSMEs, this Portfolio Manager position at Protium Finance Ltd in Mumbai could be the ideal opportunity for you.,

As a Scrum Master at M&G Global Services Private Limited, you will play a crucial role in leading Client and Distribution engineering teams to deliver end-to-end data solutions for the business. Your responsibilities include supporting the squad in delivering high-quality deliverables by coordinating across teams in the Client and Distribution Platform, providing clarity and support, and serving as the point of escalation for project-related activities. You will be expected to multi-task and work on multiple complex projects simultaneously. Your key priorities will involve enabling the design and implementation of solutions to support the development of a market-leading Client and Distribution platform to meet the increased demands across investment teams, clients, and regulators. Key Accountabilities And Responsibilities: - Enable the team to provide a quality service or product to customers and stakeholders - Facilitate the squad to deliver change at the required pace and scale for an organization undergoing transformation - Develop a highly motivated, client-focused, and high-performing delivery team - Continuously improve the quality of the team and its individual members, highlighting areas for strengthening and change - Demonstrate a solid understanding of product and business strategy, leading large and/or complex analysis initiatives - Prioritize and organize backlogs to ensure early delivery of value, documenting and accepting operational processes - Provide transparency to Product Owners, the Leadership team, and Stakeholders regularly - Deliver actionable updates and metrics for better steering the squad - Create a seamless process for delivery, releases, and planning exercises in conjunction with your peers - Deliver and maintain delivery plans and timelines to stakeholders - Anticipate and mitigate risks and issues with delivery, and identify opportunities for continuous improvement - Collaborate with business peers and management to achieve the right outcomes - Support the team in making effective decisions, escalating delivery and operational risks to the management team The ideal candidate will: - Inspire the team to deliver exceptional performance by connecting the purpose of their work beyond the bottom line impact - Operate with authenticity and integrity, encouraging others to do the same - Develop strong relationships with the team, empowering, stretching, and supporting them to develop - Encourage creative and collaborative problem-solving, questioning the status quo - Invite diverse views and provide positive challenge - Be curious about customers" needs and adapt to changing environments - Drive continuous improvement personally and via the team - Simplify complexity, prioritize people before process, and recognize the perspectives of customers and colleagues - Set clear priorities and expectations for the team and make bold, decisive decisions - Ensure the team operates in a customer-focused, commercial, and efficient manner, delivering against targets - Provide timely feedback, hold yourself and the team accountable, and oversee operational delivery Knowledge & Skills: - Proven project management and Scrum Master expertise - Strong experience in Agile and DevOps - Experience in data solutions, system integration, platform upgrades, and migration - Working experience with global application development and support teams - Strong interpersonal, coaching, and mentoring skills - Analytical skills and problem-solving abilities - Experience in delivery resource estimation and people leadership - Excellent customer and stakeholder management skills - Attention to detail, ability to prioritize, and work efficiently to meet deadlines - Experience with Cloud solutions, preferably Azure Desirable Knowledge & Skills: - Exposure to financial markets and asset management processes - Understanding of client and distribution processes Educational Qualification: - Graduate in any discipline Experience: - 12+ years of total experience in software development - 5+ years of experience in delivering outcomes for large programs/projects in the BFSI space - 3+ years of experience working as a Scrum Master, including onshore, offshore, and nearshore environments,

You will be joining M&G Global Services Private Limited, a subsidiary of the M&G plc group of companies, dedicated to providing valuable services since 2003. Our purpose is to instill confidence in individuals to invest their money wisely. With over 170 years of experience, we offer financial products and services through Asset Management, Life, and Wealth segments, all working together to deliver financial success for our clients and shareholders. As a Scrum Master, your primary responsibility will be to lead Client and Distribution engineering teams in delivering end-to-end data solutions for the business. You will support the team in ensuring the delivery of high-quality outcomes by coordinating across different teams within the Client and Distribution Platform. Additionally, you will act as the point of escalation for project-related activities and stakeholder issues, while managing multiple complex projects simultaneously. Your main focus will involve enabling the design and implementation of comprehensive solutions to enhance the Client and Distribution platform, meeting the increasing demands of investment teams, clients, and regulators. Key responsibilities include: - Facilitating the team to provide top-quality services or products to customers and stakeholders - Supporting the squad in delivering changes at the required pace and scale for sustained transformation - Developing a motivated, client-focused, and high-performing delivery team - Improving the team's quality and individual members as needed - Demonstrating a strong understanding of product and business strategy - Prioritizing and organizing backlogs to ensure early value delivery - Providing transparent updates to Product Owners, Leadership team, and Stakeholders - Creating a seamless process for delivery, releases, and planning exercises - Identifying and addressing the need for continuous improvement in quality and efficiency - Anticipating risks and issues, negotiating with peers and management for optimal outcomes - Encouraging effective decision-making, collaboration, accountability, and risk escalation Ideal candidates for this role should: - Inspire the team to achieve exceptional performance by connecting work to a greater purpose - Operate with authenticity, integrity, and encourage the same in others - Build strong relationships, empower team members, and encourage creative problem-solving - Embrace diverse perspectives, challenge the status quo, and drive continuous improvement - Prioritize people over processes, simplify complexity, and set high performance standards - Use judgment and expertise to make bold decisions and ensure their successful implementation - Oversee operational delivery, ensure adherence to controls, and maintain a customer-focused approach Required Knowledge & Skills: - Proven project management and Scrum Master expertise - Proficiency in Agile, DevOps, data solutions, system integration, and platform upgrades - Experience with global application development, resource estimation, and people leadership - Strong communication, coaching, and analytical skills - Ability to identify and resolve problems efficiently and meet project deadlines - Familiarity with Cloud solutions, preferably Azure Desirable Knowledge & Skills: - Exposure to financial markets, asset management processes, and client/distribution processes - Educational Qualification: Graduate in any discipline - Experience: 12+ years in software development, 5+ years in BFSI space, 3+ years as a Scrum Master,

As a Technical Program Manager specializing in Data Engineering, you will play a crucial role in leading and overseeing complex data engineering initiatives for our clients. Your primary responsibility will be to strategize, execute, and deliver enterprise data engineering programs that facilitate data-driven decision-making and digital transformation. You will collaborate closely with diverse teams, including data engineers, architects, business stakeholders, and technology partners, to ensure the successful implementation of data platforms, pipelines, and solutions that drive significant business value. Your key responsibilities will include leading the planning and execution of intricate data engineering programs from inception to completion. You will be tasked with developing detailed program roadmaps, timelines, resource plans, and implementation strategies for various data engineering projects. Additionally, you will coordinate cross-functional teams spanning data engineering, data science, architecture, business, and operations to deliver holistic data solutions that cater to the organization's needs. Furthermore, you will establish and sustain program governance structures such as steering committees, change control boards, and technical review processes. It will be your responsibility to manage program scope, schedule, budget, and resources efficiently while identifying and addressing risks and dependencies. You will be required to create and update program documentation, including requirements, technical specifications, and solution designs. In this role, you will also define metrics and KPIs to gauge program success and ensure alignment with business objectives. Implementing and upholding program management best practices, methodologies, and tools will be essential. Your role will involve facilitating effective communication between technical teams and business stakeholders by translating technical concepts into understandable terms for non-technical audiences. To be considered for this position, you should possess a Bachelor's degree in Engineering, Computer Science, or a related field, along with relevant certifications such as PMP, Prince, Agile, or Product Management. An MBA, Executive MBA, or Post Graduate Diploma in Business Administration from a reputable management institute would be advantageous. You should have a minimum of 8 years of experience in technical program management, with a focus on data engineering or data platform initiatives for at least 5 years. A strong understanding of data engineering concepts, architectures, and best practices is crucial for this role. You should have a proven track record of defining product requirements, managing project timelines, and successfully launching products. Exceptional analytical and problem-solving skills, coupled with a data-driven decision-making approach, are essential. Strong communication and collaboration skills are a must, enabling you to bridge the gap between technical and non-technical stakeholders effectively. Experience with Agile methodologies like Scrum and Kanban is necessary. Your ability to prioritize tasks efficiently, manage multiple responsibilities simultaneously, and thrive in a fast-paced environment will be key to your success in this role.,

You are looking for an experienced and skilled Technical Leader to join our AWS Data Engineering practice as an AWS Data Architect. In this role, you will be responsible for driving the Data Engineering strategy, architecting scalable data solutions, and leading the implementation of data projects on AWS. Your deep understanding of AWS services and data engineering best practices will be crucial for success. Your main responsibilities will include establishing and enhancing the company's Data Engineering Services Practice, working closely with senior stakeholders to understand business needs, and delivering technical solutions. This role is ideal for a technically proficient individual who thrives in a dynamic and fast-paced environment. As a Technical Leader, you will act as a visionary leader, conduct proof-of-concept projects, make informed architectural decisions, guide and mentor engineers, collaborate with sales and marketing teams, and design and implement various data solutions. You will also oversee project implementation, engage in strategic discussions with customers, ensure data quality and security, and drive technical innovation by staying updated with the latest trends and advancements in data engineering and AWS technologies. To be successful in this role, you should have a Bachelor's or Master's degree in Engineering or Technology, 15+ years of technical hands-on experience in the Data space, and at least 4 end-to-end implementations of large-scale data projects. Proficiency in AWS data services, AWS architecture, SQL, Python, data warehousing concepts, ETL/ELT processes, and data modeling is essential. Experience with data integration, data serialization formats, data pipelines optimization, and data governance frameworks is also required. Joining our team will provide you with the opportunity to work in a high-growth startup in the AI, Decision Science, and Big Data Domain, contribute to the digital transformation of our customers, and collaborate with a diverse group of techies. Flexible working options are available to foster productivity and work-life balance.,

Enterprise Solution Architect. Experience in Cross Domain Solution architecture. Good understanding of Manufacturing, Oil and Gas and Energy domain.Deep understanding of industry trends and Good technology understanding of ERP, Digital and Data Solutions

DESCRIPTION At Amazon.com, we strive to be Earth's most customer-centric company. To support this vision, we need exceptionally talented, bright, and driven people. If you would like to help us build the place to find and buy anything online, this is your chance to work hard, have fun, and make history. Key job responsibilities An ideal candidate for this role: - Use machine learning techniques to forecast AM Goals for improved long term and short term capacity planning. - Employ the appropriate algorithms to discover patterns of risks, redundancies and inefficiencies. - Design experiments, test hypotheses, and build actionable models to optimize AM operations. - Solve analytical problems, and effectively communicate methodologies and results. - Build predictive models to forecast risks for seller selction and operations and help predict workflow and capacity requirements for AM operations. - Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies. - Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area A day in the life As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business information, and will make it readily accessible to stakeholders. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement. BASIC QUALIFICATIONS - 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - 5+ years of business or financial analysis experience - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders PREFERRED QUALIFICATIONS - 3+ years of business analyst, data analyst or similar role experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Focus on Master Data Governance, Ensure Data Quality, Promote Data Ownership, Data & AI Strategy, Data Analytics, Ensure Seamless Data Integration, Data Visualization Tools, ERPs & Applications Integration, Purchase & Supplier Platforms integration.. Required Candidate profile BE/MCA/MSc 5+yrs exp in IT MGMT, IT INFRA MGMT, IT DATA SOLUTIONS, DATA INTEGRATION, APPLICATIONS INTEGRATION etc Strong exposure in ER SYSTEMS, PORTAL LATFORMS etc Work Time is from 1.30PM to 9.30PM Perks and benefits Excellent Perks. Send CV to adonis@adonisstaff.in

You are a Sr. Content Writer with a focus on tech-research driven content. Your primary responsibility will be to create engaging and authoritative content related to complex IT and business topics such as AI, automation, data processing, and digital engineering for enterprise audiences. You should have a tech background with a degree in B.Tech/BCA/B.Sc in IT and significant experience in content writing within IT services, e-commerce services, data solutions, or digital engineering domains. Your key responsibilities will include researching technical topics, transforming them into impactful content, owning topics to deliver content independently, and writing and editing various types of content such as website pages, blogs, case studies, white papers, and SEO-optimized articles. You will collaborate with internal teams to gather insights and ensure content relevance. Additionally, you will stay updated on industry trends, use tools for quality assurance, and maintain content calendars to meet deadlines. The ideal candidate should have a Bachelor's degree in IT/Computer Science, 5-8 years of B2B and IT services content writing experience, exposure to international markets, and additional certifications in Content Marketing/SEO. You should possess excellent English language skills, strong research abilities, SEO knowledge, and familiarity with various content formats. A portfolio showcasing your depth in writing is required for consideration. To apply for this role, please submit your resume and 23 writing samples, preferably technical or research-driven, to shakun@suntecindia.com or call 9266908805. This is a full-time, permanent position located in Pitampura, Delhi. Benefits include cell phone reimbursement, health insurance, leave encashment, life insurance, paid sick time, paid time off, and provident fund. Applicants must be able to reliably commute or relocate to Pitampura, Delhi before starting work. Minimum qualifications include a Bachelor's degree, 2 years of experience in content writing, and the ability to work in person at the specified location.,

As a Senior Integration Lead, you will engage with clients to collect, analyze, and document business and technical requirements. You will use appropriate methods to ensure a comprehensive understanding of integration needs. Analyzing business requirements and translating them into effective technical solutions will be a key part of your role. You will evaluate existing systems and propose improvements to optimize integration processes. Designing and architecting integration solutions using best practices, including data modeling and application design techniques, will also be within your responsibilities. Your role will involve developing integration frameworks that align with business needs and industry standards. You will be expected to assist in estimating effort, timeline, and resources for integration projects, as well as collaborating with teams to ensure timely delivery of integration solutions. Supporting in responding to RFPs by providing technical solutions and effort estimations will be part of your duties. Additionally, working with stakeholders to define the scope and feasibility of integration projects will be crucial. The ideal candidate should have 7+ years of experience in integration development, API management, and data solutions. Experience with MuleSoft or other integration platforms is required. Expertise in designing, implementing, and managing Boomi-based integrations is essential for this role. Candidates should also have experience in API design, development, and governance using Boomi. Knowledge of real-time data processing and event-driven architecture is a must. Experience in managing and synchronizing master data across multiple systems is preferred. Understanding of Electronic Data Interchange (EDI) protocols and industry standards is also necessary. Boomi Architect Certification would be an added advantage for this position.,