10 Data Workflows Jobs

As a Data Scientist, you will be responsible for analyzing complex data using statistical and machine learning models to derive actionable insights. You will use Python for data analysis, visualization, and working with various technologies such as APIs, Linux OS, databases, big data technologies, and cloud services. Additionally, you will develop innovative solutions for natural language processing and generative modeling tasks, collaborating with cross-functional teams to understand business requirements and translate them into data science solutions. You will work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives. Furthermore, you will research, develop, and analyze computer vision algorithms in areas related to object detection, tracking, product identification and verification, and scene understanding, ensuring model robustness, generalization, accuracy, testability, and efficiency. You will also be responsible for writing product or system development code, designing and maintaining data pipelines and workflows within Azure Databricks for optimal performance and scalability, and communicating findings and insights effectively to stakeholders through reports and visualizations. To qualify for this role, you should have a Master's degree in Data Science, Statistics, Computer Science, or a related field. You should have over 5 years of proven experience in developing machine learning models, particularly for time series data within a financial context. Advanced programming skills in Python or R, with extensive experience in libraries such as Pandas, NumPy, and Scikit-learn are required. Additionally, you should have comprehensive knowledge of AI and LLM technologies, with a track record of developing applications and models. Proficiency in data visualization tools like Tableau, Power BI, or similar platforms is essential. Exceptional analytical and problem-solving abilities, coupled with meticulous attention to detail, are necessary for this role. Superior communication skills are also required to enable the clear and concise presentation of complex findings. Extensive experience in Azure Databricks for data processing, model training, and deployment is preferred, along with proficiency in Azure Data Lake and Azure SQL Database for data storage and management. Experience with Azure Machine Learning for model deployment and monitoring, as well as an in-depth understanding of Azure services and tools for data integration and orchestration, will be beneficial for this position.,

You are a highly skilled and detail-oriented migrations specialist, responsible for planning, executing, and managing seamless data transfer between platforms. Your role involves reconciling and analyzing financial data, reporting key progress metrics, ensuring data integrity, and optimizing migration processes. Strong data analysis skills and a comprehensive understanding of data workflows, databases, and best practices for data migration are essential. Additionally, you will lead junior staff, manage planning, and oversee work delivery. Your key responsibilities include collaborating with stakeholders to understand migration requirements, scope, and objectives, identifying risks, and developing effective mitigation strategies. You will perform data mapping, ensuring accuracy and consistency, and maintain data quality throughout the migration process. Data reconciliation, verification, documentation, and tracking of issues until resolution are crucial tasks. Moreover, you will create detailed documentation, playbooks, and operational workflows for new datasets/systems, provide expert-level support, troubleshoot, and communicate effectively with clients. To qualify for this role, you should have a Bachelor's degree in Engineering, Computer Science, Finance, Maths, Statistics, or a related field, along with 2-5 years of experience as a data analyst/lead in financial or data reconciliation. Proficiency in Microsoft Excel and other MS Office tools, database technologies (e.g., SQL Server, Oracle, MySQL), and strong SQL scripting abilities are preferred. Knowledge of accounting principles and financial statements is advantageous. Excellent written and verbal communication skills, the ability to present complex data clearly, attention to detail, time management skills, and leadership capabilities are also essential. You will prepare comprehensive reports, presentations, and dashboards for senior management, highlighting key results and metrics. Your role involves investigating, troubleshooting, and providing effective communication with clients. Your expertise in data analysis and migration processes will be instrumental in ensuring successful data transfers and maintaining data integrity.,

Develop and maintain data pipelines, ETL/ELT processes, and workflows to ensure the seamless integration and transformation of data. Architect, implement, and optimize scalable data solutions. Required Candidate profile Work closely with data scientists, analysts, and business stakeholders to understand requirements and deliver actionable insights. Partner with cloud architects and DevOps teams

As a Senior HubSpot Specialist at Maropost, you will be responsible for owning the end-to-end management of the HubSpot platform. This includes tasks such as onboarding new teams, setting up workflows, custom properties, and lead scoring models. Your role will involve partnering with RevOps and cross-functional teams to ensure alignment with business processes and reporting needs. You will play a key role in managing user roles, permissions, data hygiene, and system audits to maintain data integrity and consistency. In this position, you will be expected to optimize lead lifecycle management, MQL/SQL handoffs, and routing rules for speed and accuracy. Collaborating closely with content and sales teams, you will develop templates, forms, sequences, and CTAs to support customer growth and retention. Furthermore, you will be responsible for implementing AI functionality within HubSpot and troubleshooting integration issues with other systems like Salesforce, Clearbit, Segment, or custom APIs. Your role will also involve building custom dashboards and reports to track marketing and sales performance, funnel metrics, campaign effectiveness, and revenue performance. Additionally, you will support quarterly business reviews and performance analytics, as well as train marketing and sales teams on HubSpot best practices and new features. Maintaining detailed documentation of system configurations, processes, and governance policies will be essential in this position. To excel in this role, you should have at least 5 years of experience working with HubSpot, particularly in Marketing Hub, Sales Hub, and Service Hub. A proven track record in implementing and managing HubSpot for a SaaS business is required. Strong knowledge of lead management, marketing automation, and data workflows is essential, along with experience in using third-party tools like Zapier, Segment, or Drift. An analytical mindset with proficiency in Excel/Google Sheets and dashboarding skills is crucial. HubSpot certifications, such as Marketing Hub Implementation and Revenue Operations, are considered a strong advantage. Excellent communication and project management skills are necessary, along with a commitment to Maropost's core values of being Customer Obsessed, acting with Extreme Urgency, striving for Excellence, and being Resourceful. If you are a proactive thinker who is eager to make an impact, thrive on challenges, and are ready to drive transformative change at Maropost, we invite you to join our team as a Senior HubSpot Specialist. Let's work together to define what's possible and turn ideas into action!,

Genpact is a global professional services and solutions firm with a workforce of 125,000+ employees spanning across 30+ countries. Driven by innate curiosity, entrepreneurial agility, and the desire to create lasting value for clients, we serve and transform leading enterprises, including Fortune Global 500 companies. Our purpose, the relentless pursuit of a world that works better for people, powers our operations. We specialize in deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the role of Lead Consultant - ETL Manual Tester. We are looking for an experienced Test Manager to oversee and manage testing activities for our Data/ETL (Extract, Transform, Load) program. The ideal candidate will ensure the quality and reliability of our data processing systems. This role involves developing testing strategies, managing a team of test engineers, and collaborating with other departments to ensure the successful delivery of the program. Responsibilities include: Test Strategy & Planning: - Develop and implement a comprehensive testing strategy for the Data transformation/ETL program. - Plan, design, and manage the execution of test cases, scripts, and procedures for data validation and ETL processes. - Oversee the preparation of test data and environments to meet complex data workflow requirements. Team Management & Leadership: - Lead and mentor a team of test engineers, setting clear goals and expectations and providing regular feedback. - Foster a culture of quality and continuous improvement within the team. - Coordinate with project managers, data engineers, and business analysts for effective communication and issue resolution. Testing & Quality Assurance: - Identify defects and issues in data processing and ETL workflows. - Implement and maintain quality assurance policies and procedures for data integrity and reliability. - Monitor and report on testing activities, including test results, defect tracking, and quality metrics. Stakeholder Engagement: - Act as the primary contact for all testing-related activities within the Data/ETL program. - Communicate testing progress, risks, and outcomes to program stakeholders. - Collaborate with business users to align testing strategies with business objectives. Technology & Tools: - Stay updated on the latest testing methodologies, tools, and technologies related to data and ETL processes. - Recommend and implement tools and technologies to enhance testing efficiency. - Ensure the testing team is trained and proficient in using testing tools and technologies. Qualifications we seek in you: - Bachelor's degree in computer science, Information Technology, or related field. - Experience in a testing role focusing on data and ETL processes. - Proven experience managing a testing team for large-scale data projects. - Strong understanding of data modeling, ETL processes, and data warehousing principles. - Proficiency in SQL and database technologies. - Experience with test automation tools and frameworks. - Excellent analytical, problem-solving, and communication skills. - Ability to work collaboratively in a team environment and manage multiple priorities. Preferred Skills: - Experience with cloud-based data warehousing solutions (AWS Redshift, Google BigQuery, Azure Synapse Analytics). - Knowledge of Agile methodologies and working in an Agile environment. If you meet the qualifications mentioned above and are passionate about testing and quality assurance, we invite you to apply for the Lead Consultant - ETL Manual Tester position based in Hyderabad, India.,

Are you a skilled Alteryx Automation Engineer/Developer looking to make a significant impact in a pioneering team? We are seeking talented individuals with 5-12 years of experience to join our growing organization. As a Senior Alteryx Automation Engineer/Developer , you will be instrumental in designing, building, and optimizing data workflows using Alteryx Designer to automate complex data transformation processes . You will develop and maintain robust SQL queries for data extraction, transformation, and loading (ETL). This role involves collaborating with cross-functional teams to translate business requirements into scalable automation solutions, ensuring data quality, integrity, and compliance with regulatory standards. You will also participate in code reviews, testing, and deployment of solutions, and document workflows for knowledge sharing and audit readiness. Top Mandatory Skills: Alteryx (2+ years production experience): Proficient in building end-to-end workflows using Alteryx Designer , including data blending, cleansing, and advanced analytics. SQL (Strong Proficiency): Ability to write complex queries involving joins, aggregations, subqueries, and performance tuning. Proficiency needed, creating groups, joint tables etc. Why Join Us? Be part of a pioneering team shaping a new horizontal within the organization, offering high visibility and high impact on regulatory programs. Work closely with our Center of Excellence (COE) in the US and other regional counterparts, gaining exposure to cutting-edge automation technologies and collaborating with global teams. Opportunity to grow in a fast-paced, innovation-driven fintech environment. Preferred Qualifications: Experience in the Fintech domain. Familiarity with data visualization tools (e.g., Tableau, Power BI). Notice Period: Immediate joiners or candidates with up to 45 days' notice preferred - only Currently serving

Develop and maintain data pipelines, ETL/ELT processes, and workflows to ensure the seamless integration and transformation of data. Architect, implement, and optimize scalable data solutions. Required Candidate profile Work closely with data scientists, analysts, and business stakeholders to understand requirements and deliver actionable insights. Partner with cloud architects and DevOps teams

MSCI Services is building cutting-edge software and data workflows to identify and analyze the exposure to climate change of publicly traded companies. This data informs investors about companies climate risk within our climate risk and ESG models. We are seeking a Senior Associate - Physical Risk Engineering with a strong interest in cross-functional work with domain experts to create production-ready climate data using Python. In this role, you'll focus on the physical risk components of our climate risk model, requiring a good understanding of Geographic Information Systems (GIS), processing large geospatial datasets, and the common physical risk modeling framework (hazard x exposure x vulnerability). This work directly contributes to the models and data used by the largest financial players globally. Responsibilities: Collaborate with researchers in developing production-grade models. Design and implement the engineering aspects of physical risk models (hazard, exposure, vulnerability) for a performant and sustainable engineering solution. Co-design and implement geospatial data workflows for physical risk models based on a common spatial platform. Participate in the review of requirements, design, and code. Mentor other developers , providing them with technical guidance in GIS. Qualifications: Proficient in software engineering , including Python . Strong familiarity working with UNIX command lines and its toolset . Experience with or strong interest in Google Cloud Platform and/or Azure and container-based development . Enjoys interacting in a cross-cultural and geographically distributed environment. Ability to transform client business requirements into technical solutions . Strong analytic skills, problem-solving ability, and attention to detail . Excellent communication skills and ability to work as part of a multi-cultural and geographically distributed team. Self-motivated, proactive, and a team player demonstrating an exceptional drive towards client delivery. What we offer you: Transparent compensation schemes and comprehensive employee benefits , tailored to your needs, ensuring your financial security, health, and overall well-being. Flexible working arrangements , advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro, and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility, and expanded roles. We actively nurture an environment that builds a sense of inclusion, belonging, and connection , including eight Employee Resource Groups: All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women's Leadership Forum.

We are seeking an experienced Modern Microservice Developer to join our team and contribute to the design, development, and optimization of scalable microservices and data processing workflows. The ideal candidate will have expertise in Python, containerization, and orchestration tools, along with strong skills in SQL and data integration. Key Responsibilities: Develop and optimize data processing workflows and large-scale data transformations using Python. Write and maintain complex SQL queries in Snowflake to support efficient data extraction, manipulation, and aggregation. Integrate diverse data sources and perform validation testing to ensure data accuracy and integrity. Design and deploy containerized applications using Docker, ensuring scalability and reliability. Build and maintain RESTful APIs to support microservices architecture. Implement CI/CD pipelines and manage orchestration tools such as Kubernetes or ECS for automated deployments. Monitor and log application performance, ensuring high availability and quick issue resolution. Requirements Mandatory: Bachelor's degree in Computer Science, Engineering, or a related field. 5-8 years of experience in Python development, with a focus on data processing and automation. Proficiency in SQL, with hands-on experience in Snowflake. Strong experience with Docker and containerized application development. Solid understanding of RESTful APIs and microservices architecture. Familiarity with CI/CD pipelines and orchestration tools like Kubernetes or ECS. Knowledge of logging and monitoring tools to ensure system health and performance. Preferred Skills: Experience with cloud platforms (AWS, Azure, or GCP) is a plus.

We are looking for a Senior Platform Engineer Airflow & Control-M with 5-10 years of experience to join our team in Bangalore or Chennai The ideal candidate will have strong expertise in Airflow, Control-M, Kubernetes, Observability (OpenTelemetry), Python, and Bash scripting The role involves managing critical data workflows, enhancing platform automation, and ensuring system reliability and scalability Excellent communication skills and hands-on experience in stabilizing production environments are essential