1,322 Data Processing Executive Jobs nearby Vasai

Duties/ Roles & Responsibilities Lead the design, optimization, and scaling of data pipelines using Data bricks, Spark, and advanced SQL. Drive architectural decisions, enforce best practices, and mentor teams on distributed data processing and lake house patterns. Collaborate with cross-functional partners to deliver high-quality, reliable data solutions that support analytics and business objectives.

This position is responsible for managing & administration of the company Payroll and ensuring compliance and accuracy in monthly Payroll activities The role responsible for ensuring timely and accurate delivery of payroll. Overall responsibility for payroll processing and administration Manage certain time bound processes and ensure validation of data to be accurate and truthful i.e. Investments declaration, Form 16s, Tax Returns Ensuring time lines are met for salary disbursement and statutory compliance Ensuring Employee Benefits including Employee reimbursements as per rules and regulations of income tax Responsible for MIS and Analytics regarding payroll and employee benefits with Standardization of reports for better decision making Verification & Reconciliation of monthly payroll Calculation and deposit of monthly liability of TDS on salaries Preparation & Submission of Quarterly and Annual TDS returns Responsible of publishing monthly Payroll Dashboard Ensure Monthly payroll provisions to Finance

Urgently required for Construction Company as per the below mentioned profileDesignation: Executive Payroll (only for females)Department: HR & AdministrationJob Location: HO, VidyaviharEducation: Graduate, Should have good knowledge of computers, Experience: 3 to 5 yrs experience. Salary : Will be discussed over call based upon experience.JD- This position is responsible for managing & administration of the company Payroll and ensuring compliance and accuracy in monthly Payroll activities The role responsible for ensuring timely and accurate delivery of payroll. Overall responsibility for payroll processing and administration Manage certain time bound processes and ensure validation of data to be accurate and truthful i.e. Investments declaration, Form 16s, Tax Returns Ensuring time lines are met for salary disbursement and statutory compliance Ensuring Employee Benefits including Employee reimbursements as per rules and regulations of income tax Responsible for MIS and Analytics regarding payroll and employee benefits with Standardization of reports for better decision making Verification & Reconciliation of monthly payroll Calculation and deposit of monthly liability of TDS on salaries Preparation & Submission of Quarterly and Annual TDS returns Responsible of publishing monthly Payroll Dashboard Ensure Monthly payroll provisions to FinanceIf interested then kindly share your resumes on shriddhim@gmail.com

Duties/ Roles & Responsibilities Lead the design, optimization, and scaling of data pipelines using Data bricks, Spark, and advanced SQL. Drive architectural decisions, enforce best practices, and mentor teams on distributed data processing and lake house patterns. Collaborate with cross-functional partners to deliver high-quality, reliable data solutions that support analytics and business objectives.

Job Description-  Data EngineerTotal yrs of exp should be 6+yrs   Must have 3+ years in Pyspark. Strong programming experience, Python, Pyspark, Scala is preferred. Experience in designing and implementing CI/CD, Build Management, and Development strategy. Experience with SQL and SQL Analytical functions, experience participating in key business, architectural and technical decisions Scope to get trained on AWS cloud technology Proficient in leveraging Spark for distributed data processing and transformation. Skilled in optimizing data pipelines for efficiency and scalability. Experience with real-time data processing and integration. Familiarity with Apache Hadoop ecosystem components. Strong problem-solving abilities in handling large-scale datasets. Ability to collaborate with cross-functional teams and communicate effectively with stakeholders. Primary Skills : Pyspark SQL Secondary Skill: Experience on AWS/Azure/GCP would be added advantage

We have an exciting opportunity for the role of Data Engineer. Please find the details below: Job Description: Total experience required: 6+ yearsMinimum 3 years of experience in PySparkLocation: Pune Chennai and Bangalore. Strong programming skills in Python and PySpark (Scala is preferred)Experience in designing and implementing CI/CD, build management, and development strategiesHands-on experience with SQL and SQL analytical functionsExposure to key business, architectural, and technical decision-making processesOpportunity to get trained on AWS cloud technologyProficient in leveraging Spark for distributed data processing and transformationSkilled in optimizing data pipelines for efficiency and scalabilityExperience with real-time data processing and integrationFamiliarity with Apache Hadoop ecosystem componentsStrong problem-solving abilities for handling large-scale datasetsExcellent collaboration and communication skills for working with cross-functional teamsPrimary Skills: PySpark and SQL Secondary Skills: Experience with AWS, Azure, or GCP would be an added advantageIf interested, please apply. Best regards,HR Team, Capgemini

Job Title: Senior Snowflake Data Developer Experience: 6 - 10 Years Location: Bangalore / Mumbai / Chennai / Pune Employment Type: Full-Time Job Description: We are looking for an experienced Senior Snowflake Data Developer with a strong background in data engineering, Snowflake implementation, and cloud-based data solutions. The ideal candidate will have hands-on experience with Snowflake, SQL, Python, and cloud platforms (AWS/Azure), along with excellent analytical and communication skills. Key Responsibilities: Lead and implement end-to-end Snowflake projects, including migration from traditional data warehouses or new implementations. Develop, optimize, and tune SQL and SnowSQL queries for performance and scalability. Apply data modelling principles and best practices for designing and maintaining data structures. Work extensively on AWS/Azure cloud platforms for data processing and integration. Utilize advanced Snowflake features including Data Masking, Tagging, SnowPipe, RBAC controls, Virtual Warehouse sizing, Zero Copy Clone, Data Sharing, Streams & Tasks, Time Travel, Secure Data Sharing, DMF, Iceberg Tables, Dynamic Tables, Micro Partitioning, and Query Profiler. Implement ETL/ELT integration, data ingestion, conversion, and migration workflows. Develop and maintain scripts using Python and PySpark. Collaborate with teams using Jira, Confluence, and Agile methodologies. Prepare and review technical documentation, specifications, and peer reviews. Ensure adherence to cloud best practices and organizational data standards. Good to Have: Snowflake Certification. Hands-on experience with DBT (Data Build Tool). Experience in preparing and reviewing functional and technical specification documents. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Client-facing experience with strong ownership and attention to detail. Immediate joiners will be preferred.

We are looking for a skilled Data Analyst who will be responsible for managing large datasets, preparing insightful dashboards, and performing advanced data transformations. The ideal candidate must be highly proficient in Advanced Excel, Power Query, with the primary focus being data processing and automation in Excel. Key Responsibilities: Manage and organize large datasets for daily, weekly, and monthly reporting. Create, automate, and optimize reports using Advanced Excel and Power Query. Perform data cleaning, verification, and standardization to ensure high-quality output. Analyze data to highlight patterns, trends, and actionable insights. Coordinate with various teams to gather, update, and maintain accurate data. Ensure timely preparation and delivery of all required reports. Maintain dashboards and support management with ad-hoc data requirements.

We are looking to hire an experienced back office executive to join our busy back office team. As a back office executive, you will be reporting to the back office manager and assisting with various administrative duties. This includes data management, project processing, market research, data analysis, finances, and administrative duties. To ensure success as a back office executive, you should have extensive experience in office management, the ability to work as part of a team, and the ability to respond quickly to requests from management. Ultimately, a top-class back office executive works quickly and efficiently to provide reliable support for management and the front office team. Back Office Executive Responsibilities: Performing market research. Gathering and processing research data. Performing basic admin duties including printing, sending emails, and ordering office supplies. Assisting and coordinating with the sales team. Assisting the Front Office team. Assisting with inventory control. Organizing staff meetings and updating calendars. Processing company receipts, invoices, and bills. Assisting and supporting management.

Role Overview: You will be responsible for maintaining the cyclical Inflight Entertainment Content (IFEC) programs, periodical updates, and GUI content for each client account within the scope of work. Your role will involve working with cross-functional teams globally, adhering to tight deadlines in a fast-paced environment. The ideal candidate should have a passion for media and technology, effective communication skills, and a strong work ethic. Key Responsibilities: - Ensure metadata and image assets meet OEM specifications for servicing - Handle production and quality control of OEM metadata & images programs - Manage data tasks including normalizing and inputting content images, descriptive and technical metadata - Communicate with OEM Program managers for client change requests and updates - Identify and resolve technical and production issues, escalating to management when necessary - Assign advertisements to titles as per platform requirements - Create and publish content tracking grids to OEM - Calculate, monitor, and manage milestones for timely deliveries to OEM - Provide coverage support as needed - Exemplify company core values and behaviors - Accountable for delivering departmental outcomes - Offer feedback for continuous improvement processes Qualifications Required: - 3+ years of experience working with video/audio/subtitle/metadata and client service in Media & Entertainment, film/tv production, or similar industry - Strong understanding of video/film formats, distribution workflows, and technologies - Experience in the InFlight Entertainment industry is a plus - Excellent organizational, interpersonal, and communication skills (verbal and written) - Effective problem solver who can adapt to changing priorities - Able to thrive in a dynamic, innovative, deadline-driven environment - Willingness to work outside regular business hours when necessary - Excellent MS Excel skills and knowledge of MS Office package - Working knowledge of Photoshop preferred About Anuvu: Anuvu has been a trusted provider of high-speed connectivity and entertainment solutions for worldwide mobility markets for over a decade. With a focus on delivering what customers need today while remaining flexible and future-focused, Anuvu is embarking on a new chapter with a new story to tell. The Benefits Of Working Here: Working at Anuvu provides a unique opportunity to grow your knowledge and skills within a collaborative and innovative culture. In addition to an outstanding work environment, competitive benefits including medical, paid time off, and employee assistance are offered. Let Innovation Move You.,

Role Overview: You will be the Vice President within the Asset and Wealth Management Client Onboarding Regulatory & Analytics Center of Excellence (CoE) at J.P. Morgan Chase. Your role will involve leading high-impact initiatives such as data quality root cause analysis and regulatory inquiries. You will collaborate with various teams to deliver insights and support regulatory and management requests. It is essential to have a strong technical background and expertise in modern data environments and advanced analytics tools. Your responsibilities will include ensuring analytic approaches are robust, scalable, and compliant with governance standards, as well as effectively communicating findings to stakeholders. Key Responsibilities: - Lead and support initiatives such as data quality root cause analysis, regulatory inquiries, management requests, and data lineage analysis. - Oversee onboarding/KYC-related and data remediation activities, including duplicate remediation, ensuring timely and effective delivery. - Perform deep data profiling and analysis using advanced data tools and environments. - Develop and deliver data product prototypes and analytic solutions to address business needs and drive strategic decision-making. - Champion automation initiatives leveraging Intelligent Automation (IA) platforms. - Collaborate with business, technology, and control partners to understand requirements, deliver insights, and support regulatory and management requests. - Drive impactful solutions to complex business and data challenges within the Data Profiling and Ad Hoc Data Science team. - Translate business needs into actionable data solutions as a subject matter expert in wealth and asset management, customer, account, and related data domains. - Influence stakeholders and lead initiatives independently or as part of a team, serving as a regional liaison for global teams on data and control matters. Qualification Required: - Demonstrate extensive experience in data analytics, data mining, data processing, and data remediation. - Utilize advanced business intelligence tools such as SQL, Alteryx, QlikView, Tableau, and Snowflake. - Manage multiple tasks independently in a fast-paced environment. - Exercise strong judgment to balance strategic vision with pragmatic delivery. - Build and grow data science capabilities while developing talent. - Establish strong working relationships with key stakeholders through excellent interpersonal skills. - Initiate and organize complex projects as a self-starter with robust organizational skills. - Influence executives and project teams to drive outcomes. - Communicate effectively and engage stakeholders to resolve complex issues. - Collaborate across diverse functions, locations, and businesses with a team-oriented mindset. - Adapt quickly to the demands of a fast-paced and highly regulated industry.,

You will lead the design, implementation, and optimization of enterprise Snowflake data platform solutions, driving cloud-native data architecture initiatives and establishing scalable analytics capabilities. - **Platform Architecture & Strategy:** - Design and implement enterprise-scale Snowflake data platform architectures - Establish modern data lakehouse patterns using Snowflake's cloud data platform capabilities - Define data governance, security, and access control frameworks - Lead platform assessments, optimization initiatives, and strategic planning - **Technical Implementation:** - Architect robust data ingestion pipelines using Snowpipe, external stages, and partner integrations - Design efficient ELT processes using Snowflake SQL, Snowpark, and Python/Scala - Implement data sharing capabilities, marketplace integrations, and cross-cloud connectivity - Establish monitoring, alerting, and cost management best practices - **Integration & Analytics:** - Design integrations with BI tools, data visualization platforms, and analytics applications - Enable advanced analytics and machine learning workflows using Snowpark ML - Implement real-time and batch data processing patterns - Lead data platform migrations and modernization projects **Required Qualifications** - **Technical Expertise:** - 7+ years enterprise data platform experience with focus on cloud-native architectures - 4+ years hands-on Snowflake experience (development, administration, optimization) - Expert-level SQL and experience with Snowpark (Python/Scala) - Strong understanding of cloud data architecture, security, and governance - Experience with data integration tools and modern data stack components - **Platform Experience:** - Multi-source data integration including databases, APIs, files, and streaming data - Performance optimization, cost management, and warehouse scaling strategies - Data governance, compliance, and security framework implementation - Enterprise-scale data migration and platform consolidation projects - **Leadership & Communication:** - Proven track record leading technical teams and complex data initiatives - Experience with stakeholder management and cross-functional collaboration - Strong analytical and problem-solving capabilities - Documentation and knowledge transfer expertise **Preferred Qualifications** - Snowflake certifications (SnowPro Core, Advanced Architect, Data Engineer) - Multi-cloud platform experience (AWS, Azure, GCP) - dbt (data build tool) and modern data transformation frameworks - Machine learning and MLOps experience in cloud environments - Industry-specific data platform experience and domain expertise If you join Codvo, you will be part of a team committed to building scalable, future-ready data platforms that power business impact. Codvo believes in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join Codvo to be part of a team that solves complex data challenges with creativity and cutting-edge technology.,

As a Data Maintenance Executive (DME) at our organization in Pune, your primary role will involve maintaining essential data, processes, and workflows. You will be responsible for creating and defining processes and flowcharts to ensure efficient workflow within the organization. Key Responsibilities: - Make, update, and maintain databases in Excel/Google Sheets according to defined processes and schedules. - Keep senior management informed by preparing reports in Excel and Google Sheets. - Upgrade hardware and software by evaluating transaction processing needs. - Troubleshoot and maintain database performance in Excel/Google Sheets. - Develop and implement policies, procedures, and controls to secure the database. Qualifications Required: - Diploma/Bachelors degree in any stream. - Proficiency in Mathematics, Excel/Google Sheets, and computer skills. A degree in Computers will be an added advantage. - Any experience in ERP will be beneficial. You will be joining as a fresher, and any prior experience will be considered a plus. We are currently looking to fill one position for this role.,

As a VP Data Science, you will play a critical role in the data-driven decision-making process and will have a deep impact on projects across multiple markets. You'll collaborate closely with senior product, business, and strategy leaders to build data science-first platforms, products, and communities. If you are passionate about using data to solve real-world problems, we would be thrilled to welcome you to our team! **Key Responsibilities:** - Develop and implement sophisticated statistical and machine learning algorithms, including regression, classification, recommendation, natural language processing, and computer vision models. - Work closely with Product and Business leaders to develop models and products using custom deep learning architectures like RNNs, CNNs, and transformers. - Create, train, and deploy classical ML models for regression, classification, clustering, and time series forecasting. - Apply feature engineering techniques to ensure high model quality. - Build recommendation and optimization systems to enhance advertising performance metrics like CPA, ROI, and conversion rates. - Utilize statistical modeling and causal inference for experimental design and impact measurement. - Implement LLM-powered systems using GPT, AWS Titan, Gemini, and BERT for semantic search, text classification, summarization, and conversational chatbots. - Develop object detection and OCR pipelines using ResNet, VGG, and CNNs for creative performance evaluation and audience attention measurement. - Construct multimodal models combining image and text embeddings for ad performance prediction and content analysis. - Collaborate with cross-functional teams to understand business requirements, organize Data Science sessions, and lead end-to-end data science projects. - Manage project timelines, resources, and deliverables. - Collaborate with technical teams and business analysts to drive data initiatives. **Qualifications:** - Education: Bachelors, Masters, or Ph.D. in a quantitative field such as Data Science, AI, Computer Science, Statistics, Mathematics, or a related field. - Experience: Minimum of 8 years in data science, machine learning, or related roles. - Knowledge of media buying, advertising, digital marketing, programmatic buying, DSPs, Meta Facebook Business Manager, and TikTok campaign activation is advantageous. - Familiarity with media planning and buying references and metrics is preferred. - Strong verbal and written communication skills along with experience in senior stakeholder management are beneficial. **Technical Skills:** - Strong Proficiency in Python or similar programming languages and efficient API development. - Solid knowledge of machine learning techniques including Regression, Classification, Clustering, Forecasting, Feature Engineering, Optimization, Recommendations, and Computer Vision. - Experience with big data tools like Spark and cloud platforms such as AWS, GCP, and Azure, as well as data visualization software like PowerBI, Tableau, and Plotly. - Good understanding of data engineering methods and techniques including BigQuery, Snowflake, and Data Lake design principles. - Strong working knowledge of JIRA, Confluence, CI/CD pipelines, software IDEs, and repo management. - Good understanding of technical project management, especially when working with data scientists, engineers, and product managers. Dentsu is an integrated growth and transformation partner with a global presence across approximately 120 countries. Since its founding in Tokyo, Japan in 1901, Dentsu has been known for nurturing and developing innovations, leveraging the talents of its leadership brands to create impactful growth solutions for clients.,

As a Data Entry Processor for a member organization, your role involves enrolling new/existing employees and incorporating changes related to beneficiaries, dependents, and adding new products to policies. Your key responsibilities include: - Processing back office transactions such as setting up accounts, scanning, and new business - Ensuring all transactions are processed within the SLAs outlined by the client - Following defined and documented desktop procedures for transaction processing - Meeting assigned targets in accordance with SLA and striving to exceed expectations - Ensuring the quality of transactions meets predefined parameters Your work will require you to operate within strict deadlines and continuously aim to improve process metrics and customer satisfaction measures. No additional details about the company were mentioned in the job description.,

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. Data Analyst Responsibilities: Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analyses. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Position: HR Executive Location: Bhiwandi Sonale Village Experience: 3-4 Years Salary: 35,000 40,000 per month (Depends on the experience)  Roles & Responsibilities Manage end-to-end recruitment, onboarding, and induction processes. Maintain and update employee records, HR documentation, and statutory compliance. Handle attendance, leave management, and monthly payroll processing in Tally. Support Performance Review Appraisal (PRA) cycles and maintain performance data. Develop, implement, and update HR Standard Operating Procedures (SOPs). Track and analyze Key Performance Metrics (KPMs) like attendance, attrition, and productivity. Plan and execute employee engagement and welfare activities to build a positive work culture. Ensure smooth day-to-day HR operations, maintaining confidentiality and policy compliance.  Requirements Bachelors degree or MBA in HR or related field. Minimum 2 years of experience in HR operations and payroll management. Proficiency in Tally (Payroll & HR modules). Good knowledge of HR documentation, compliance, and Excel reporting. Strong communication, coordination, and interpersonal skills.

A gas and chemical process operatorcontrols equipment and systems to manufacture products like chemicals, fuels, and processed gas, ensuring safe and efficient operation through monitoring, maintenance, and quality control. Key duties include operating machinery, preparing and feeding raw materials, inspecting equipment, analyzing samples, and maintaining detailed logs of production and maintenance. This role requires a strong understanding of safety protocols, technical manuals, and problem-solving skills, and often involves working in shifts in an industrial environment. Key responsibilitiesProcess control: Monitor and control plant equipment and systems, such as pumps, compressors, and boilers, to ensure they operate within required flows, pressures, and temperatures.Material handling: Prepare, measure, and feed raw materials and processing agents into the machinery.Equipment maintenance: Perform routine maintenance and minor repairs on equipment, and arrange for more complex maintenance when needed.Monitoring and analysis: Inspect equipment for malfunctions, analyze samples, and interpret instrument readings to ensure product quality and process efficiency.Record keeping: Maintain accurate logs of production, quantities transferred, operational data, and equipment maintenance.Safety compliance: Adhere strictly to all safety procedures, protocols, and hazardous materials guidelines, including using personal protective equipment (PPE).Troubleshooting: Identify and troubleshoot issues that arise during the production process. 

You will be expected to have proficiency in Python and possess strong knowledge and experience of machine learning techniques such as natural language processing, classification, recommenders, and clustering. Additionally, you should have knowledge and experience of prompting Large Language Models (LLMs) for NLP tasks like classification, creative generation, and reasoning. Experience with data processing techniques and tools like Spark, Airflow, Azure AI Foundry, and cloud platforms such as Azure will be advantageous. The company is DGS India located in Bengaluru at Manyata N1 Block under the brand Merkle. This is a full-time permanent position.,

As the Lead Developer for a next-generation data processing engine, your role involves overseeing the architecture, design, and implementation of an advanced system that leverages accelerated computing technology. You will collaborate with cross-functional teams to enhance Datapelagos" parallel and distributed execution engine, focusing on accelerated computing. Your specific responsibilities include: - Leading the execution engine team in designing, implementing, and deploying an enterprise-grade acceleration engine for data processing. - Developing, testing, and maintaining key components of the execution engine. - Identifying areas for differentiation and enhancements within the execution engine. - Coordinating with other teams to facilitate code reviews, design reviews, performance evaluations, and continuous improvement initiatives. To qualify for this role, you should have: - A Bachelor's degree in EE/CS or equivalent with over 15 years of experience, or a Master's degree with over 10 years of experience. - Extensive experience (10+ years) in developing core components of enterprise-grade databases or analytics execution engines for large-scale data processing workloads, with a preference for platforms like Apache Spark, Gluten, Velox, and DataFusion. - Proficiency in creating high-performance parallel implementations of data processing operators and functions (e.g., joins, aggregations, sorts). - Previous experience leading teams of 10 or more members in the design, development, and release of high-performance data processing engines for large-scale deployments. - Strong programming skills in C, C++, and Rust, along with a robust development background on Linux platforms. This opportunity offers a challenging yet rewarding environment where you can contribute to the advancement of cutting-edge data processing technology.,