Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Python (Programming ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Large Language Models (LLMs) ...
Data Scientist Starts Immediately Competitive salary Competitive salary Experience Data Scientist RightProfile Mumbai (Hybrid) Full-time 23 yrs Syntellect is building the intelligence layer for lending in markets where bureau data stops. RightProfile our field AI platform is live across India and East Africa, and expanding ...
... Description :As part of the cybersecurity organization, the Data Engineer is responsible for designing, building, and maintaining data infrastructure to support data-driven decision-making. This role involves working with large datasets, developing reports, executing data governance initiatives, and ensuring data is accessible, ...
... all data products align with enterprise data platform strategy (Lakehouse, AWS/GCP) Collaborate with architecture teams to ensure Scalability and performance, Data quality, lineage, and governance compliance. Promote data reuse and asset standardization across use cases and drive adoption of best practices in data modeling ...
... experience working with real-world datasets. Experience in data cleaning, preprocessing, and exploratory data analysis. Hands-on exposure to SQL, Excel, Python, and data analytics tools. Experience creating dashboards, visualizations, and analytical reports. Practical understanding of data-driven decision-making. Experience communicating ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Data Engineering Minimum 5 ...
... seasoned Senior Data Scientist with e-commerce expertise to join our dynamic team. Must-Have Skills: Machine Learning Algorithms, Python or R Programming, Big Data Technologies (Hadoop, Spark, or equivalent), Data Visualization Tools (Tableau, Power BI, or similar), SQL and Data Modeling Expertise. Data Analysis & Insights ...
... Permanent position(Payroll and Compliance to be managed by: UNF) (*CA, Accounting, B2B, Finance, Goods and Services Tax filings, Tally, Zoho Books, SaaS Finance Associate Department - Finance and Compliance Reports To - Farheen Anwar, Finance Controller Work Mode - 5 days in-office aligned to India business hours This role is ...
Experience: 3 -5 Years (In Data Analytics) Mode: Hybrid - Fulltime Location: Bangalore Must Have Skills: Advanced SQL, Complex queries, Business Analysis, Experimentation Prefer: Immediate Joiners/Serving Notice Key Skills & Qualifications: Advanced SQL expertise with strong proficiency in writing and optimizing complex ...
... Machine Learning, Scikit-learn, XgBoost, SQL GeoIQ (a Lenskart subsidiary) is India's leading hyperlocal location AI platform, helping businesses make precise, data-driven decisions using street-level intelligence across demographics, income, infrastructure, and commercial activity. As a Data Scientist, you will be a core ...
... including generative AI and LLM-based approaches - using enterprise business data, knowledge graphs, business process intelligence, and structured and unstructured data assets. - Learn SAP's deep data and process context - data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, ...
... Integration: Build and manage data pipelines to ingest data from various sources, including third-party and RESTful APIs. Build ETL/ELT processes using ADF, Fabric Data Flows , and Notebooks. Embed MDM solutions into pipelines, ensuring seamless data sync across systems. Data Storage and Management: Design and implement data ...
... across Manufacturing, Industrial, Consumer, Life Sciences and High-Tech industries. GyanSys provides Digital Transformation services leveraging SAP, Salesforce, Databricks, Snowflake, Application Modernisation and various AI projects. We are looking to add experienced Data Scientist to expand our Microsoft Practice with the ...
... candidate-screening and interviewing skills Ability to work independently from home Reliable internet connection and professional work-from-home setup Strong computer and data-entry skills Good knowledge of recruiting processes and candidate sourcing Strong work ethic and consistent attendance Ability to meet measurable productivity ...
... Fintech & Product Advisory - Advise Product, Engineering, and Growth teams on compliant data usage (e.g. KYC, AML, transaction monitoring), Support cross-border data transfer mechanisms Data Subject Rights & Governance - Oversee handling of Data Subject Access Requests (DSARs), consent management, and data lifecycle policies, ...
... detail-oriented and reliable Data Entry Operator to join the operations team. The ideal candidate will be responsible for entering, updating, and maintaining accurate data in oracle and system and databases. You will work closely with other team members to ensure data integrity and smooth daily operations. Key Responsibilities - ...
Project Role : Infrastructure Engineer Project Role Description : Assist in defining requirements, designing and building data center technology components and testing efforts. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Security Services Minimum 7.5 Year(s) Of Experience Is ...
... including generative AI and LLM-based approaches — using enterprise business data, knowledge graphs, business process intelligence, and structured and unstructured data assets. - Learn SAP's deep data and process context — data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, ...