10,339 junior data engineer jobs in India.

...By 20 Aug' 26 Posted 3 weeks ago Job 1000+ applicants About the job Key Responsibilities: 1. Assist in end-to-end recruitment: posting openings, screening resumes, coordinating interviews, and communicating with candidates. 2. Work with department heads to...

...documents are accurate and up to date. 3. Coordinate attendance, leave management, and payroll inputs using HRMS. 4. Assist in recruitment activities, including job postings, interview scheduling, and candidate coordination. 5. Support employee engagement initiatives,...

... updates on compliance efforts and to obtain feedback on compliance policies and procedures. Requirements · Strong understanding of Cloud resources, processes, and data. Should have a good understanding of how Cloud resources and processes work and how data flows through them. · Good understanding of Cloud governance principles ...

... standards and is reviewed by the next-level reviewer. As an influential member of the team, you’ll help to create a positive learning culture, coach and counsel junior team members and help them to develop. As a member of the Identity and Access Management (IAM) team this position will contribute towards execution of an IAM ...

... when the platform needs to go further — you're the person in the field who knows exactly where the edges are and why they matter Multiply the Team - Mentor junior engineers, turn recurring field challenges into reusable design patterns and accelerators, and close out every project with a documented customer story — quantified ...

... engineering company focused on helping enterprises solve complex data, AI and cloud transformation challenges. Founded in 1991, Impetus has grown into a global engineering organization serving data-driven enterprises and Fortune 100/500 clients. Its capabilities span cloud engineering, data engineering, enterprise AI, application ...

... folks who have already exposed themselves to this exciting opportunity via AWS Bedrock or Google Vertex.Cross-functional Collaboration :- Partner with product, engineering, and marketing teams to understand business requirements and translate them into data science https://jobeax.com/link/tesCTldPRrRSglrt You Are :Education ...

... a platform for talented technologists who want to make a real impact for their clients. Some of the world's biggest businesses turn to us to help bring their data strategy, AI, cloud engineering and digital solutions to life. We're the home base for talented technologists who want more and are looking to take their career ...

... influence architecture decisions, and drive adoption across multiple engineering teams.- GraphRAG, LangGraph, LangChain, MCP (Model Context Protocol).- Vector Databases, Enterprise Search, AI Observability.- LLM Evaluation Frameworks.- AI Platform Engineering & Agentic AI Systems.- Financial Services, Payments, Insurance, ...

... models. Translate business and risk questions into well-defined analytical approaches, model specifications, and measurable outcomes. Prepare and analyze complex datasets, conduct exploratory analysis, engineer features, and establish reproducible modeling datasets and workflows. Apply appropriate statistical techniques, assumptions, ...

... a platform for talented technologists who want to make a real impact for their clients. Some of the world's biggest businesses turn to us to help bring their data strategy, AI, cloud engineering and digital solutions to life. We're the home base for talented technologists who want more and are looking to take their career ...

... resolution Monitor vendor performance and quality of deliverables Drive collaboration across Data Platform, Engineering, BI, Governance and vendors teams Ensure all data products align with enterprise data platform strategy (Lakehouse, AWS/GCP) Collaborate with architecture teams to ensure Scalability and performance, Data quality, ...

... 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, ...

... 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Experience in advisory / consulting in data governance Good understanding of different data governance standards especially GDPR/ NDMO / DAMA Minimum 15+ ...

... concepts to non-technical stakeholders. - Proficiency in data analysis tools and programming languages such as Python, R, SQL, and Amazon Athena - Experience with data visualization tools (e. g., Tableau, Power BI). - Knowledge of data warehousing concepts and experience working with large datasets. - Deploying analytical solutions ...

... projects. - Experience working within complex organizational settings (e.g., PMO, geographic dispersion, etc.). - Experience with colocation and large-scale data center operations. - Experience with operations third-party colocation environments, including familiarity with supply chain and logistics concepts. - Strong ...

... information-heavy platforms, including roadmap ownership and KPI-driven execution. - Deep expertise in leveraging data for product decision-making - Strong understanding of data workflows, data quality, and automation for data operations. - Hands-on experience working with Product, Engineering, Data Science, and Analytics teams to translate ...

... with cross-functional leadership to identify high-value opportunities where predictive analytics can optimize client workflows and revenue streams.- Mentor junior data scientists and engineers by fostering a culture of technical rigor, code quality, and continuous learning.- Communicate complex analytical findings to non-technical ...

... proven leadership experience managing, growing, and guiding specialized data science teams on production-level projects.- Masters or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a highly quantitative field (preferred).Core Technical Toolkit:- Advanced Data Science: Deep expertise in Machine ...

... organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. ...