5,220 Full-time smt process engineer jobs in India.

... problem-solving, communication, and teamwork skills. Preferred Qualifications ▪ Experience with engineering workflow automation, simulation integration, and digital engineering solutions. ▪ Experience with configuration management systems and engineering data management processes. ▪ Knowledge of engineering data storage, retrieval, ...

... the world's largest financial market infrastructure companies handles its data pipelines. During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, ...

... Technology, Engineering, or a related field. Experience: - 3–6 years of experience in Data Engineering or related roles. - Hands-on experience with big data processing frameworks, data lakes, and cloud-native services. Skills: Core Skills: - Proficiency in Python, SQL, and PySpark for data processing and manipulation. - ...

... Implement validation checks and monitoring mechanisms to ensure data accuracy and pipeline reliability. - Document data flows, transformation logic, and technical processes for maintainability. 3. Data Engineering - Develop scalable data processing solutions using appropriate programming languages and data technologies. - Integrate ...

... and recommend innovative solutions to enhance data quality and analytics capabilities. Qualifications - Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field. - At least 3 years of professional experience as a Data Engineer or similar role. - Proficiency in data platforms ...

... Development Main Location: To be confirmed Position ID: J1026-0057 Employment Type: Full Time Position Description: We are looking for an experienced Data Engineer with strong expertise in SQL, Python, PySpark, ETL/ELT processes, data modeling, and data pipeline development. The ideal candidate will have hands-on experience ...

... and governance capabilities. - Apply AI tools to automate data quality reviews, validation, and field mastering. About You: - 7+ years of experience in Data Engineering, Privacy Engineering, or Identity Resolution. - Data engineer with Snowflake, DBT, Python, OneTrust, Identity Resolution/MDM experience. - Strong SQL and ...

... similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios. What are we looking for? We're in search of a Data Engineer who brings a passion for innovation and problem-solving, not limited to traditional data engineering. This role is for those with deep expertise in building ...

... development and maintenance of complex data engineering projects and pipelines for the G2 data platform. You'll lead and contribute significantly to complex data engineering projects and the implementation of complex ETL and ELT processes within an AWS and Snowflake ecosystem, demonstrating expertise in scalable and efficient ...

... role Our data engineers build and run the data pipelines and platforms that bp pulse relies on every day. The team builds on Databricks and AWS. As a Data Engineer, you will build and maintain data pipelines, help keep our data accurate and well-governed, and work closely with senior engineers who will support your growth. ...

... enterprise‑scale , Databricks based data mesh platform at Syngenta. - This role focuses on platform reliability, scalability, security, and enablement of data engineers, analytics, and data science teams , enable domain autonomy to ingest, process, and share data using Databricks , while ensuring security, quality, and interoperability. ...

... Starburst, and/or Dremio. - Develop secure, governed, and scalable data pipelines aligned with enterprise standards. - Support batch and near real-time data processing requirements. - Implement data quality, metadata management, and validation controls. - Collaborate with Platform Engineers on deployment, integration, and ...

... ETL/ELT concepts. - Experience working in Agile teams (Scrum, sprint planning, etc.). - Experience with data integration tools is preferred. - Knowledge of data engineering best practices across the development lifecycle, including coding standards, code reviews, source management, build processes, testing, and operations. Nice ...

... workflows that support analytics, operational reporting, and AI/ML applications. The ideal candidate should have strong expertise in Python, SQL, cloud-based data engineering, and distributed data processing https://jobeax.com/link/LNO4qyefA3UlJa2l Responsibilities :- Design, build, and maintain scalable batch and streaming data ...

... AI/agentic workflows, AI agents, or workflow automation solutions. • Experience applying AI to automate data engineering, validation, troubleshooting, or operational processes. • Familiarity with orchestration and automation frameworks. • Experience developing reusable data engineering frameworks and platform components. • Exposure ...

... SQL, and related data technologies. - Support the definition and evolution of data models across raw, curated, and consumption layers. - Collaborate with data engineers and architects to define data inputs, transformations, outputs, dependencies, and data flows. - Define data quality standards, validation rules, business logic, ...

The purpose of the Data Engineer role is to transform diverse and complex data sources into reliable, accessible, and trusted datasets that support Ferrero’s business, digital, and Data & AI transformation objectives. With a primary focus on North American markets, the role will develop and optimize data pipelines across ...

We are looking for a Data Engineer to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows. The mandatory requirements are 3+ years of Python, advanced SQL, Snowflake data modeling, and hands-on experience with Airflow, Spark/PySpark, and AWS S3. RECRUITMENT PROCESS 1. Application ...

... Guide teams in troubleshooting and resolving complex issues in distributed systems and data pipelines. - Drive the adoption of automation, CI/CD, and quality engineering practices at scale. - Coach and mentor engineering teams, fostering a culture of continuous improvement and technical excellence. - Collaborate with cross-functional ...

... management for 15–20 engineers — performance, development, retention - Primary escalation point for delivery issues with stakeholders Required - 10+ years in data engineering or analytics delivery, including 10+ managing engineers directly - Hands-on Jira: workflows, custom fields, JQL, board and dashboard configuration. Able ...