Data and Analytics Engineer in India, India is listed on Jobeax. Browse 30,000+ vacancies available.
As a key member of the QTC, you will play a pivotal role in migrating data from diverse sources and applications, developing solutions, validating systems, and addressing various challenges in enterprise applications. You will be involved in the complete development lifecycle—from analysis and design to testing and release—focusing on delivering solutions that align with business goals, technical requirements, and best practices. Capture operational metrics and performance indicators to highlight the value of team deliverables and enhance visibility into operations. Flexibility for travel is required. Design, code, and review solutions to ensure high standards of quality. Prepare and report project performance metrics and KPIs. Qualifications & Experience Bachelor's degree in computer science or a related field with 5+ years of experience in ETL development or similar roles. Proven expertise in managing large data volumes and working with diverse data sources. Strong analytical skills with a track record of success in enterprise applications or integration projects. Hands-on experience using industry best practices for standards and methodologies. Hands-on experience withUnix Shell Scripting. Strong analytical skills for data engineering tasks. Familiarity with tools likeApache Airflowfor data migration workflows. Experience with database systems such asOracle,MySQL, orDB2. Knowledge of legacy data migration from diverse sources. Previous experience with data migration to platforms like ServiceNow. Familiarity with Siebel Complex assets data model.
... EquivalentMust-Have Skills : - Strong hands-on experience in SAP Analytics Cloud (SAC)- Experience in SAC Reporting, Models, Stories & Dashboards- Strong experience in SAP Datasphere / SAP DWC- Experience with Live Connections between SAC & SAP Datasphere- Strong SQL & Python skills- Python experience with Pandas, NumPy, Scikit-learn, ...
... Performance Tracking Monitor digital marketing KPIs using Google Analytics, Google Search Console, Meta Business Suite, and other reporting tools. Generate weekly and monthly performance reports. Analyze user behavior, traffic trends, lead sources, and campaign effectiveness. Recommend data-driven improvements for digital initiatives. ...
... software or engineering solutions. Required Skills Strong understanding of engineering design and manufacturing workflows. Experience with LinkedIn Sales Navigator and CRM tools. Knowledge of MIDC/manufacturing industries and territory sales. Strong communication, presentation, and negotiation skills. Ability to build relationships ...
... software or engineering solutions. Required Skills Strong understanding of engineering design and manufacturing workflows. Experience with LinkedIn Sales Navigator and CRM tools. Knowledge of MIDC/manufacturing industries and territory sales. Strong communication, presentation, and negotiation skills. Ability to build relationships ...
... reports. - Follow Good Documentation Practices (GDP) and data integrity requirements. - Ensure adherence to ISO 13485 Medical Device Quality Management System and internal SOPs. 4. Cross-Functional Collaboration - Work closely with Manufacturing, Engineering, R&D, and Quality Assurance teams to resolve quality issues. - ...
... on leadership with Trust.' About The Role An IC Test Development Engineer develops and implements automated test equipment and programs for design verification and production testing of integrated circuits (ICs). This includes designing electronic circuits, writing test software, and ensuring robust and cost-effective testing ...
... Learn: - Aerospace manufacturing engineering processes - Application of DFA/DFM principles in real production environments. - Assembly installation sequencing and shop floor execution for complex aerospace products. - ERP/PLM tools such as SAP, Teamcenter, Solumina and related manufacturing systems for product data and ...
... periodically and addressing their issues on time. Required:- Proven hands-on work experience as a Sales Engineer Proven track record selling Industrial Products and Systems. Ability to cohere with and build long lasting relationship with customer. Ability to creatively present and explain products & concepts in an easy to ...
... seeking an experienced Data Architect - Data Engineering & Business Intelligence to lead and influence the design, governance, and evolution of our enterprise data platform. This role is responsible for defining the architectural vision across Data Engineering, Business Intelligence, Analytics, Metadata Management, Data ...
... Best Workplace for Women in the UK & Ireland by GPTW - We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. 5+ Years as a Data Engineer Consultant Senior, you will design, build and support modern data and analytics ...
Job Description – Data Engineer Experience: 5–7 Years Role: Sr. Data Engineer Department: Data Engineering / Product Engineering Role Overview We are looking for an experienced Data Engineer with 5–7 years of hands-on experience in ETL/ELT, database engineering, Big Data processing, and complex bi-directional data integrations ...
... progress, performance metrics, and adoption tracking in making AI-ready and critical data sources available for innovation Drive insight into areas of efficiency and risk through consolidation and reengineering of data flows Lead data quality issue root cause analysis using deep data profiling and advanced analytics techniques, ...
... professional experience in data engineering, with a focus on data modelling and transformation. Programming: Strong proficiency in SQL and Python for data processing and pipeline development. Data Platforms: Hands-on experience with Snowflake, dbt, and modern cloud data warehouses. Data Modelling: Deep experience with dbt and ...
... transformation, and storage of large-scale social and broadcast data. Working under the guidance of an experienced Data Engineers and Architects, you will gain hands-on experience designing and maintaining scalable, efficient data pipelines that support enterprise web applications, analytics, and business intelligence. We ...
... enterprise-wide data engineering strategy. It ensures the design, implementation, and continuous improvement of data pipelines, scalable and reusable frameworks, and implement data governance and data quality engines. The position enables trusted, governed data across systems, supporting analytics, compliance, and business ...
... Certifications (Preferred) - Databricks Certified Associate Developer for Apache Spark - Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer) - Relevant data engineering or big data certifications Soft Skills - Strong problem-solving and analytical ...
... Design and optimize data models and schema structures.- Develop analytics dashboards and reporting solutions using Amazon QuickSight.- Implement CI/CD pipelines and Infrastructure as Code (IaC).- Monitor and maintain data platforms using observability and monitoring tools.- Collaborate with Data Scientists, ML Engineers, ...
... All 5 days Role Overview We're seeking a Senior Data Engineer with strong hands-on expertise in Python, PySpark, and AWS to design, build, and operate scalable data pipelines for analytics and operational workloads. You will own end-to-end data engineering — from ingestion to delivery — across batch and near-real-time patterns, ...
... business, reporting, analytics, and application teams to understand data requirements and provide appropriate solutions. Follow data security, governance, and engineering best practices. Participate in code reviews and help improve development standards across the team. 7+ years of experience in Data Engineering, Data Warehousing, ...
... Collaborate with the Data Architect to understand data platform requirements and design specifications. Assist with data modelling and optimization tasks. Document the data platform architecture, processes, and best practices. Stay up to date with the latest trends and technologies in full stack development, data engineering, and ...