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.
... while designing and executing strategies that align workforce capabilities with the agility required to stay ahead of what's next. We are currently hiring for Data Engineer | Digital Analytics expert for global healthcare and health insurance domain. based healthcare provider and health insurance organization delivering ...
... delivering cutting-edge data engineering, analytics, and AI solutions for enterprise clients https://jobeax.com/link/uw09q4zp7W2jeNTj :- Design and develop scalable data pipelines using PySpark and Spark SQL on Azure Databricks.- Build and orchestrate ETL workflows using Azure Data Factory (ADF) and ADLS.- Develop and maintain ...
... data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Are you ready to make an impact and help shape what's next Join us! We are looking for a Data Engineer to join our team and contribute to building and ...
... to solve meaningful engineering challenges, grow your technical ownership, and collaborate with experienced engineers across the development lifecycle. Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, ...
... and detail-oriented Associate Data Engineer to join our growing data team. If you are a recent graduate passionate about data and eager to build a career in data engineering, this is the perfect opportunity for you! In this role, you will work closely with senior engineers to build, maintain, and optimize data pipelines. ...
... facilitate smooth data flow and integration. Enforce best practices in observability, data governance, security, and regulatory compliance Minimum 7 years as a Data Engineer or similar role. Hands-on experience with Databricks, Delta Lake, Spark, and Scala. Proven ability to design, build, and operate Data Lakes or Data Warehouses. ...
... and development Data quality validation and monitoring Schema design for analytics and reporting Performance optimization and scalability Preferred Experience Databricks Delta Lake experience Azure Synapse Analytics Python for data engineering Spark SQL optimization Real-time data streaming Data governance and metadata management ...
... build robust data pipelines, data lakes, and marts to support business analysts and data scientists. Key Responsibilities Modern Data Platform Development: Build data lake components on cloud-based platforms Design and develop data marts for business analysts and data scientists Data Engineering & Pipelines: Design data pipelines ...
... Responsibilities : - Architect and maintain complex data models that serve as the foundation for enterprise-wide reporting and advanced analytics, ensuring high data integrity and performance.- Lead the end-to-end design and implementation of scalable ETL/ELT pipelines within the Snowflake environment to streamline data ingestion ...
... Platform Re-Engineering Lead (Azure Synapse & Databricks Migration) Role Overview We are looking for a highly experienced Senior Data Engineer to lead the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics. The role requires deep technical seniority to audit, understand, and validate a ...
... documentation, and data quality. Terraform) and contribute to CI/CD and deployment practices. Partner with Engineering, and Data Science to deliver low-latency signals and features for real-time decisioning. Solid engineering foundation with 5+ years of relevant experience in data engineering and/or distributed systems. Hands-on ...
... experienced AWS Data Engineer with 6 - 8 years of hands-on experience in designing, developing, and maintaining scalable data engineering solutions on AWS. The ideal candidate should have strong expertise in Python, PySpark, SQL, and AWS data services, with experience building robust ETL pipelines and Cloud-based data https://jobeax.com/link/JcPnJNS8HEL7JdHn ...
... dedicated to innovation and excellence in data https://jobeax.com/link/fc637Lq7iXaUjBEJ mission is to empower businesses through advanced data engineering and analytics, fostering a culture of collaboration and continuous https://jobeax.com/link/yeka7e9uOhXV2ngJ the Role :We are seeking a Senior Fabric Data Engineer who can ...
... proficiency in Python, PySpark, Spark, Databricks, Delta Lake, PowerBI and SQL, with hands-on experience using - Azure Data Factory, Azure Pipelines, Azure DevOps, and Git for version control. - Proven experience working with Azure Databricks and PySpark/Spark for data engineering tasks and Power BI as data analytics work - ...
Senior Data Engineer Starts Immediately Competitive salary Competitive salary Experience We are looking for a Senior Data Engineer to join our team. In this role, you will design, build, and optimize scalable data pipelines on the Databricks Lakehouse Platform. You will partner with data science, analytics, and business ...
GCP Data Engineer Mandatory Skills Relevant work experience between 3 to 7 years. Proficient Experience on designing, building and operationalizing large-scale enterprise data solutions using at least four GCP services among Data Flow, Data Proc, Pub Sub, BigQuery, Cloud Functions, Composer, GCS Proficient hands-on programming ...
... services. Implement ETL processes with AWS Glue, Lambda, and DBT. Work with PySpark and SQL to transform and cleanse data. Configure and manage Airflow workflows and Amazon EMR clusters. Integrate data services with API Gateway and REST/Soap APIs. Required qualifications - 3 to 5 years of experience in data engineering. - ...
... applicant About the job Job Purpose: Design and implement scalable data engineering and data warehouse solutions while managing data schemas, SQL query tuning, and code reviews. Who You Are: - 5+ years of experience in Data Engineering, with strong knowledge of Data Platforms and Data Warehousing - 2+ years of hands-on experience ...
... a skilled Data Engineer to help scale and enhance our internal data observability and analytics platform. This platform integrates with data annotation tools and ML pipelines to provide visibility, insights, and automation across large-scale data operations. You will design and optimize robust data pipelines, build integrations ...
... Responsibilities Develop, test, and maintain scalable Python applications. Work with large datasets to extract, transform, and analyze data. Build and optimize data pipelines and workflows. Perform data cleaning, validation, and preprocessing. Collaborate with cross-functional teams including data analysts and engineers. ...