11,280 site reliability engineer jobs in India.

... 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 ...

... https://jobeax.com/link/HKCzVTU4Xc4wuMt4 are bold in our actions, nimble in our decision-making, and industrious in the way we https://jobeax.com/link/1EWGGcV2ZlQ16wIp : Associate Manager - Data EngineeringJob Description : The Associate Manager Data Engineering will lead the design, development, and optimization of data pipelines and platforms supporting analytics, ...

... 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 ...

Job Overview:We are looking for a Data Engineering Manager with 10 - 15 years of experience to lead data engineering initiatives, build scalable data pipelines, manage data lake architecture, and enable real-time analytics and AI use cases. The role will work closely with application, ML, analytics, and business teams while ...

... building enterprise-grade data pipelines, and delivering analytics-ready data products. The candidate should possess deep technical knowledge across the data engineering lifecycle, from ingestion and transformation to modelling and consumption, while driving delivery through engineering best practices, automation, and stakeholder ...

... environments (Data Lake, Data Warehouse, Ingestion and Processing pipelines), including migration from legacy systems and ongoing optimization. • Lead team and engineering excellence Manage and mentor a central team of data engineers, drive code quality, reviews, best practices, automation, and a culture of continuous improvement ...

... we have gained invaluable experience in the field of High-Frequency Trading (HFT) across different asset classes. About the Role: We are looking for a Data Engineer to join our team at NK Securities. Data is at the core of everything we do, and this role will own how we source, store, validate, and understand it. You'll ...

... data jobs, checks, reports, and delivery. You will work with Operations and client teams on questions of progress, quality, pay, and files, and with platform engineers when a fix belongs in the product. Worker payouts and client deliverables depend on getting these checks right. Responsibilities • Run and monitor data jobs ...

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 ...

Thermo Fisher Scientific seeks a Data Engineer II to design and optimize data pipelines on the Enterprise Data Platform, supporting R&D teams across the organization. The role involves cloud-based data solutions, real-time and batch processing, and collaboration with cross-functional teams in an agile environment. Responsibilities ...

We are seeking a Data Engineer to join our team. The role will involve building and maintaining data pipelines and collaborating closely with stakeholders. Key responsibilities - Design and develop scalable data pipelines using AWS services. - Implement ETL processes with AWS Glue, Lambda, and DBT. - Work with PySpark and ...

... documentation. - Collaborate with clients and stakeholders to gather requirements and ensure project lifecycle adherence. Required qualifications - Bachelor’s degree in Engineering (https://jobeax.com/link/2DENLGgQM7whDhaE) or equivalent. - 3-5 years of experience in data engineering. - Proficiency in SQL and Pyspark. - Experience with ...

Role Summary : The Data Engineer is the foundation of the AI CoE. You build and maintain the robust, scalable, and efficient data pipelines that feed clean, reliable data to the data scientists and ML models. You ensure that data is accessible, organized, and of high https://jobeax.com/link/x9syMwGh42X5veir Responsibilities ...

... engineering solutions.- Develop and manage ETL/ELT pipelines for data ingestion, transformation, and processing.- Work extensively with Databricks for data engineering and data processing requirements.- Develop and optimize data solutions using GCP BigQuery.- Develop data engineering solutions using Python.- Write and optimize ...

... and related technologies.- Experience working on/with complex data platforms and large-scale data environments.- The requirement is specifically for a Data Engineer / Big Data Engineer, not a generic application/development profile.- Candidates should have strong engineering experience around Big Data/Hadoop platforms.- ...

... governance, security, and industry best practices.- Collaborative Enablement : Partner with Dev, QA, and Ops teams to improve deployment efficiency, platform reliability, and overall engineering productivity.- Continuous Feedback : Feed recurring payload and system failure signatures back to integration and AI engineers to ...

Job Description We are seeking a hands-on Data Engineer to support a large-scale data platform modernization initiative. You will migrate approximately 1,000 datasets to Snowflake, adapt existing pipelines, and help deliver reliable orchestration with Apache Airflow 3. The architecture and technical approach are already ...

... Analytics Secondary Technology: Teradata Proficiency - Secondary Technology: Advanced Other Skills: Data Modeling (Mandatory) Familiarity with modern data engineering practices and ETL/ELT frameworks. Strong expertise in Data Modeling (Conceptual, Logical, and Physical Data Models). Qualifications Work Result: Developement ...

... company consume. You will also administer the data infrastructure we own, such as Snowflake, dbt Cloud, Airflow, and Kafka, with deep ownership of governance, reliability, and cost. Your customers are other engineers, analytics engineers, data scientists, and operations teams. The platform you build is what makes their work ...

... 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, ...