Total 37 structural engineer job vacancies in Pune

We are seeking an experienced and skilled  ETL Developer/ Data Engineer with a strong background in Data Warehouse, Data Vault and Snowflake Cloud technologies.

The candidate must possess deep understanding of ETL architecture and best practices, coupled with the ability to design, develop, and maintain robust ETL solutions for our data-driven organization.

As an ETL Developer/ Data Engineer, you will play a critical role in building and optimizing our data integration processes to support business analytics and decision-making.

Skills:

• Mandatory: Snowflake, dbt, Fivetran, sql.
• Good to have : Python for data analytics.

Responsibilities:

•            ETL Architecture and Design: Designing and implementing ETL & CDC solutions, considering scalability, maintainability, and performance. Collaborating with data architects and stakeholders to define ETL specifications and data integration requirements.

•            Data Warehouse and Data Vault Development: Building and managing data warehouses and data vaults to ensure efficient data storage and retrieval. Employing best practices for data modeling, schema design, and data lineage.

•            Snowflake Cloud Expertise: Demonstrating expertise in Snowflake Cloud data warehousing platform. Utilizing Snowflake's features and capabilities to optimize ETL performance and data processing.

•            ETL Development: Developing, testing, and maintaining ETL workflows, data pipelines, and data transformations using ETL tools like DBT, Qlik compose etc.

•            Performance Optimization: Identifying and resolving performance bottlenecks in ETL processes to ensure data processing efficiency and reduce load times.

•            Data Quality and Validation: Implementing data quality checks, validation, and error handling within ETL processes to ensure data accuracy and consistency.

•            Documentation and Best Practices: Creating detailed technical documentation, including data mappings, ETL specifications, and system architecture. Promoting and adhering to ETL best practices and standards.

•            Collaboration and Teamwork: Collaborating with cross-functional teams, including data engineers, data analysts, and business stakeholders, to understand data requirements and deliver high-quality data solutions.

•            Troubleshooting and Support: Investigating and resolving ETL-related issues, providing technical support, and participating in on-call rotations if required.

•            Continuous Learning and Innovation: Staying up-to-date with the latest trends and advancements in ETL technologies, data warehousing, and cloud-based data solutions. Identifying opportunities for process improvement and innovation.

THE POSITION: The IT Security Engineer is responsible for the operation of information protection technologies and the execution of information security policy and procedures. Position encompasses the participation in the EVERSANA security operations team and the testing and enforcement of appropriate Standard Operating Procedures and Key Performance Indicators. The IT Security Engineer will work closely with other IT peers and stakeholders in other departments to support the security of the environment as well as management and deployment of new cost/time-effective security solutions for all aspects of EVERSANA.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by:

• Recommend and install appropriate IT security tools to prevent cyberattack

• Performs periodic security tool administration and maintenance to maintain proper function

• Conducts regular analysis of known assets to identify all vulnerabilities and track remediation.

• Monitors systems for newly released vulnerabilities that present high risk to EVERSANA.

• Participate in periodic testing of disaster recovery and business continuity plans.

• Works hand in hand with the regulatory compliance team to implement solutions that meet the needs of the business and reduce risk to an acceptable level.

• Demonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias.

• All other duties as assigned.

We are seeking a Senior DevOps Engineer / SRE to take end-to-end ownership of infrastructure reliability, scalability, security, and cost efficiency across both IT services projects and product-based platforms. This role goes beyond pipeline management—you will be responsible for production stability, system observability, performance optimization, and cloud cost governance, supporting applications built using Node.js, JavaScript, React.js, React Native, and Python, deployed across monolithic, microservices, and serverless architectures.

Key Responsibilities
● Own production infrastructure reliability, uptime, and performance across all environments

● Architect, deploy, and maintain scalable, secure AWS infrastructure and dedicated servers

● Design and manage containerized workloads using Docker and orchestration platforms (ECS / EKS / Kubernetes)

● Build, optimize, and enforce CI/CD pipelines using GitHub Actions and modern Git workflows

● Implement infrastructure as code (IaC) using Terraform or CloudFormation

● Establish and maintain monitoring, logging, and alerting systems for proactive incident detection

● Define and track SLOs, SLIs, and error budgets aligned with business priorities

● Lead incident response, root cause analysis (RCA), and post-mortems

● Optimize AWS cloud costs through right-sizing, usage analysis, and architectural improvements Support high-traffic and multi-tenant SaaS systems with a focus on isolation and scalability

● Ensure security, compliance, access control, secrets management, and audit readiness

● Collaborate closely with backend, frontend, and mobile teams to improve reliability and deployment workflows

● Maintain clear documentation for infrastructure, operational processes, and runbooks

Purpose

• Develop and maintain robust data pipelines and infrastructure to support the creation of a supply chain digital twin.
• Enable accurate, real-time, and predictive insights by integrating and transforming data from diverse sources.

Collaborate with cross-functional teams to enhance supply chain visibility, performance, and decision-making through advanced data engineering practices

Accountabilities

• Design and implement data pipelines to integrate real-time and historical data from multiple sources, including IoT devices, ERP systems, and external data feeds, into the digital twin environment.
• Assist with data extraction, transformation, and loading (ETL/ELT) processes using modern tools and frameworks.
• Ensure the accuracy, completeness, and timeliness of data feeding into the digital twin by implementing robust data validation, monitoring, and quality assurance processes.
• Collaborate with supply chain analysts and simulation experts to model and optimise the digital twin, enabling predictive insights and decision-making for supply chain performance improvements.
• Collaborate with data analysts, data scientists, and stakeholders to understand data requirements and provide technical support.
• Develop and maintain technical documentation for data processes and infrastructure.
• Assist in implementing and maintaining data governance and security best practices.
• Contribute to the optimisation of databases and query performance.
• Support the integration of third-party data sources and APIs.
• Participate in team code reviews, ensuring quality and adherence to standards.
• Stay up to date with emerging technologies, tools, and best practices in data engineering.

Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.

The Data Engineer will architect, develop, and maintain scalable data pipelines within a medallion architecture (bronze, silver/base vault, business vault, gold layers). This role is key in enabling high-quality, business-ready datasets by leveraging modern data engineering technologies and orchestration practices.

Role Responsibilities:

• Design, build, and manage end-to-end data pipelines across the medallion architecture—specifically the bronze, silver (base vault with DBT and orchestration tools, business vault), and gold layers.

• Ingest and process raw data using Spark and Amazon EMR for scalable, distributed computation.

• Develop and automate data transformations for the base vault using DBT (Data Build Tool) to standardize and model data efficiently.

• At least 5 years of experience as an Elasticsearch Data Engineer - ELK (Elasticsearch, Logstash, and Kibana) stack Expert knowledge)
• Java Spring Boot 
• IBM ACE Programming
• BS in Computer Science, Data Engineering (Big Data, AWS certification), Data Modeling or similar
• Full English Fluency

Skills & Competencies

•  Strong understanding of data modeling, governance, and best practices in modern data architectures.
•  Excellent analytical, problem-solving, and communication skills.

Software / Tool Skills

• Elasticsearch - cluster optimization, query development, data modeling, performance tuning  & administration (4-6 Years) (Must)
• Deep experience with Spark, Python and ETLs and Amazon EMR (Must)
•  Hands-on experience with DBT for data transformation and modeling.
•  Apache Airflow, AWS Step Functions, or similar. (Must)
• Expert knowledge of Amazon S3 and Apache Iceberg for data storage and management.
• Experience with Kubernetes for container orchestration.
• Experience with Dremio, Looker, or equivalent business view/semantic layer technologies
• AWS Cloud – Intermediate, AWS Lambda (Must) , Step Functions, IAM, SNS, API Gateway, VPC, Transit Gateway, Intermediate (3-4 Years)
• JSON - Intermediate (4-6 Years)
• Jenkins – Data Pipeline Intermediate (4-6 Years) PLUS
• CloudWatch - Intermediate (4-6 Years) PLUS

This position comes with competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.

• Become a substential part of the Data Platform team, which provides engineering services across the Media Measurement department.   
• Design, develop, test and deploy big data applications and pipelines.
• Ensure that your and the teams work follow best practices for ensuring validity, efficiency and maintainability.
• Collaborate in a distributed, cross-functional agile team of Data Scientists and Cloud Engineers to reached shared goals.
• Take ownership of technical implementations and architecture together with your team and in alignment with communities of practices.
• Communicate with data producers & consumers to align on data exchange formats and interfaces.
• Provide suggestions to business in the Media Measurement context on how existing and new data sources can be utilized to enhance our existing product portfolio.
• Recommend different ways to constantly improve data reliability and quality.

The successful candidate will be responsible for delivering competitive Project specific techno-commercial bids and clean handover for execution in collaboration with stakeholders, that primarily include, front end Sales teams, Global Engineering, Order Engineering, Global operations etc.

Key Responsibilities:

Pre-Order phase

• Ensure selection, sizing, and on-time delivery of competitive techno-commercial project proposals against Request for Quotations for Mechanical Sealing Solutions (Seals and Seal Support systems)
• Review, Interpret and Establish project specific requirements in collaboration with Global Stakeholders, from tender documents including but not limited to:
• Instructions to Bidders, Equipment Datasheets, Material Requisition, P&ID (Piping and Instrumentation Drawings), instrument Hook Up, Logical diagrams, key delivery dates, applicable INCOTERMS, and other contractual terms & conditions
• Manage Techno-Commercial clarifications, Exceptions and Deviations
• Co-ordinate with Project Application and Global Engineering teams to obtain sign off for non-standard or special applications as necessary
• Manage techno-commercial scope for Seal Support systems (Auxiliary Systems) internally through Fluid Control teams
• Provide investment case analysis and margin summary to Global Project Sales Managers from time to time
• Create / enhance the workflow processes and procedures where required
• Mentor new engineers and support them in their development
• Check and approve the offers as per delegation of authority level
• Support and work on departmental strategic initiatives and objectives
• Support line managers in preparing monthly and executive reports as needed
• To cover for team supervisor in his/her absence

Post order phase

• Contract review and Order acknowledgement against purchase orders 
• Release clear techno-commercial order handover to Engineering and Global operations
• Ensure efficient support on techno-commercial queries or conflicts arising through Project Delivery office during execution phase, where necessary
• Provide guidance and support to Engineers
• Check the post order documents from Engineers

Key Accountabilities:

• Delivering competitive Project specific techno-commercial bids
• Provide investment case analysis and margin summary to Project Sales Managers
• Clear contract review and Order acknowledgement against purchase orders