26 Dataops Jobs

Knowledge and application: Seasoned, experienced professional; has complete knowledge and understanding of area of specialization. Uses evaluation, judgment, and interpretation to select right course of action. Problem solving: Works on problems of diverse scope where analysis of information requires evaluation of identifiable factors. Resolves and assesses a wide range of issues in creative ways and suggests variations in approach. Interaction: Enhances relationships and networks with senior internal/external partners who are not familiar with the subject matter often requiring persuasion. Works with others outside of own area of expertise, with the ability to adapt style to differing audiences and often advises others on difficult matters. Impact: Impacts short to medium term goals through personal effort or influence over team members. Accountability: Accountable for own targets with work reviewed at critical points. Work is done independently and is reviewed at critical points. Workplace type : Hybrid Working

DataOps Specialist - Azure - 5+ Years - Gurugam Are you a data enthusiast with expertise in Azure and DataOps? Do you have experience working with data pipelines, data warehousing, and analytics? Our client, a leading organization in Gurugam, is looking for a DataOps Specialist with 5+ years of experience. If you are passionate about leveraging data to drive business insights and decisions, this role is for you! Location : Gurugam Your Future Employer : Our client is a prominent player in the industry and is committed to creating an inclusive and diverse work environment. They offer ample opportunities for professional growth and development, along with a supportive and collaborative culture. Responsibilities Design, build, and maintain data pipelines on Azure platform Work on data warehousing solutions and data modeling Collaborate with cross-functional teams to understand data requirements and provide solutions Implement and manage data governance and security practices Troubleshoot and optimize data processes for performance and reliability Stay updated with the latest trends and technologies in DataOps and analytics Requirements 5+ years of experience in data engineering, DataOps, or a related field Proven expertise in working with Azure data services such as Azure Data Factory, Azure Synapse Analytics, etc. Strong understanding of data warehousing concepts and data modeling techniques Proficiency in SQL, Python, or other scripting languages Experience with data governance, security, and compliance Excellent communication and collaboration skills What's in it for you : As a DataOps Specialist, you will have the opportunity to work on cutting-edge data technologies and make a significant impact on the organization's data initiatives. You will be part of a supportive team that values innovation and encourages continuous learning and development. Reach us : If you feel this opportunity is well aligned with your career progression plans, please feel free to reach me with your updated profile at rohit.kumar@crescendogroup.in Disclaimer : Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status or disability status. Note : We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated. Scammers can misuse Crescendo Globals name for fake job offers. We never ask for money, purchases, or system upgrades. Verify all opportunities at www.crescendo-global.com and report fraud immediately. Stay alert! Profile keywords : DataOps, Azure, Data Engineering, Data Warehousing, Analytics, SQL, Python, Data Governance

Overview: Who are we looking for The ideal candidate has an emphasis on data infrastructure to help operationalize and maintain machine learning models and pipelines. The candidate will love automating via Infrastructure as code (IaC), be comfortable with AWS cloud services, and can design and implement end-to-end data and analytic infrastructure solutions. As an offshore Senior DataOps Engineer , this candidate has the opportunity to innovate the way we do healthcare analytics and data. The candidate will be working closely with the Advanced Analytic and Data Engineering team to leverage the best technologies to establish a DataOps culture. Our goal is to enable fault tolerant, highly available, and accurate data ecosystem for advanced analytic projects. Qualifications: Minimum 3 years of professional experience working with analytics, databases, and data systems Have a strong knowledge of IaC automation principles H ave expertise with Terraform and ideally a good knowledge of Ansible Have experience with scripting and programming languages shell scripting (Not Mandatory) and Python (Required) Have a good understanding of CI/CD and test automation Have experience building docker containers, using version control and git in collaborative environments Collaborative and pragmatic with great communication skills Enthusiast, keen to pick up new tools and technologies and work with emerging technology Preferred: Professional experience architecting/operating Data / DevOps solutions built on Azure What are my responsibilities Automate and enhance data lake ecosystem and machine learning pipelines using Terraform, CloudFormation/or CDK Play a central role in a forming team to create easy ways of data access and ingest it into the data store in a reliable way Build CI/CD pipelines for advanced analytic applications and operationalize predicative models along the (cloud) Data Engineer Develop, deploy and operate dockerized data and model applications in Azure cloud-based environment. Work closely with Infrastructure team and Security team, monitor data services (e.g. Azure Synapse Analytics) and ensure data governance and quality. How to apply: Please share your updated resume to adithya.krishnan@terralogic.com

Overview In this role, we are seeking an Associate Manager Offshore Program & Delivery Management to oversee program execution, governance, and service delivery across DataOps, BIOps, AIOps, MLOps, Data IntegrationOps, SRE, and Value Delivery programs. This role requires expertise in offshore execution, cost optimization, automation strategies, and cross-functional collaboration to enhance operational excellence. Manage and support DataOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in real-time monitoring, automated alerting, and self-healing mechanisms to improve system reliability and performance. Contribute to the development and enforcement of governance models and operational frameworks to streamline service delivery and execution roadmaps. Support the standardization and automation of pipeline workflows, report generation, and dashboard refreshes to enhance efficiency. Collaborate with global teams to support Data & Analytics transformation efforts and ensure sustainable, scalable, and cost-effective operations. Assist in proactive issue identification and self-healing automation, enhancing the sustainment capabilities of the PepsiCo Data Estate. Responsibilities Support DataOps and SRE operations, assisting in offshore delivery of DataOps, BIOps, Data IntegrationOps, and related initiatives. Assist in implementing governance frameworks, tracking KPIs, and ensuring adherence to operational SLAs. Contribute to process standardization and automation efforts, improving service efficiency and scalability. Collaborate with onshore teams and business stakeholders, ensuring alignment of offshore activities with business needs. Monitor and optimize resource utilization, leveraging automation and analytics to improve productivity. Support continuous improvement efforts, identifying operational risks and ensuring compliance with security and governance policies. Assist in managing day-to-day DataOps activities, including incident resolution, SLA adherence, and stakeholder engagement. Participate in Agile work intake and management processes, contributing to strategic execution within data platform teams. Provide operational support for cloud infrastructure and data services, ensuring high availability and performance. Document and enhance operational policies and crisis management functions, supporting rapid incident response. Promote a customer-centric approach, ensuring high service quality and proactive issue resolution. Assist in team development efforts, fostering a collaborative and agile work environment. Adapt to changing priorities, supporting teams in maintaining focus on key deliverables. Qualifications 6+ years of technology experience in a global organization, preferably in the CPG industry. 4+ years of experience in Data & Analytics, with a foundational understanding of data engineering, data management, and operations. 3+ years of cross-functional IT experience, working with diverse teams and stakeholders. 12 years of leadership or coordination experience, supporting team operations and service delivery. Strong communication and collaboration skills, with the ability to convey technical concepts to non-technical audiences. Customer-focused mindset, ensuring high-quality service and responsiveness to business needs. Experience in supporting technical operations for enterprise data platforms, preferably in a Microsoft Azure environment. Basic understanding of Site Reliability Engineering (SRE) practices, including incident response, monitoring, and automation. Ability to drive operational stability, supporting proactive issue resolution and performance optimization. Strong analytical and problem-solving skills, with a continuous improvement mindset. Experience working in large-scale, data-driven environments, ensuring smooth operations of business-critical solutions. Ability to support governance and compliance initiatives, ensuring adherence to data standards and best practices. Familiarity with data acquisition, cataloging, and data management tools. Strong organizational skills, with the ability to manage multiple priorities effectively.

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

Overview In this role, we are seeking an Associate Manager Offshore Program & Delivery Management to oversee program execution, governance, and service delivery across DataOps, BIOps, AIOps, MLOps, Data IntegrationOps, SRE, and Value Delivery programs. This role requires expertise in offshore execution, cost optimization, automation strategies, and cross-functional collaboration to enhance operational excellence. Manage and support DataOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in real-time monitoring, automated alerting, and self-healing mechanisms to improve system reliability and performance. Contribute to the development and enforcement of governance models and operational frameworks to streamline service delivery and execution roadmaps. Support the standardization and automation of pipeline workflows, report generation, and dashboard refreshes to enhance efficiency. Collaborate with global teams to support Data & Analytics transformation efforts and ensure sustainable, scalable, and cost-effective operations. Assist in proactive issue identification and self-healing automation, enhancing the sustainment capabilities of the PepsiCo Data Estate. Responsibilities Support DataOps and SRE operations, assisting in offshore delivery of DataOps, BIOps, Data IntegrationOps, and related initiatives. Assist in managing day-to-day DataOps activities, including incident resolution, SLA adherence, and stakeholder engagement. Assist in implementing governance frameworks, tracking KPIs, and ensuring adherence to operational SLAs. Contribute to process standardization and automation efforts, improving service efficiency and scalability. Promote a customer-centric approach, ensuring high service quality and proactive issue resolution. Collaborate with onshore teams and business stakeholders, ensuring alignment of offshore activities with business needs. Monitor and optimize resource utilization, leveraging automation and analytics to improve productivity. Support continuous improvement efforts, identifying operational risks and ensuring compliance with security and governance policies. Participate in Agile work intake and management processes, contributing to strategic execution within data platform teams. Provide operational support for cloud infrastructure and data services, ensuring high availability and performance. Document and enhance operational policies and crisis management functions, supporting rapid incident response. Promote a customer-centric approach, ensuring high service quality and proactive issue resolution. Assist in team development efforts, fostering a collaborative and agile work environment. Adapt to changing priorities, supporting teams in maintaining focus on key deliverables. Qualifications 6+ years of technology experience in a global organization, preferably in the CPG industry. 4+ years of experience in Data & Analytics, with a foundational understanding of data engineering, data management, and operations. 3+ years of cross-functional IT experience, working with diverse teams and stakeholders. 12 years of leadership or coordination experience, supporting team operations and service delivery. Strong communication and collaboration skills, with the ability to convey technical concepts to non-technical audiences. Customer-focused mindset, ensuring high-quality service and responsiveness to business needs. Experience in supporting technical operations for enterprise data platforms, preferably in a Microsoft Azure environment. Basic understanding of Site Reliability Engineering (SRE) practices, including incident response, monitoring, and automation. Ability to drive operational stability, supporting proactive issue resolution and performance optimization. Strong analytical and problem-solving skills, with a continuous improvement mindset. Experience working in large-scale, data-driven environments, ensuring smooth operations of business-critical solutions. Ability to support governance and compliance initiatives, ensuring adherence to data standards and best practices. Familiarity with data acquisition, cataloging, and data management tools. Strong organizational skills, with the ability to manage multiple priorities effectively.

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

Roles & Responsibilities Design and implement scalable, modular, and future-proof data architectures supporting enterprise initiatives Develop enterprise-wide data frameworks for governed, secure, and accessible data across business domains Define data modeling strategies for structured and unstructured data ensuring efficiency and usability across analytics platforms Lead development of high-performance data pipelines for batch and real-time processing, integrating APIs, streaming, transactional systems, and external data platforms Optimize query performance, indexing, caching, and storage to enhance scalability, cost efficiency, and analytics capabilities Establish data interoperability frameworks enabling seamless integration across multiple sources and platforms Drive data governance strategies, embedding security, compliance, access controls, and lineage tracking into enterprise data solutions Implement DataOps best practices including CI/CD for pipelines, automated monitoring, and proactive issue resolution to improve operational efficiency Lead Scaled Agile (SAFe) practicesfacilitate PI Planning, Sprint Planning, and Agile ceremonies ensuring iterative delivery of data capabilities Collaborate with business stakeholders, product teams, and technology leaders to align data architecture with organizational goals Act as trusted advisor on emerging data technologies and trends to maintain competitive advantage and long-term scalability Must-Have Skills Experience in data architecture, enterprise data management, and cloud-based analytics solutions Expertise in Biotech/Pharma domain with strong data strategy problem-solving Proficiency in Databricks, cloud-native platforms, and distributed computing frameworks Strong knowledge of modern data modeling techniques: dimensional modeling, NoSQL, data virtualization Experience designing high-performance ETL/ELT and real-time data pipelines Deep understanding of data governance, security, metadata management, and access control Hands-on with CI/CD for data solutions, DataOps automation, and infrastructure-as-code (IaC) Proven cross-functional collaboration with executives, engineers, and analytics teams Strong problem-solving, strategic thinking, and technical leadership Experience with SQL/NoSQL databases, vector databases for LLMs Skilled in data modeling and performance tuning for OLAP and OLTP systems Experience with Apache Spark, Apache Airflow Familiarity with software engineering best practices: version control (Git/Subversion), CI/CD tools (Jenkins/Maven), automated testing, DevOps Good-to-Have Skills Experience with Data Mesh architectures and federated governance models Certifications in cloud data platforms or enterprise architecture Knowledge of AI/ML pipeline integration in enterprise data architectures Familiarity with BI & analytics platforms enabling self-service and enterprise reporting Education & Professional Certifications 9 to 12 years of experience in Computer Science, IT or related field AWS Certified Data Engineer (preferred) Databricks Certificate (preferred)

Roles & Responsibilities Lead and manage the enterprise data operations team responsible for data ingestion, processing, validation, quality control, and publishing Define and implement SOPs for data lifecycle management ensuring data accuracy, completeness, and integrity Oversee and improve daily operational workflows: scheduling, monitoring, troubleshooting data jobs across cloud and on-prem environments Establish and track key data operations metrics (SLAs, throughput, latency, data quality, incident resolution) and drive continuous improvement Partner with data engineering and platform teams to optimize pipelines, support integrations, and ensure scalability and resilience Collaborate with governance, compliance, and security teams to maintain regulatory compliance, data privacy, and access controls Serve as the primary escalation point for data incidents and outages, ensuring rapid response and root cause analysis Build strong relationships with business and analytics teams to understand data needs and prioritize operational goals Drive adoption of best practices for documentation, metadata, lineage, and change management Mentor and develop a high-performing team of data operations analysts and leads Must-Have Skills Experience managing data engineering teams in biotech/pharma domains Expertise in designing and maintaining ETL data pipelines and analytics solutions Hands-on experience with cloud platforms (AWS preferred) for scalable, cost-effective data solutions Experience managing data workflows on AWS, Azure, or GCP Strong problem-solving and analytical skills for complex data flow issues Proficiency in SQL, Python, or scripting for process monitoring and automation Collaboration experience across data engineering, analytics, IT ops, and business teams in matrix organizations Familiarity with data governance, metadata management, access control, and compliance frameworks (GDPR, HIPAA, SOX) Excellent leadership, communication, and stakeholder management skills Knowledge of full stack development, DataOps automation, logging frameworks, and pipeline orchestration tools Good-to-Have Skills Data Engineering management experience in Biotech/Life Sciences/Pharma Experience with graph databases (Stardog, Marklogic, Neo4J, Allegrograph) Education & Professional Certifications Doctorate degree with 3-5+ years experience OR Master's degree with 6-8+ years experience OR Bachelor's degree with 10-12+ years experience in Computer Science, IT, or related field AWS Certified Data Engineer (preferred) Databricks Certificate (preferred) Scaled Agile SAFe certification (preferred) Soft Skills Excellent analytical and troubleshooting skills Strong verbal and written communication Ability to work effectively with global, virtual teams High initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented mindset focused on achieving goals Strong presentation and public speaking skills

Mandatory Skills : AWS Architect, AWS Glue or Databricks, PySpark, and Python- Hands-on experience with AWS Glue or Databricks, PySpark, and Python.- Minimum of 2 years of hands-on expertise in PySpark, including Spark job performance optimization techniques.- Minimum of 2 years of hands-on involvement with AWS Cloud - Hands on experience in StepFunction, Lambda, S3, Secret Manager, Snowflake/Redshift, RDS, Cloudwatch- Proficiency in crafting low-level designs for data warehousing solutions on AWS cloud.- Proven track record of implementing big-data solutions within the AWS ecosystem including Data Lakes.- Familiarity with data warehousing, data quality assurance, and monitoring practices.- Demonstrated capability in constructing scalable data pipelines and ETL processes.- Proficiency in testing methodologies and validating data pipelines.- Experience with or working knowledge of DevOps environments.- Practical experience in Data security services.- Understanding of data modeling, integration, and design principles.- Strong communication and analytical skills.- A dedicated team player with a goal-oriented mindset, committed to delivering quality work with attention to detail.- Solution Design : Collaborate with clients and stakeholders to understand business requirements and translate them into cloud-based solutions utilizing AWS services (EC2, Lambda, S3, RDS, VPC, IAM, etc.).- Architecture and Implementation : Design and implement secure, scalable, and high-performance cloud solutions, ensuring alignment with AWS best practices and architectural principles.- Cloud Migration : Assist with the migration of on-premise applications to AWS, ensuring minimal disruption and maximum efficiency.- Technical Leadership : Provide technical leadership and guidance to development teams to ensure adherence to architecture standards and best practices.- Optimization : Continuously evaluate and optimize AWS environments for cost, performance, and security.- Security : Ensure the cloud architecture adheres to industry standards and security policies, using tools like AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), and encryption protocols.- Documentation & Reporting : Create clear technical documentation to define architectural decisions, solution designs, and cloud configurations.- Stakeholder Collaboration : Work with cross-functional teams including developers, DevOps, QA, and business teams to align technical solutions with business goals.- Continuous Learning : Stay updated with the latest AWS services, tools, and industry trends to ensure the implementation of cutting-edge solutions.- Strong understanding of AWS cloud services and architecture.- Hands-on experience with Infrastructure as Code (IaC) tools like AWS CloudFormation, Terraform, or AWS CDK.- Knowledge of networking, security, and database services within AWS (e.g., VPC, IAM, RDS, and S3).- Familiarity with containerization and orchestration using AWS services like ECS, EKS, or Fargate.- Proficiency in scripting languages (e.g., Python, Shell, or Node.js).- Familiarity with CI/CD tools and practices in AWS environments (e.g., CodePipeline, Jenkins, etc.). Soft Skills :Communication Skills :- Clear and Concise Communication : Ability to articulate complex technical concepts in simple terms for both technical and non-technical stakeholders.- Active Listening : Ability to listen to business and technical requirements from stakeholders to ensure the proposed solution meets their needs.- Documentation Skills : Ability to document technical designs, solutions, and architectural decisions in a clear and well-organized manner.Leadership and Team Collaboration :- Mentoring and Coaching : Ability to mentor junior engineers, providing guidance and fostering professional growth.- Cross-functional Teamwork : Collaborating effectively with various teams such as developers, DevOps, QA, business analysts, and security specialists to deliver integrated cloud solutions.- Conflict Resolution : Addressing and resolving conflicts within teams and stakeholders to ensure smooth project execution.Problem-Solving and Critical Thinking :- Analytical Thinking : Ability to break down complex problems and develop logical, scalable, and cost-effective solutions.- Creative Thinking : Think outside the box to design innovative solutions that maximize the value of AWS technologies.- Troubleshooting Skills : Quickly identifying root causes of issues and finding solutions to mitigate them.Adaptability and Flexibility :- Handling Change : Ability to adapt to evolving requirements, technologies, and business needs. Cloud technologies and customer requirements change quickly.- Resilience : Ability to deal with challenges and setbacks while maintaining a positive attitude and focus on delivering results.Stakeholder Management :- Client-facing Skills : Ability to manage client relationships, understand their business needs, and translate those needs into cloud solutions.- Negotiation Skills : Negotiating technical aspects of projects with clients or business units to balance scope, resources, and timelines.- Expectation Management : Ability to set and manage expectations regarding timelines, deliverables, and technical feasibility.Decision-Making :- Sound Judgment : Making well-informed and balanced decisions that consider both technical feasibility and business impact.- Risk Management : Ability to assess risks in terms of cost, security, and performance and make decisions that minimize potential issues Preferred Skills :- Familiarity with DevOps practices and tools (e.g., Jenkins, Docker, Kubernetes).- Experience with serverless architectures using AWS Lambda, API Gateway, and DynamoDB.- Exposure to multi-cloud architectures (AWS, Azure, Google Cloud).Why Join Us ?- Competitive salary and benefits.- Opportunity to work on cutting-edge cloud technologies.- A dynamic work environment where innovation is encouraged.- Strong focus on professional development and career growth.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position In Roche Informatics, we build on Roche's 125-year history as one of the world's largest biotech companies, globally recognized for providing transformative innovative solutions across major disease areas. We combine human capabilities with cutting-edge technological innovations to do now what our patients need next. Our commitment to our patients needs motivates us to deliver technology that evolves the practice of medicine. Be part of our inclusive team at Roche Informatics, where we're driven by a shared passion for technological novelties and optimal IT solutions. About the position Data Engineer, who will work closely with multi-disciplinary and multi-cultural teams to build structured, high-quality data solutions. The person may be leading technical squads. These solutions will be leveraged across Enterprise , Pharma and Diagnostics solutions to help our teams fulfill our mission: to do now what patients need next. In this position, you will require hands-on expertise in ETL pipeline development, data engineering. You should also be able to provide direction and guidance to developers, oversee the development and unit testing, as well as document the developed solution. Building strong customer relationships for ongoing business is also a key aspect of this role. To succeed in this position, you should have experience with Cloud-based Data Solution Architectures, the Software Development Life Cycle (including both Agile and waterfall methodologies), Data Engineering and ETL tools/platforms, and data modeling practices. Your key responsibilities: Building and optimizing data ETL pipelines to support data analytics Developing and implementing data integrations with other systems and platforms Maintaining documentation for data pipelines and related processes Logical and physical modeling of datasets and applications Making Roche data assets accessible and findable across the organization Explore new ways of building, processing, and analyzing data in order to deliver insights to our business partners Continuously refine data quality with testing, tooling and performance evaluation Work with business and functional stakeholders to understand data requirements and downstream analytics needs. Partner with business to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements. Foster a data-driven culture throughout the team and lead data engineering projects that will have an impact throughout the organization. Work with data and analytics experts to strive for greater functionality in our data systems and products and help to grow our data team with exceptional engineers. Your qualifications and experience: Education in related fields (Computer Science, Computer Engineering, Mathematical Engineering, Information Systems) or job experience preferably within multiple Data Engineering technologies. 4+ years experience with ETL development, data engineering and data quality assurance. Good Experience on Snowflake and its features. Hands on experience as Data Engineering in Cloud Data Solutions using Snowflake . Experienced working with Cloud Platform Services (AWS/Azure/GCP) . Experienced in ETL/ETL technologies like Talend/DBT or other ETL platforms . Experience in preparing and reviewing new data flows patterns. Excellent Python Skills Strong RDBMS concepts and SQL development skills Strong focus on data pipelines automation Exposure in quality assurance and data quality activities are an added advantage. DevOps/ DataOps experience (especially Data operations preferred) Readiness to work with multiple tech domains and streams Passionate about new technologies and experimentation Experience with Inmuta and Montecarlo is a plus What you get: Good and stable working environment with attractive compensation and rewards package (according to local regulations) Annual bonus payment based on performance Access to various internal and external training platforms (e.g. Linkedin Learning) Experienced and professional colleagues and workplace that supports innovation Multiple Savings Plans with Employer Match Company's emphasis on employees wellness and work-life balance ( (e.g. generous vacation days and OneRoche Wellness Days ), Workplace flexibility policy State of art working environment and facilities And many more that the Talent Acquisition Partner will be happy to talk about! Who we are A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let's build a healthier future, together. Roche is an Equal Opportunity Employer.

Overview In this role, we are seeking a Senior Manager Offshore Program & Delivery Management to oversee program execution, governance, and service delivery across DataOps, BIOps, AIOps, MLOps, Data IntegrationOps, SRE, and Value Delivery programs. This role requires strong expertise in offshore execution, cost optimization, automation strategies, and cross-functional collaboration to drive operational excellence. Manage and execute DataOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Oversee real-time monitoring, automated alerting, and self-healing mechanisms to improve system reliability and performance. Develop and enforce governance models and operational frameworks to streamline service delivery and execution roadmaps. Drive standardization and automation of pipeline workflows, report generation, and dashboard refreshes to enhance efficiency. Collaborate with global teams to support Data & Analytics transformation efforts and ensure sustainable, scalable, and cost-effective operations. Support proactive issue identification and self-healing automation, enhancing the sustainment capabilities of the PepsiCo Data Estate. Responsibilities Manage and oversee offshore teams delivering DataOps, BIOps, Data IntegrationOps, FinOps, AIOps, MLOps, and SRE initiatives to drive operational excellence. Implement governance frameworks, define KPIs, and establish operational SLAs to ensure efficiency and quality in offshore execution. Drive process standardization, cost optimization, and automation adoption to enhance service scalability and effectiveness. Collaborate with onshore teams, business leaders, and stakeholders to ensure seamless execution and alignment of offshore deliverables with business goals. Optimize resource utilization by leveraging automation and AI-driven insights to improve productivity and streamline operations. Ensure continuous improvement, risk mitigation, and compliance adherence across offshore programs to maintain operational integrity. Act as a key liaison between IT, business leaders, data stewards, and compliance teams to ensure alignment with regulatory and security requirements. Monitor and enhance end-to-end Data Operations and sustainment processes, including testing, monitoring, and support for global data products. Manage day-to-day DataOps activities, ensuring adherence to SLAs, incident resolution, and engaging with SMEs to meet business demands. Contribute to work intake and Agile management processes, supporting data platform teams in executing strategic initiatives effectively. Foster strong relationships with senior stakeholders and executives, ensuring transparency, proactive risk assessment, and continuous communication. Collaborate across teams to address cloud infrastructure and data service challenges, ensuring high system availability and performance. Develop and automate operational policies and crisis management functions to minimize downtime and enhance incident response. Champion a customer-obsessed culture, advocating for high-quality service delivery and continuous process enhancements. Build and develop a high-performing team, fostering a diverse and agile work environment that aligns with business objectives. Adapt quickly to changing priorities, ensuring teams remain productive and focused on key deliverables. Leverage cloud and high-performance computing expertise to establish trust, drive innovation, and enhance the overall customer experience. Qualifications 12+ years of technology experience in a large-scale global organization, preferably in the CPG industry. 8+ years of experience in Data & Analytics, with a strong understanding of data engineering, data management, and operations. 7+ years of cross-functional IT experience, collaborating across multiple teams and stakeholders. 5+ years of leadership/management experience, overseeing teams and driving operational excellence. Familiarity with Site Reliability Engineering (SRE) principles, including automated issue resolution and scalability improvements. Excellent communication skills, with the ability to empathize with stakeholders and explain technical issues to varied audiences. Strong customer focus, advocating for end-user needs and delivering high-quality experiences. Proactive problem-solving mindset, taking ownership of issues and driving resolution. Ability to learn and adapt in a fast-paced environment, staying up to date with emerging technologies and methodologies. Experience in technical support and operations for mission-critical solutions in a Microsoft Azure environment. Familiarity with Site Reliability Engineering (SRE) principles, including automated issue resolution and scalability improvements. Proven ability to drive operational excellence, ensuring stability and performance in complex enterprise environments. Experience managing large-scale operational services in dynamic and evolving technology landscapes. Strategic thinking capabilities, focusing on cost efficiency, operational effectiveness, and delivery speed. Ability to develop and execute strategic plans, aligning technology roadmaps with business objectives. Strong relationship-building skills, fostering trust and collaboration across IT and business functions. Proven ability to align business and IT priorities, identifying mutually beneficial solutions. Experience leading cross-functional and virtual teams, effectively communicating vision and objectives. Demonstrated success in delivering high-impact results in complex and transformational projects. Experience with multi-country/global implementations, particularly involving data and analytics. Understanding of master data management, data governance, and analytics frameworks. Knowledge of data acquisition, data cataloging, and data management tools. Strong influencing and negotiation skills, with the ability to engage and persuade stakeholders at all levels.

Overview Visionary Director. In this role, we are seeking a Director Offshore Program & Delivery Management to oversee end-to-end program execution, governance, and service delivery for DataOps, BIOps, AIOps, MLOps, Data IntegrationOps, SRE, and Value Delivery programs. This role requires expertise in multi-site delivery models, offshore execution, cost optimization, automation strategies, and cross-functional collaboration. Lead and manage large-scale DataOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Oversee the implementation of real-time monitoring, automated alerting, and self-healing Data platforms to improve uptime and performance. Develop and enforce Data and AI governance models, operational frameworks, and execution roadmaps for seamless delivery. Ensure the standardization and automation of pipeline workflows, report generation, and dashboard refreshes. Lead and manage the full people, process and technology driven Data & Analytics platform technology strategy and cultural shift for PepsiCo IT to a world class data first organization working across all Sector S&T. Champion of PepsiCos Data & Analytics program and platform management supporting large scale global data engineering efforts partnering across S&T organization Support Data & Analytics Technology Transformations to provide full sustainment capabilities across the PepsiCo Data Estate, including data platform management automation of proactive issue identification and self-healing abilities. Responsibilities Actively manage Senior/Executive level relationships up to CEO Strategic: Rapidly create and manage automation-based and structured processes. Collaborate with cross-functional teams to identify and resolve issues related to cloud infrastructure and data services. Develop and automate operational policies and procedures. Establish crisis management functions that ensure world class time to mitigate for service outages and incidents. Develop and maintain strong relationships with the customer audience. Leverage your skills such as active listening, problem-solving, and being transparent to address difficult customer situations requiring you to set and manage customer expectations while maintaining a trusted customer. Enable a customer obsessed environment where team members can relentlessly champion and advocate for our customers. Build a team culture that thrives on customer obsession. Work collaboratively with wider PepsiCo colleagues to ensure your customer is delighted with their Azure cloud experience. Attract and build a diverse, high-performing team with capabilities needed to achieve current and future business objectives. Remove barriers to agility and enable the team to shift priorities quickly without losing productivity. Develop the appropriate organizational structure, resource plans and culture to support the business objectives and customer deliverables. Leverage your technical and operations expertise in cloud and high-performance computing to establish a solid understanding of the business, customers need, and ability to earn trust in relationships. Qualifications 15+ years of technology work experience in a large-scale Global organization CPG preferred. 10+ years of experience working in Data& Analytics field. 10+ years of experience working within a cross-functional IT organization. 8+ years of experience in leadership/management experience. Excellent Communication: must have the ability to empathize with customers and convey confidence. Able to explain highly technical issues to varied audiences. Able to prioritize and advocate customers needs to the proper channels. Take ownership Make it happen Delight the customer. Customer Obsession: Passion for customers and focus on delivering the right customer experience. Growth mindset: Openness and ability to learn new skills and technologies in a fast-paced environment. Experience in a leadership role in technical support for mission critical solutions in an Microsoft Azure environment. Site Reliability Engineering experience with modern site reliability practices including automated remediation of issues, or improved scalability, etc. Experience driving Operational Excellence in operating large complex mission critical solutions. Significant experience in delivering large scale operational services in a complex-change environment. Critical Strategic thought leadership - business value focus: cost reduction/reduce costs. Critical Strategic thought leadership Operational effectiveness: increase delivery speed / reduce time Ability to create strategic plans spanning multiple time horizons and across multiple partner Teams. Ability to build cross-functional relationships through trust, respect, and partnership. Ability to discern perceived differing priorities between the business and IT, and identifying a path forward that is mutually beneficial. Experience in driving consensus around and across virtual teams and multiple functions through clear communication of vision and objectives, thorough planning, effective execution, and realization of desired benefits. Track record of consistently delivering excellent results in challenging and/or transformational environments. Experience working across the PepsiCo organization, ideally with multi-country or global implementation experience involving data. Knowledge of some of the key concepts around master data management, data standards, analytics, and digital transformation. Strong knowledge and understanding of data acquisition, data catalogues, data standards, and data management tools. Strong Communication Skills/Able to Persuade/Influence Others at all Organization Levels and the ability foster lasting partnerships.

Overview In this role, we are seeking an Associate Manager Offshore Program & Delivery Management to oversee program execution, governance, and service delivery across DataOps, BIOps, AIOps, MLOps, Data IntegrationOps, SRE, and Value Delivery programs. This role requires expertise in offshore execution, cost optimization, automation strategies, and cross-functional collaboration to enhance operational excellence. Manage and support DataOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in real-time monitoring, automated alerting, and self-healing mechanisms to improve system reliability and performance. Contribute to the development and enforcement of governance models and operational frameworks to streamline service delivery and execution roadmaps. Support the standardization and automation of pipeline workflows, report generation, and dashboard refreshes to enhance efficiency. Collaborate with global teams to support Data & Analytics transformation efforts and ensure sustainable, scalable, and cost-effective operations. Assist in proactive issue identification and self-healing automation, enhancing the sustainment capabilities of the PepsiCo Data Estate. Responsibilities Support DataOps and SRE operations, assisting in offshore delivery of DataOps, BIOps, Data IntegrationOps, and related initiatives. Assist in implementing governance frameworks, tracking KPIs, and ensuring adherence to operational SLAs. Contribute to process standardization and automation efforts, improving service efficiency and scalability. Collaborate with onshore teams and business stakeholders, ensuring alignment of offshore activities with business needs. Monitor and optimize resource utilization, leveraging automation and analytics to improve productivity. Support continuous improvement efforts, identifying operational risks and ensuring compliance with security and governance policies. Assist in managing day-to-day DataOps activities, including incident resolution, SLA adherence, and stakeholder engagement. Participate in Agile work intake and management processes, contributing to strategic execution within data platform teams. Provide operational support for cloud infrastructure and data services, ensuring high availability and performance. Document and enhance operational policies and crisis management functions, supporting rapid incident response. Promote a customer-centric approach, ensuring high service quality and proactive issue resolution. Assist in team development efforts, fostering a collaborative and agile work environment. Adapt to changing priorities, supporting teams in maintaining focus on key deliverables. Qualifications 6+ years of technology experience in a global organization, preferably in the CPG industry. 4+ years of experience in Data & Analytics, with a foundational understanding of data engineering, data management, and operations. 3+ years of cross-functional IT experience, working with diverse teams and stakeholders. 12 years of leadership or coordination experience, supporting team operations and service delivery. Strong communication and collaboration skills, with the ability to convey technical concepts to non-technical audiences. Customer-focused mindset, ensuring high-quality service and responsiveness to business needs. Experience in supporting technical operations for enterprise data platforms, preferably in a Microsoft Azure environment. Basic understanding of Site Reliability Engineering (SRE) practices, including incident response, monitoring, and automation. Ability to drive operational stability, supporting proactive issue resolution and performance optimization. Strong analytical and problem-solving skills, with a continuous improvement mindset. Experience working in large-scale, data-driven environments, ensuring smooth operations of business-critical solutions. Ability to support governance and compliance initiatives, ensuring adherence to data standards and best practices. Familiarity with data acquisition, cataloging, and data management tools. Strong organizational skills, with the ability to manage multiple priorities effectively.

Overview In this role, we are seeking an Associate Manager Offshore Program & Delivery Management to oversee program execution, governance, and service delivery across DataOps, BIOps, AIOps, MLOps, Data IntegrationOps, SRE, and Value Delivery programs. This role requires expertise in offshore execution, cost optimization, automation strategies, and cross-functional collaboration to enhance operational excellence. Manage and support DataOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in real-time monitoring, automated alerting, and self-healing mechanisms to improve system reliability and performance. Contribute to the development and enforcement of governance models and operational frameworks to streamline service delivery and execution roadmaps. Support the standardization and automation of pipeline workflows, report generation, and dashboard refreshes to enhance efficiency. Collaborate with global teams to support Data & Analytics transformation efforts and ensure sustainable, scalable, and cost-effective operations. Assist in proactive issue identification and self-healing automation, enhancing the sustainment capabilities of the PepsiCo Data Estate. Responsibilities Support DataOps and SRE operations, assisting in offshore delivery of DataOps, BIOps, Data IntegrationOps, and related initiatives. Assist in implementing governance frameworks, tracking KPIs, and ensuring adherence to operational SLAs. Contribute to process standardization and automation efforts, improving service efficiency and scalability. Collaborate with onshore teams and business stakeholders, ensuring alignment of offshore activities with business needs. Monitor and optimize resource utilization, leveraging automation and analytics to improve productivity. Support continuous improvement efforts, identifying operational risks and ensuring compliance with security and governance policies. Assist in managing day-to-day DataOps activities, including incident resolution, SLA adherence, and stakeholder engagement. Participate in Agile work intake and management processes, contributing to strategic execution within data platform teams. Provide operational support for cloud infrastructure and data services, ensuring high availability and performance. Document and enhance operational policies and crisis management functions, supporting rapid incident response. Promote a customer-centric approach, ensuring high service quality and proactive issue resolution. Assist in team development efforts, fostering a collaborative and agile work environment. Adapt to changing priorities, supporting teams in maintaining focus on key deliverables. Qualifications 6+ years of technology experience in a global organization, preferably in the CPG industry. 4+ years of experience in Data & Analytics, with a foundational understanding of data engineering, data management, and operations. 3+ years of cross-functional IT experience, working with diverse teams and stakeholders. 12 years of leadership or coordination experience, supporting team operations and service delivery. Strong communication and collaboration skills, with the ability to convey technical concepts to non-technical audiences. Customer-focused mindset, ensuring high-quality service and responsiveness to business needs. Experience in supporting technical operations for enterprise data platforms, preferably in a Microsoft Azure environment. Basic understanding of Site Reliability Engineering (SRE) practices, including incident response, monitoring, and automation. Ability to drive operational stability, supporting proactive issue resolution and performance optimization. Strong analytical and problem-solving skills, with a continuous improvement mindset. Experience working in large-scale, data-driven environments, ensuring smooth operations of business-critical solutions. Ability to support governance and compliance initiatives, ensuring adherence to data standards and best practices. Familiarity with data acquisition, cataloging, and data management tools. Strong organizational skills, with the ability to manage multiple priorities effectively.

Overview: Who are we looking for? The ideal candidate has an emphasis on data infrastructure to help operationalize and maintain machine learning models and pipelines. The candidate will love automating via Infrastructure as code (IaC), be comfortable with AWS cloud services, and can design and implement end-to-end data and analytic infrastructure solutions. As an offshore Senior DataOps Engineer , this candidate has the opportunity to innovate the way we do healthcare analytics and data. The candidate will be working closely with the Advanced Analytic and Data Engineering team to leverage the best technologies to establish a DataOps culture. Our goal is to enable fault tolerant, highly available, and accurate data ecosystem for advanced analytic projects. Qualifications: Minimum 3 years of professional experience working with analytics, databases, and data systems Have a strong knowledge of IaC automation principles Have expertise with Terraform and ideally a good knowledge of Ansible Have experience with scripting and programming languages shell scripting (Not Mandatory) and Python (Required) Have a good understanding of CI/CD and test automation Have experience building docker containers, using version control and git in collaborative environments Collaborative and pragmatic with great communication skills Enthusiast, keen to pick up new tools and technologies and work with emerging technology Preferred: Professional experience architecting/operating Data / DevOps solutions built on Azure What are my responsibilities? Automate and enhance data lake ecosystem and machine learning pipelines using Terraform, CloudFormation/or CDK Play a central role in a forming team to create easy ways of data access and ingest it into the data store in a reliable way Build CI/CD pipelines for advanced analytic applications and operationalize predicative models along the (cloud) Data Engineer Develop, deploy and operate dockerized data and model applications in Azure cloud-based environment. Work closely with Infrastructure team and Security team, monitor data services (e.g. Azure Synapse Analytics) and ensure data governance and quality.

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

Overview In this role, we are seeking an Associate Manager Offshore Program & Delivery Management to oversee program execution, governance, and service delivery across DataOps, BIOps, AIOps, MLOps, Data IntegrationOps, SRE, and Value Delivery programs. This role requires expertise in offshore execution, cost optimization, automation strategies, and cross-functional collaboration to enhance operational excellence. Manage and support DataOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in real-time monitoring, automated alerting, and self-healing mechanisms to improve system reliability and performance. Contribute to the development and enforcement of governance models and operational frameworks to streamline service delivery and execution roadmaps. Support the standardization and automation of pipeline workflows, report generation, and dashboard refreshes to enhance efficiency. Collaborate with global teams to support Data & Analytics transformation efforts and ensure sustainable, scalable, and cost-effective operations. Assist in proactive issue identification and self-healing automation, enhancing the sustainment capabilities of the PepsiCo Data Estate. Responsibilities Support DataOps and SRE operations, assisting in offshore delivery of DataOps, BIOps, Data IntegrationOps, and related initiatives. Assist in managing day-to-day DataOps activities, including incident resolution, SLA adherence, and stakeholder engagement. Assist in implementing governance frameworks, tracking KPIs, and ensuring adherence to operational SLAs. Contribute to process standardization and automation efforts, improving service efficiency and scalability. Promote a customer-centric approach, ensuring high service quality and proactive issue resolution. Collaborate with onshore teams and business stakeholders, ensuring alignment of offshore activities with business needs. Monitor and optimize resource utilization, leveraging automation and analytics to improve productivity. Support continuous improvement efforts, identifying operational risks and ensuring compliance with security and governance policies. Participate in Agile work intake and management processes, contributing to strategic execution within data platform teams. Provide operational support for cloud infrastructure and data services, ensuring high availability and performance. Document and enhance operational policies and crisis management functions, supporting rapid incident response. Promote a customer-centric approach, ensuring high service quality and proactive issue resolution. Assist in team development efforts, fostering a collaborative and agile work environment. Adapt to changing priorities, supporting teams in maintaining focus on key deliverables. Qualifications 6+ years of technology experience in a global organization, preferably in the CPG industry. 4+ years of experience in Data & Analytics, with a foundational understanding of data engineering, data management, and operations. 3+ years of cross-functional IT experience, working with diverse teams and stakeholders. 12 years of leadership or coordination experience, supporting team operations and service delivery. Strong communication and collaboration skills, with the ability to convey technical concepts to non-technical audiences. Customer-focused mindset, ensuring high-quality service and responsiveness to business needs. Experience in supporting technical operations for enterprise data platforms, preferably in a Microsoft Azure environment. Basic understanding of Site Reliability Engineering (SRE) practices, including incident response, monitoring, and automation. Ability to drive operational stability, supporting proactive issue resolution and performance optimization. Strong analytical and problem-solving skills, with a continuous improvement mindset. Experience working in large-scale, data-driven environments, ensuring smooth operations of business-critical solutions. Ability to support governance and compliance initiatives, ensuring adherence to data standards and best practices. Familiarity with data acquisition, cataloging, and data management tools. Strong organizational skills, with the ability to manage multiple priorities effectively.

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

Sales Director / Senior BDM - Data Engineering/Analytics - USA Exp: 10+ Years Industry: Digital, IT Services, Data Domain (End-Clients): Technology, E-Commerce /Retail, BFSI, Healthcare or Manufacturing. Functional Area: Digital Solutions: DevOps, Cloud, Data, DataOps, AI/ML, Analytics, Mobility, Application Development, Testing Solutions. Must Have: Travelled to US Sales Strategy and Planning Account Management Data Mining & Analytics Relationship Building Data-driven Decision Making Customer Needs Analysis Team Leadership Cloud Solution selling Responsibilities: Data centric solutions/use cases like Customer 360, Data Analytics, BI Reporting/Dashboards, Data Platform, Document AI along with large Data Migration projects sold to enterprises. Develop strategic account plans aligned with client goals and company objectives. Identify opportunities for upselling and cross-selling data and analytics products and services to maximize revenue from existing clients. Stay up-to-date with the company's data and analytics products and services. Provide expert consultation to clients on how to best leverage data and analytics to drive business outcomes and achieve their goals. Coordinate the delivery of data and analytics projects for clients, ensuring projects are completed on time, within scope, and within budget. Serve as a liaison between clients and internal teams to ensure clear communication and alignment throughout the project lifecycle. Developing comprehensive account strategies aligned with both client objectives and organizational goals to maximize revenue opportunities and increase client satisfaction. Develop and maintain strong relationships with existing clients, ensuring customer onboarding, deep account mining, ensuring customer centricity and success while enhancing their satisfaction through delivering on the customer needs. Collaborated with cross-functional teams, including data scientists and analysts, to develop innovative solutions and address client needs effectively. Working closely with CXOs to understand their long-term organizational vision and their quarterly and annual business objectives and identifying value drivers

What You Will Do Be part of the data team to design and build a BI and analytics solution Implement batch and near real time data movement design patterns and define best practices in data engineering. Design and develop optimal cloud data solutions (lakes, warehouses, marts, analytics) by collaborating with diverse IT teams including business analysts, project managers, architects, and developers. Work closely with a team of data engineers and data analysts to procure, blend and analyze data for quality and distribution; ensuring key elements are harmonized and modeled for effective analytics, while operating in a fluid, rapidly changing data environment Build data pipelines from a wide variety of sources Demonstrate strong conceptual, analytical, and problem-solving skills and ability to articulate ideas and technical solutions effectively to external IT partners as well as internal data team members Work with cross-functional teams, on-shore/off-shore, development/QA teams/Vendors in a matrixed environment for data delivery Backtracking, troubleshooting failures and provide fix as needed Update and maintain key data cloud solution deliverables and diagrams Ensure conformance and compliance using Georgia-Pacific data architecture guidelines and enterprise data strategic vision May participate in a 24x7 on call rotation once the development is complete Who You Are (Basic Qualifications) Bachelors degree in Computer Science, Engineering, or related IT area with at least 5+ years of experience in software development. Primary Skill set : Data Engineering, Python (Especially strong in Object oriented Programming concepts), AWS (Glue, Lambda, EventBridge, Step functions and serverless architecture),Columnar DB(Redshift or Snowflake), Matillion (or any ETL tool) Secondary Skill set: Working with APIs, Spark, GIT/CICD, SQL,SPARK,STEP FUNCTIONS At least 2+ of hands-on experience in designing, implementing, managing large-scale and ETL solutions. At least 3 years of hands-on experience in business intelligence, data modelling, data engineering, ETL, multi-dimensional data warehouses, cubes, with expertise in relevant languages and frameworks like SQL, Python etc. Hands on experience with designing and fine-tuning queries in Redshift Strong knowledge of Data Engineering, Data Warehousing, OLAP and database concepts Understanding of common DevSecOps/DataOps and CICD processes, methodologies, and technologies like GitLab, Terraform etc Be able to analyze large complex data sets to resolve data quality issues What Will Put You Ahead AWS certifications like Solution Architect (SAA/SAP) or Data Analytics Specialty (DAS) Hands-on experience with AWS data technologies and at least one full life cycle project experience in building a data solution in AWS. Exposure to visualization tools, such as Tableau or PowerBI. Experience with OLAP technologies and Data Virtualization (using Denodo) Knowledge in Accounting and Finance

Accountabilities Leadership & Strategy - Guide the development, execution, and implementation of roadmaps for data foundation platforms. - Assess current state of platforms, define future state needs, identify gaps, recommend new technology solutions, and support product roadmap development. - Lead the design, implementation, and optimization of robust data catalogue, data quality, and MDM platforms. - Manage and optimize the technology stack ensuring alignment with security, architecture, compliance, and performance standards. - Provide technical knowledge of engineering principles to develop reliable and high-quality Data & Analytics platforms. - Ensure comprehensive documentation including standard operating procedures, user guides, and best practices. - Ensure automation is central to our processes and technologies for effective delivery timeframes. - Work on funding proposals describing value and ROI for internal investment. - Provide technical support throughout the project lifecycle. Innovation - Drive innovation by staying informed about technology trends and thought leadership. - Collaborate with business stakeholders on proof of concepts and pilots. - Identify opportunities for innovation to enhance the data foundation platform's capabilities and efficiency. Stakeholder Collaboration - Act as a liaison between IT and Business Units fostering strong communication and understanding. - Oversee partnerships with third parties, academic or outsourced partners to shape project outcomes. - Partner with enterprise platform teams and architecture to ensure alignment and influence stakeholders. Quality Assurance - Implement robust quality assurance processes to ensure data accuracy, reliability, and security. - Establish and monitor key performance indicators to measure platform effectiveness. Project Technical Management - Collaborate with technical and business resources from internal and external sources to specify and deliver appropriate technical solutions. - Evaluate the technical competence of external design and engineering staff to meet project needs. - Design and implement cloud solutions following best practices in security and code patterns. Essential Skills/Experience - Extensive experience in implementation & management of data, analytics & AI platforms. - Extensive experience in CloudOps, DevOps, DataOps, and infrastructure setup and maintenance. - Strong knowledge of BI landscape, data warehouse solutions including cloud data warehouses like Snowflake. - Strong experience with cloud platforms and services such as AWS, Azure, or Google Cloud. - Strong communication and interpersonal skills with experience in Agile development methodologies. - Influencer and negotiator who can align executives and senior stakeholders to a shared vision. - Relevant technical degree or equivalent. - AWS experience with EC2, S3, IAM, r53, DynamoDB, Lambda, RDS, ECR, Networking. - GitHub Actions Development Create and maintain GitHub Actions developed in-house. - Python. - IaC with Terraform. - GitHub reusable workflows. - Linux. - Proven track record in engineering technologies connecting technology with business value. Pharma sector experience is a plus. - Strong communication skills with teams, peers, and third-party suppliers. - Ability to develop innovation opportunities and lead changes. - Experience managing/delivering engineering technology aspects of projects/technology developments. - Ability to work in diverse multinational teams influencing positive outcomes. - Experience in Docker, Jira, NodeJS, EKS, AWS Amplify, Artifactory, SonarQube. - Knowledge of Lean design processes. - Experience in Data Foundation technologies like Snowflake, dbt, Data Catalogue (e.g., Collibra), Data Quality (e.g., Monte Carlo), integration tools like Fivetran, Snaplogic, Qlikreplicate.

About the Team: Join the Usage Service and OPUS teams to innovate with impact, building scalable, modern solutions that power millions worldwide. As a Data Engineer , you will excel in a data-driven environment, shaping the future with advanced analytics, real-time processing, and AI-driven insights. Partner with top talent, use the latest technologies, and accelerate your career in a culture that values learning, creativity, and new ideas. Candidate will report to Sr. Manager, Software Engineering. Responsibilities: Design, develop, and maintain scalable data pipelines to collect, process, and analyze security-related data from various sources. Apply best practices for data integrity, reliability, and scalability in security data pipelines. Collaborate with partner security teams, leadership, and engineering to implement security solutions that effectively reduce risks in Avalara's cloud environments. Develop automated, cloud-native solutions across multiple hyperscale cloud providers ( AWS, GCP, Azure, OCI ). Ensure compliance with security standards, regulations, and industry best practices , working closely with compliance teams to implement necessary controls and reporting mechanisms. Conduct code and design reviews for internal and customer-facing software solutions. Maintain comprehensive documentation of pipeline architecture, configurations, and processes. Generate regular reports on pipeline performance, data quality, and security incidents. Qualifications: Bachelor's degree in Computer Science, Information Security, or relevant experience. 5+ years of professional experience in data engineering, design, and development roles. Expert-level proficiency in SQL. Strong experience in architecting complex data marts using dbt and Airflow. Proven ability to design and implement data solutions that ensure high data quality and anomaly detection. Hands-on experience with Snowflake for production analytics. Strong understanding of DevOps/DataOps practices , including Git and Terraform. Experience with containerization and orchestration technologies (Docker, Kubernetes, CI/CD). Extensive knowledge of AWS data engineering ecosystem and data security best practices. Experience designing secure cloud architectures across AWS, GCP, Azure, or OCI. Deep understanding of Identity and Access Management (IAM), RBAC Automation, and data security frameworks. Good to Have: Familiarity with global data security requirements such as GDPR, SOC 2, US privacy regulations, and PII protection. Experience in analyzing website traffic and network data. Ability to drive program maturity by evangelizing modern secure architectures and services. AWS or other professional data security certifications. Experience in data modeling. Proficiency in data visualization tools (Power BI, Tableau, Hex, R-Shiny) and data storytelling.

Sales Director / Senior BDM - Data Engineering/Analytics - USA Exp: 10+ Years Industry: Digital, IT Services, Data Domain (End-Clients): Technology, E-Commerce /Retail, BFSI, Healthcare or Manufacturing. Functional Area: Digital Solutions: DevOps, Cloud, Data, DataOps, AI/ML, Analytics, Mobility, Application Development, Testing Solutions. Must Have: Travelled to US Sales Strategy and Planning Account Management Data Mining & Analytics Relationship Building Data-driven Decision Making Customer Needs Analysis Team Leadership Cloud Solution selling Responsibilities: Data centric solutions/use cases like Customer 360, Data Analytics, BI Reporting/Dashboards, Data Platform, Document AI along with large Data Migration projects sold to enterprises. Develop strategic account plans aligned with client goals and company objectives. Identify opportunities for upselling and cross-selling data and analytics products and services to maximize revenue from existing clients. Stay up-to-date with the company's data and analytics products and services. Provide expert consultation to clients on how to best leverage data and analytics to drive business outcomes and achieve their goals. Coordinate the delivery of data and analytics projects for clients, ensuring projects are completed on time, within scope, and within budget. Serve as a liaison between clients and internal teams to ensure clear communication and alignment throughout the project lifecycle. Developing comprehensive account strategies aligned with both client objectives and organizational goals to maximize revenue opportunities and increase client satisfaction. Develop and maintain strong relationships with existing clients, ensuring customer onboarding, deep account mining, ensuring customer centricity and success while enhancing their satisfaction through delivering on the customer needs. Collaborated with cross-functional teams, including data scientists and analysts, to develop innovative solutions and address client needs effectively. Working closely with CXOs to understand their long-term organizational vision and their quarterly and annual business objectives and identifying value drivers

Senior Lead Data Engineer, Data Products To join the team developing modern cloud data architecture based data products for a KONE. Our Data Foundation based data products are key enabler in our digital transformation creating ability to develop new scalable analytics, AI and digital use cases by leveraging data across the whole KONE organization. Data products play a vital role in business value generation and driving optimized data architecture is crucial to ensure reusability of the data assets on the cloud based Data Foundation. This is a hands-on, roll up your sleeves position that requires a passion for data, engineering and DevOps. In this role you will be doing hands on data engineering tasks from new development to resolving technical issues, maintaining and optimizing workloads. As a Lead Data Engineer, in addition to doing hands-on data engineering work in the data product team, we expect you to demonstrate in-depth domain-specific knowledge, critically evaluating new data-engineering methods and applying them, being responsible for deliverables to be implemented with industry best practices and aligned with the design and architecture principles, being responsible for ensuring that Data Engineers follow agreed development process and fagreed CI/CD principles, being responsible for planning and conducting quality actions such as code reviews, triages in the team. We offer a chance to work hands-on with state-of-the-art cloud technology in a global, multi-cultural work environment being located in our office in Chennai. We approach multi-cloud data engineering experience, as your professional background. We are searching for an enthusiastic person to join the team who is excited about developing own professional skills even further, learning new things and contributing to team success. An ideal candidate has a strong background in data engineering, SW engineering and data integration with modern multi cloud stack, but above all will to commit to a DevOps mindset and reach goals together. We are expecting you to take self-driven, proactive approach to your work, find & implement solutions, continuously looks for improvement opportunities in own area, solve problems, make decisions and share the learnings to colleagues. We want to work with people who enjoy teamwork, are not afraid to step out of their comfort zone, want to help others and share information. To succeed in this role, following professional experience will play a key role: Master's degree in either software engineering, data engineering, computer science, or a related field Hands-on data engineering professional experience (> 5 years) Previous hands-on professional experience in developing and maintaining data pipelines on AWS, Azure and/or Databricks. Working proficiency the the tech stack: AWS, Gitlab, Databricks for ETL, Airflow, SCL, Python, Scala, and DBT for developing ETL, jobs, AWS CDK and Terraform for IaC. Hands-on development experience on lake house architecture based on Databricks and Delta Lake, multi-hop medallion architecture to divide the data lake into bronze, silver and gold layers based on the quality and reusability of the data stored there, data product publishing in Unity catalog. Strong coding proficiency with multiple languages SQL and Python, additional language are bonus. Ability to write compelling code, technical documentation and visualize your technical design. Fluency in industry-standard DevOps practices and tools. Practical experience in working with enterprise data landscapes and data structures: Structural data, non-structural data, metadata, master data, transactional data, batch/NRT. Experience on enterprise data sources: Experience in woring with e.g. SAP ERP, Salesforce, Droduct data management (PDM), and many others. Way of working professional experience Passion to utilize agile development methodologies and tools (Jira, Confluence, draw.io). Inbuilt cybersecurity awareness. Understanding on data privacy and compliancy regulations. Ability to work in global multi-cultural team and effectively collaborate within the team. Ability to self-organize, take accountability and be proactive, seek feedback, be courageous and resilient, and have excellent problem-solving skills. Ability to conduct technical evaluations and feasibility studies. Ability to mentor and share knowledge as an expert leader. Experience of DataOps and ITSM processes. Proficiency in spoken and written English language, and strong facilitation and communication skills.