data and analytics engineer

<div>Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics &amp; AI
Management Level
Associate
Job Description &amp; Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
Responsibilities:
Main responsibilities will include: o Develop and implement conversational AI solutions that meet client needs. o Build and train natural language processing models to improve accuracy and understanding. o Design and develop conversational interfaces that are intuitive and easy for users to navigate. o Work with cross-functional teams to integrate conversational AI solutions into existing systems. o Troubleshoot and resolve technical issues related to conversational AI solutions. o Stay up to date with the latest developments in conversational AI and identify new opportunities for growth and innovation.
Mandatory skill sets:
AI Engineer, NLP
Preferred skill sets:
AI Engineer, NLP
Years of experience required:
2-4 Years
Education Qualification : BE, B.Tech, MCA, M.Tech
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration), Bachelor of Engineering
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Artificial Intelligence (AI)
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date</div>

IN_Associate_AI/ML Engineer_Data & Analytics_Advisory_PAN India

<div>Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics &amp; AI
Management Level
Manager
Job Description &amp; Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
Responsibilities:
Main responsibilities will include: o Develop and implement conversational AI solutions that meet client needs. o Build and train natural language processing models to improve accuracy and understanding. o Design and develop conversational interfaces that are intuitive and easy for users to navigate. o Work with cross-functional teams to integrate conversational AI solutions into existing systems. o Troubleshoot and resolve technical issues related to conversational AI solutions. o Stay up to date with the latest developments in conversational AI and identify new opportunities for growth and innovation.
Mandatory skill sets:
AI Engineer, NLP
Preferred skill sets:
AI Engineer, NLP
Years of experience required:
8-12 Years
Education Qualification : BE, B.Tech, MCA, M.Tech
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering, MBA (Master of Business Administration)
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Artificial Intelligence (AI), Machine Learning
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility {+ 30 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date</div>

IN_Manager_AI/ML Engineer_Data & Analytics_Advisory_PAN India

<div>Line of Service
Advisory
Industry/Sector
FS X-Sector
Specialism
Operations
Management Level
Associate
Job Description &amp; Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs.
Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
About the Role:
We are seeking a passionate and skilled AI Engineer with 2&ndash;4 years of experience, including a minimum of 2 years in Generative AI (GenAI), to join our AI/ML team. The AI Engineer will play a key role in building and deploying advanced AI solutions leveraging Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), multi-agent frameworks, and state-of-the-art tooling, expertise in python and data engineering tools and platforms
-
Responsibilities:
<ul><li>Design, develop, and deploy GenAI solutions with a focus on production readiness and data scalability.
</li></ul><ul><li>Build and scale Retrieval-Augmented Generation (RAG) systems for enterprise use cases.
</li></ul><ul><li>Integrate with graph-based memory and tool-using agents to enhance LLM capabilities.
</li></ul><ul><li>Implement multi-agent orchestration and reasoning systems (e.g., AutoGen, LangGraph, custom agents).
</li></ul><ul><li>Use LLM frameworks and libraries (e.g., LangChain, AutoGen, LangGraph).
</li></ul><ul><li>Write clean, efficient, and scalable code in Python, with a focus on modularity and performance.
</li></ul><ul><li>Develop and optimize AI/ML pipelines using Databricks, Spark, Delta Lake, and other modern data engineering tools.
</li></ul><ul><li>Collaborate with data scientists and ML engineers to ensure seamless integration of GenAI models with data infrastructure.
</li></ul><ul><li>Ensure system scalability, reliability, and maintainability through strong software and data engineering practices.
</li></ul>-
Required Qualifications:
<ul><li>2&ndash;4 years of total experience in AI/ML, software engineering, or data engineering.
</li></ul><ul><li>Minimum 2 years of hands-on experience in building and deploying GenAI systems.
</li></ul><ul><li>Strong proficiency in Python for both AI development and data engineering tasks.
</li></ul><ul><li>Experience with Databricks, Spark, and cloud-native data platforms (e.g., Delta Lake, etc.).
</li></ul><ul><li>Familiarity with LLMs such as GPT-4, Claude 2, Gemini, etc.
</li></ul><ul><li>Hands-on experience with RAG systems and multi-agent frameworks like LangGraph, LangChain, or AutoGen.
</li></ul><ul><li>Solid understanding of software engineering best practices, including version control, testing, and CI/CD.
</li></ul><ul><li>Experience in working with graph-based memory and LLM tool use patterns.
</li></ul>-
Preferred Qualifications:
<ul><li>Experience with tool-using agents, memory-augmented architectures, or cognitive architectures.
</li></ul><ul><li>Prior contributions to open-source GenAI or agent frameworks.
</li></ul><ul><li>Familiarity with Azure Databricks, AWS Bedrock, or other cloud-based LLM/data services.
</li></ul><ul><li>Background in optimization, evaluation, and prompt engineering for LLM systems.
</li></ul><ul><li>Experience in deploying AI systems in production environments and maintaining performance at scale.
</li></ul><ul><li>Knowledge of data governance, lineage, and monitoring in large-scale data systems.
</li></ul>-
Why Join Us?
<ul><li>Work with cutting-edge GenAI and agentic AI tools.
</li></ul><ul><li>Build scalable AI systems powered by robust data engineering foundations.
</li></ul><ul><li>Opportunity to innovate and build next-gen intelligent systems using Databricks and modern cloud platforms.
</li></ul><ul><li>Collaborative, growth-oriented environment.
</li></ul>Mandatory skill sets:
Generative AI (GenAI), python and data engineering tools(Databricks, Spark, Delta Lake )
Preferred skill sets:
Generative AI (GenAI), python and data engineering tools(Databricks, Spark, Delta Lake )
Years of experience required:
2 to 7yrs
Education qualification:
Bachelor&rsquo;s degree in Engineering (B.E. Hons) or related field. Masters degree
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor Degree
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Generative AI
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery, Configuration Management (CM), Continuous Process Improvement, Data Analytics {+ 31 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date</div>

IN_Associate_ AI Engineer_GCC_Advisory_Bangalore

<div>Line of Service
Advisory
Industry/Sector
Technology
Specialism
Advisory - Other
Management Level
Associate
Job Description &amp; Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
<ul><li>Apply a learning mindset and take ownership for your own development.
</li><li>Appreciate diverse perspectives, needs, and feelings of others.
</li><li>Adopt habits to sustain high performance and develop your potential.
</li><li>Actively listen, ask questions to check understanding, and clearly express ideas.
</li><li>Seek, reflect, act on, and give feedback.
</li><li>Gather information from a range of sources to analyse facts and discern patterns.
</li><li>Commit to understanding how the business works and building commercial awareness.
</li><li>Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
</li></ul>Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Strategy {+ 22 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date</div>

ETIC, Data Engineer, Associate

<div>Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics &amp; AI
Management Level
Senior Associate
Job Description &amp; Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs.
*Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
&quot; At Tesco Technology, we build systems that power millions of customer journeys every day &mdash; online and in-store. We&rsquo;re looking for an experienced Senior Java Developer with 6&ndash;10 years of solid experience designing and developing high-performance Microservices using Spring Boot and Spring WebFlux. If you&rsquo;re passionate about building scalable solutions, love solving complex problems, and thrive in a collaborative, agile environment &mdash; come build what&rsquo;s next with us!
Responsibilities:
<ul><li>Design, develop, and deploy robust, scalable Microservices using Spring Boot and Spring WebFlux, while adhering to modern security and coding best practices.
</li></ul><ul><li>Apply strong knowledge of design patterns, data structures, algorithms, and SOLID principles to deliver high-quality, maintainable code.
</li></ul><ul><li>Work closely with DevOps, QA, and product teams to ensure that solutions meet business requirements and are reliable in production.
</li></ul><ul><li>Participate in product demos, design discussions, and release reviews, bringing your technical expertise to shape our products.
</li></ul><ul><li>Continuously improve development processes and engineering practices, sharing knowledge and mentoring others.
</li></ul><ul><li>Stay up to date with the latest tools, technologies, and frameworks in the Java and cloud-native ecosystem.
</li></ul><ul><li>Deploy, monitor, and maintain services on Kubernetes (AKS) and leverage containerization best practices with Docker.
</li></ul><ul><li>Design and work with both NoSQL (Couchbase, MongoDB, Cassandra) and SQL (PostgreSQL) databases to build efficient, performant services.
</li></ul><ul><li>Leverage cloud-native capabilities in AWS or Azure to deliver resilient, scalable services.
</li></ul><ul><li>Follow Agile best practices, using tools like Jenkins, GitHub Actions, ArgoCD, Sonar, Snyk, Postman, and more to ensure quality and security.
</li></ul>What We&rsquo;re Looking For
Must-Have:
<ul><li>Strong knowledge of design patterns, data structures, algorithms, and SOLID principles.
</li></ul><ul><li>Excellent hands-on experience with Java 8, Java 17 (and above).
</li></ul><ul><li>Deep practical experience with Microservices architecture, Spring Boot, and Spring WebFlux.
</li></ul><ul><li>Solid working experience with Kubernetes, Docker, and Azure Kubernetes Service (AKS).
</li></ul><ul><li>Strong proficiency with NoSQL databases (Couchbase, MongoDB, Cassandra) and SQL databases (PostgreSQL).
</li></ul><ul><li>Proven experience building and deploying cloud-native solutions on AWS and/or Azure.
</li></ul><ul><li>Excellent analytical and problem-solving skills.
</li></ul><ul><li>Effective communication skills and the ability to collaborate with cross-functional teams.
</li></ul>Other Skills:
<ul><li>CI/CD tools: Jenkins, GitHub Actions, ArgoCD
</li></ul><ul><li>Security and quality tools: Snyk, Sonar
</li></ul><ul><li>API Testing: Postman
</li></ul><ul><li>Familiarity with Agile methodologies and best practices.
</li></ul>Nice-to-Have:
<ul><li>Experience with Splunk, ELK Stack for log monitoring.
</li></ul><ul><li>Experience with NewRelic, AppDynamics, or DynaTrace for application performance
</li></ul>Mandatory skill sets:
Java, Microservice, Nosql, Sql, Springboot
Preferred Skill Sets:
Spring webflux, Cassandra, Mongodb, Postgresql
Years of Experience required:6-10 Years
Education qualification: B.E, B.Tech, MCA, M.Tech
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering, Bachelor of Technology
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Cassandra, Java, Microsoft Azure, Mongodb Sharding, Structured Query Language (SQL)
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery, Configuration Management (CM), Continuous Process Improvement {+ 36 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date</div>

IN_Senior Associate_ Java _Data and Analytics_Advisory_Bangalore

Stellar Solutions

<div>Job Title: Senior Analytics Support Engineer
Location: : India (Hybrid in Bangalore (2 days onsite)
Experience: 6+ Years
Analytics Support Engineer
We are seeking a highly skilled and detail-driven Analytics Support Engineer to join our dynamic data team. This role is ideal for a professional with deep expertise in digital analytics platforms-particularly Google Analytics 4 (GA4), Google Tag Manager (GTM), Looker, and Tableau-and strong technical proficiency in Python, SQL, and AWS-based infrastructure.
As an Analytics Support Engineer, you will be instrumental in designing and maintaining robust analytics implementations, scalable data pipelines, and insightful reporting frameworks. Your work will directly influence strategic decision-making by ensuring the delivery of accurate, timely, and actionable data across the organization.
Core Responsibilities
<ul><li>Design, implement, and maintain web tracking solutions using GA4 and GTM.</li>
<li>Develop and optimize interactive dashboards and data visualizations in Looker and Tableau.</li>
<li>Write performant SQL queries for data extraction, transformation, and validation.</li>
<li>Collaborate with engineering, product, and marketing teams to resolve data discrepancies and uphold data integrity.</li>
<li>Build and maintain Python scripts for automation, analysis, and reporting workflows.</li>
<li>Support and enhance ETL processes and data pipelines within AWS environments (e.g., S3, Lambda, Redshift).</li>
<li>Monitor tag deployments, conversion tracking, and analytics configurations to ensure seamless data flow.</li>
<li>Create documentation, deliver training, and provide ongoing support for analytics tools and reporting platforms.</li>
</ul>Required Qualifications
<ul><li>Bachelor//'s degree in Computer Science, Data Analytics, or a related field.</li>
<li>Minimum 5 years of experience in analytics engineering, data operations, or technical support roles.</li>
<li>Hands-on experience with GA4 and GTM in production environments.</li>
<li>Advanced proficiency in Looker and/or Tableau for building scalable dashboards.</li>
<li>Strong command of Python and SQL for data manipulation and automation.</li>
<li>Proven experience working with AWS services such as S3, EC2, Lambda, and Redshift.</li>
<li>Solid understanding of data governance, tracking architecture, and web analytics best practices.</li>
<li>Exceptional analytical and problem-solving skills.</li>
<li>Strong communication and stakeholder engagement capabilities.</li>
</ul>Preferred Skills
<ul><li>Familiarity with cloud data warehouses such as BigQuery or Redshift.</li>
<li>Experience integrating marketing and product analytics platforms.</li>
<li>Working knowledge of APIs and data ingestion frameworks.</li></ul></div>

Senior Analytics Support Engineer

CrossAsyst

<div><div>AWS Data Engineer (ETL Specialist)</div><div>
</div><div>
Experience: 3-5 years (minimum 2+ years hands-on experience with AWS-native data engineering tools)</div><div></div><div> 
Location: Gigaplex, Airoli West</div><div>
</div><div>
Role Overview: The AWS Data Engineer will design, develop, and manage scalable data pipelines and analytics infrastructure in a cloud-native environment. This engineer will be responsible for architecting complex ETL processes using AWS-managed services, optimizing data performance, and ensuring data quality, security, and observability across multiple systems. The ideal candidate has deep AWS knowledge, strong ETL design experience, and a solid grasp of modern data engineering practices.</div><div>
</div><div>
Key Responsibilities:</div><ul><li>Design and implement end-to-end ETL workflows leveraging AWS services such as Glue, Lambda, Step Functions, EMR, Redshift, Kinesis, and S3.</li><li>Develop and maintain data ingestion pipelines from structured, semi-structured, and streaming data sources.</li><li>Design and maintain data lake and data warehouse solutions (S3, Redshift, Lake Formation).</li><li>Build transformation logic with PySpark, SQL, or Python, ensuring performance and integrity.</li><li>Orchestrate workflows using AWS Glue Workflows, Apache Airflow, or Step Functions.</li><li>Implement data quality validations, monitoring frameworks, and automated alerts for pipeline health.</li><li>Collaborate with data scientists, analysts, and application engineering teams to ensure data accessibility and alignment with analytics use cases.</li><li>Ensure compliance with data governance and security frameworks (IAM, encryption, GDPR/HIPAA as applicable).</li><li>Participate in data architecture reviews, contributing to design best practices for reliability and scalability.</li><li>Document all data flows, transformations, and pipeline specifications for reproducibility and audits.</li></ul><div>
</div><div>
Required Technical Skills:</div><ul><li>Strong development background in Python and SQL.</li><li>Expertise with AWS data services: Glue, Redshift, EMR, S3, RDS, Lambda, Kinesis, CloudWatch, and CloudFormation.</li><li>Deep understanding of ETL/ELT design patterns, including incremental loads and change data capture (CDC).</li><li>Familiarity with data modelling (Star/Snowflake schemas) and data lakehouse architectures.</li><li>Experience working with large-scale or real-time datasets.</li><li>Knowledge of data quality frameworks and data observability tools.</li><li>Comfort with DevOps and CI/CD workflows using Git, CodePipeline, or Terraform.</li><li>Advanced understanding of data security practices in AWS (IAM roles, encryption, network isolation).</li></ul><div>
</div><div>
Desired Skills:</div><ul><li>Hands-on experience with Snowflake, Databricks, or Athena.</li><li>Familiarity with BI/analytics tools (QuickSight, Power BI, Tableau).</li><li>AWS certifications such as AWS Certified Data Engineer &ndash; Associate or Data Analytics Specialty.</li><li>Strong analytical and communication skills to translate business data needs into engineering solutions.</li></ul><div>
</div><div>
Educational Requirements:</div><ul><li>Master's or Bachelor&rsquo;s degree in Computer Science, Data Engineering, or related technical field.</li><li>AWS Data Engineering or Data Analytics certification preferred</li></ul></div>

AWS Data Engineer

Search 10000+ Data and analytics engineer jobs near you this October. New roles added regularly across leading industries. Apply today.