6525 Data Engineering Jobs - Page 42

About The Role Job Title :Industry & Function AI Data Engineer + S&C GN Management Level :09 - Consultant Location :Primary - Bengaluru, Secondary - Gurugram Must-Have Skills :Data Engineering expertise, Cloud platforms:AWS, Azure, GCP, Proficiency in Python, SQL, PySpark and ETL frameworks Good-to-Have Skills :LLM Architecture, Containerization tools:Docker, Kubernetes, Real-time data processing tools:Kafka, Flink, Certifications like AWS Certified Data Analytics Specialty, Google Professional Data Engineer,Snowflake,DBT,etc. Job Summary : As a Data Engineer, you will play a critical role in designing, implementing, and optimizing data infrastructure to power analytics, machine learning, an...

About The Role Skill required: Delivery - Financial Planning and Analysis (FP&A) Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clie...

About The Role Job Title - S&C Global Network - AI - CMT DE- Consultant Management Level:9- Consultant Location:Open Must-have skills: Data Engineering Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : We are looking for a passionate and results-driven Data Engineer to join our growing data team. You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support data-driven decision-making across the organization. Roles & Responsibilities: Design, build, and maintain robust, scalable, and efficient data pipelines (ETL/ELT). Work with structured and uns...

About The Role Job Title - S&C Global Network - AI - Healthcare Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU? An opportunity ...

About The Role JR: R00229254 Experience: 11-15 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. --------------------------------------------------------------------- Job Title - S&C Global Network - AI - Healthcare Analytics - Senior Manager Management Level: 6-Senior Manager Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, m...

About The Role Job Title - S&C Global Network - AI - Healthcare Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU? An opportunity ...

Notice Period: Immediate Shift: Regular - Day Shift Job Type: Contract or Full-Time Job Description: We are seeking an experienced and proactive Lead Data Engineer to design, develop, and manage scalable data solutions on AWS Cloud. The ideal candidate will play a key role in shaping data strategies, developing cloud-native solutions, and integrating data workflows, with a focus on the Salesforce domain (desirable). Key Responsibilities: Design and implement robust data pipelines on AWS Cloud , ensuring efficient ETL processes. Work extensively with Data Engineering tools and services such as S3, Redshift, Glue, Lambda, and Data Pipeline. Develop and maintain data models, storage solutions, ...

Design and deliver enterprise-scale application solutions. Lead architecture, coding, code reviews, testing, and deployment activities. Collaborate with cross-functional teams including Product, QA, and DevOps. Drive adoption of best practices in performance, security, and observability. Mentor junior engineers and support technical leadership initiatives. Must-Have Skills Python, SQL, Spark, Kafka, Airflow, Snowflake Good-to-Have Skills BigQuery, ETL, Data Modeling Notice Period Immediate to 30 days (preferred).

Design and deliver enterprise-scale application solutions. Lead architecture, coding, code reviews, testing, and deployment activities. Collaborate with cross-functional teams including Product, QA, and DevOps. Drive adoption of best practices in performance, security, and observability. Mentor junior engineers and support technical leadership initiatives. Must-Have Skills Python, SQL, Spark, Kafka, Airflow, Snowflake Good-to-Have Skills BigQuery, ETL, Data Modeling Notice Period Immediate to 30 days (preferred).

Location: Pune, Onsite(WFO) Department: Engineering / Data & AI Reports To: Associate Director of Engineering Job Summary We are seeking an Associate Machine Learning Engineer of exposure and experience in developing AI solutions, including Generative AI, classical ML models, and data engineering pipelines. You will play a hands-on role in building and deploying scalable ML and GenAI applications. Key Responsibilities - Generative AI Development - Design and implement applications using large language models (LLMs). - Optimize prompts using techniques such as Chain of Thought, Few-Shot Learning, and RAG. - Build scalable APIs and pipelines for GenAI-powered features. Machine Learning Enginee...

Cushman & Wakefield is seeking a highly skilled Manager Data Engineering & Analytics to lead the design, implementation, and governance of scalable, secure, and high-performing data solutions across the enterprise. Reporting to the Director of Data Engineering & Analytics, this hands-on leadership role focuses on modernizing the data platform, guiding the adoption of emerging technologies, and ensuring alignment with organizational goals and compliance standards. As part of Cushman & Wakefields mission to deliver exceptional value through real estate services, this role plays a key part in enabling enterprise-wide data strategy, analytics, and AI/ML capabilitiesunlocking insights that drive ...

**Job Title:** Data Architect - Azure Data Engineering **Company:** Happiest Minds **Location:** Bangalore **Job Type:** Full-Time **Minimum Years of Experience:** 10 **Maximum Years of Experience:** 15 --- **About Happiest Minds:** At Happiest Minds, we are committed to providing innovative digital transformation solutions that empower businesses and enhance user experiences. We value creativity, collaboration, and a commitment to quality, and we are seeking like-minded individuals who are passionate about leveraging technology to drive positive change. --- **Job Description:** We are looking for an experienced **Data Architect** with a deep understanding of data management and analytics to...

Job Overview Foster effective collaboration with diverse teams across various functions and regions. Collect and analyze large datasets to identify patterns, trends, and insights that will inform business strategies and decision-making processes. Develop and maintain reports, dashboards, and other tools to monitor and track supply chain performance. Assist in the development and implementation of supply chain strategies that align with business objectives. Identify and suggest solutions to potential supply chain risks and challenges. Build data models and perform data mining to discover new opportunities and areas of improvement. Conduct data quality checks to ensure accuracy, completeness, ...

Job Overview Foster effective collaboration with diverse teams across various functions and regions. Collect and analyze large datasets to identify patterns, trends, and insights that will inform business strategies and decision-making processes. Develop and maintain reports, dashboards, and other tools to monitor and track supply chain performance. Assist in the development and implementation of supply chain strategies that align with business objectives. Identify and suggest solutions to potential supply chain risks and challenges. Build data models and perform data mining to discover new opportunities and areas of improvement. Conduct data quality checks to ensure accuracy, completeness, ...

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skills.

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skills.

Azure Data Factory: - Develop Azure Data Factory Objects - ADF pipeline, configuration, parameters, variables, Integration services runtime - Hands-on knowledge of ADF activities(such as Copy, SP, lkp etc) and DataFlows - ADF data Ingestion and Integration with other services Azure Databricks: - Experience in Big Data components such as Kafka, Spark SQL, Dataframes, HIVE DB etc implemented using Azure Data Bricks would be preferred. - Azure Databricks integration with other services - Read and write data in Azure Databricks - Best practices in Azure Databricks Synapse Analytics: - Import data into Azure Synapse Analytics with and without using PolyBase - Implement a Data Warehouse with Azure...

Azure Data Factory: - Develop Azure Data Factory Objects - ADF pipeline, configuration, parameters, variables, Integration services runtime - Hands-on knowledge of ADF activities(such as Copy, SP, lkp etc) and DataFlows - ADF data Ingestion and Integration with other services Azure Databricks: - Experience in Big Data components such as Kafka, Spark SQL, Dataframes, HIVE DB etc implemented using Azure Data Bricks would be preferred. - Azure Databricks integration with other services - Read and write data in Azure Databricks - Best practices in Azure Databricks Synapse Analytics: - Import data into Azure Synapse Analytics with and without using PolyBase - Implement a Data Warehouse with Azure...

Azure Data Factory: - Develop Azure Data Factory Objects - ADF pipeline, configuration, parameters, variables, Integration services runtime - Hands-on knowledge of ADF activities(such as Copy, SP, lkp etc) and DataFlows - ADF data Ingestion and Integration with other services Azure Databricks: - Experience in Big Data components such as Kafka, Spark SQL, Dataframes, HIVE DB etc implemented using Azure Data Bricks would be preferred. - Azure Databricks integration with other services - Read and write data in Azure Databricks - Best practices in Azure Databricks Synapse Analytics: - Import data into Azure Synapse Analytics with and without using PolyBase - Implement a Data Warehouse with Azure...

Job Posting TitleSR. DATA ENGINEER Band/Level5-2-C--C Education ExperienceBachelors Degree (High School +4 years) Employment Experience5-7 years At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Responsible for designing and establishing the solution architecture for analytical platforms and/or data-enabled solutions.Has broad understanding of the entire data and analytics eco-system of tools and technologies, with hands-on experience across all three core data domains of data science, data engineering, and data visualization. Responsible for fleshing out the details of the ...

About the Role: Grade Level (for internal use): 10 The RoleSenior Software Developer The Team Do you love to collaborate & provide solutionsThis team comes together across eight different locations every single day to craft enterprise grade applications that serve a large customer base with growing demand and usage. You will use a wide range of technologies and cultivate a collaborative environment with other internal teams. The ImpactWe focus primarily developing, enhancing and delivering required pieces of information & functionality to internal & external clients in all client-facing applications. You will have a highly visible role where even small changes have very wide impact. Whats in...

About the Role: Grade Level (for internal use): 09 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will build and maintain enterprisescale data extraction, automation, and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will learn to design resilient, production-ready systems in an AWS-based ecosystem while leading by example in a highly engaging, global environment that encourages thoughtful risk-taking and self-initiative. Whats in it for you: Be part of a global company and deliver solutions at enterprise scale Collaborate with a hands-on, technically strong team (including leadership)...

About the Role: Grade Level (for internal use): 10 The Team: Join the TeraHelix team within S&P Globals Enterprise Data Organisation (EDO). We are a dynamic group of highly skilled engineers dedicated to building innovative data solutions that empower businesses. Our team works collaboratively on foundational data products, leveraging cutting-edge technologies to solve real-world client challenges. The Impact: As part of the TeraHelix team, you will contribute to the development of our marquee AI-enabled data products, including TeraHelix's GearBox, ETL Mapper and Data Studio solutions. Your work will directly impact our clients by enhancing their data capabilities and driving significant bu...

Microland Limited is looking for Associate Architect - Data Engineering to join our dynamic team and embark on a rewarding career journey Determine project feasibility based on client needs and available resources Troubleshooting and resolving code and design issuesSolid understanding of various development platforms Strong communication and interpersonal skillsAttention to detail and ability to manage multiple prioritiesExperience on designing and development

SpartaSystems is looking for Data Engineer I to join our dynamic team and embark on a rewarding career journey Liaising with coworkers and clients to elucidate the requirements for each task. Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed. Reformulating existing frameworks to optimize their functioning. Testing such structures to ensure that they are fit for use. Preparing raw data for manipulation by data scientists. Detecting and correcting errors in your work. Ensuring that your work remains backed up and readily accessible to relevant coworkers. Remaining up-to-date with industry standards and technological advancements that will improve th...