35 Luigi Jobs

Role Overview: As an AWS Snowflake DBT Developer at PWC AC, you will be responsible for architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions. You will work on implementing Cloud data engineering solutions like Enterprise Data Lake and Data hub in AWS. Your role will involve hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, ETL data Pipelines, and Big Data model techniques using Python/Java. Additionally, you will be expected to deploy Snowflake features, ensure data security and access controls, and design relational as well as NoSQL data stores. Key Responsibilities: - Architect and deliver highly scalable, distributed, cloud-based e...

Role Overview: You will be responsible for architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions. Your role will involve designing scalable data architectures with Snowflake, integrating cloud technologies such as AWS, Azure, GCP, and ETL/ELT tools like DBT. Additionally, you will guide teams in proper data modeling, transformation, security, and performance optimization. Key Responsibilities: - Architect and deliver highly scalable, distributed, cloud-based enterprise data solutions - Design scalable data architectures with Snowflake and integrate cloud technologies like AWS, Azure, GCP, and ETL/ELT tools such as DBT - Guide teams in proper data mod...

As an AI/ML Developer, you will be responsible for utilizing programming languages such as Python for AI/ML development. Your proficiency in libraries like NumPy, Pandas for data manipulation, Matplotlib, Seaborn, Plotly for data visualization, and Scikit-learn for classical ML algorithms will be crucial. Familiarity with R, Java, or C++ is a plus, especially for performance-critical applications. Your role will involve building models using Machine Learning & Deep Learning Frameworks such as TensorFlow and Keras for deep learning, PyTorch for research-grade and production-ready models, and XGBoost, LightGBM, or CatBoost for gradient boosting. Understanding model training, validation, hyperp...

As an AWS Senior Developer at PwC Advisory Acceleration Center, your role involves interacting with Offshore Manager/ Onsite Business Analyst to understand requirements and taking responsibility for end-to-end implementation of Cloud data engineering solutions like Enterprise Data Lake and Data hub in AWS. Your strong experience in AWS cloud technology, planning, organization skills, and ability to work as a cloud developer/lead on an agile team to provide automated cloud solutions will be crucial for success. **Key Responsibilities:** - Architect and deliver highly scalable, distributed, cloud-based enterprise data solutions - Implement Cloud data engineering solutions like Enterprise Data ...

Hi, Greetings from HR Central! Job Title: AWS Data Engineer Location: Airoli, Navi Mumbai (Work from Office) Client: A leading global partner in sustainable construction Experience: 4 to 8 years Education: BE / B.Tech Certification: AWS (preferred) Job Description: Strong hands-on experience in Python programming (mandatory) Expertise in Data Engineering with exposure to large-scale projects/accounts Hands-on experience with AWS Big Data platforms Redshift, Glue, Lambda, Data Lakes, Data Warehouses Strong skills in SQL, Spark, PySpark Experience in building data pipelines and data integration workflows Exposure to orchestration tools like Airflow, Luigi, Azkaban Apply Now: Interested candida...

You will be working at Paras Twin Tower, Gurgaon as a full-time employee for Falcon, a Series-A funded cloud-native, AI-first banking technology & processing platform. Falcon specializes in assisting banks, NBFCs, and PPIs to efficiently launch cutting-edge financial products like credit cards, credit lines on UPI, prepaid cards, fixed deposits, and loans. Since its inception in 2022, Falcon has processed over USD 1 billion in transactions, collaborated with 12 of India's top financial institutions, and generated revenue exceeding USD 15 million. The company is supported by prominent investors from Japan, the USA, and leading Indian ventures and banks. To gain more insights about Falcon, vis...

As a skilled ETL Developer, you will be responsible for developing and optimizing scalable data pipelines to efficiently extract, transform, and load data from various sources. Leveraging technologies like Spark, Dask, and other modern ETL frameworks, you will play a key role in ensuring the smooth operation of data processes. Your duties will include implementing data quality controls, monitoring processes, and providing mentorship to junior ETL developers. Collaboration with the infrastructure team is vital to ensure the availability, reliability, and scalability of ETL solutions. Additionally, you will participate in code reviews, contribute to coding standards, and stay updated on emergi...

You are invited to apply for the position of Data Engineer at our company based in Bengaluru. As a Data Engineer with 5 to 7 years of experience, you will be responsible for designing, building, and optimizing scalable data pipelines and infrastructure. Collaborating closely with data scientists, analysts, and software engineers, you will play a key role in ensuring the reliable and efficient delivery of data across our data ecosystem. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. You should have at least 3 to 5 years of experience in data engineering or a similar role. Proficiency in SQL and one programmin...

You are a skilled and proactive Python / PySpark Developer sought to join the data engineering or analytics team. Your responsibilities will include building scalable data pipelines, performing large-scale data processing, and collaborating with data scientists, analysts, and business stakeholders. You will design, develop, and optimize ETL data pipelines using PySpark on big data platforms (e.g., Hadoop, Databricks, EMR). Writing clean, efficient, and modular code in Python for data processing and integration tasks is essential. Working with large datasets to extract insights, transform raw data, and ensure data quality will be part of your daily tasks. Collaborating with cross-functional t...

Overview Will lead data pipeline development end-to-end, spanning data modeling, testing, scalability, operability and ongoing metrics. We work in Python / Airflow: however, languages can be learned. We put more emphasis on your general engineering skill and willingness to learn than knowledge of a particular language or framework. This is a senior role that requires exceptional programming skills, proven technical leadership, ability to collaborate cross-functionally with business stakeholders, product managers, designers, and other technology leaders. We are looking for senior engineers with a passion for technology, researching new solutions and ways of working, who enjoy mentoring other ...

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins. Why join Coupa Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. Collaborative Culture: We value collaboration and teamwork, and our culture i...

At PwC, the focus in data and analytics engineering is on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You 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 concentrate on designing and building data infrastructure and systems to enable efficient data processing and analysis. Your responsibilities include developing and implementing data pipelines, data integration, and data transformation solutions. As an AWS Architect / Manager at PwC - AC, you will interact with Offshore Manager/Onsite Business Analyst to under...

A career in our Advisory Acceleration Centre is the natural extension of PwC's leading class global delivery capabilities. We provide premium, cost-effective, high-quality services that support process,

As an AWS Developer at PwC's Advisory Acceleration Center, you will collaborate with the Offshore Manager and Onsite Business Analyst to comprehend requirements and take charge of implementing Cloud data engineering solutions on AWS, such as Enterprise Data Lake and Data hub. With a focus on architecting and delivering scalable cloud-based enterprise data solutions, you will bring your expertise in end-to-end implementation of Cloud data engineering solutions using tools like Snowflake utilities, SnowSQL, SnowPipe, ETL data Pipelines, and Big Data model techniques using Python/Java. Your responsibilities will include loading disparate data sets, translating complex requirements into detailed...

You will be joining McDonald's Corporation, one of the world's largest employers with a presence in over 100 countries, at their corporate opportunity in Hyderabad. The global offices in Hyderabad serve as innovation and operations hubs, fostering McDonald's global talent pool and in-house expertise. In this role, you will play a pivotal part in developing impactful solutions for the business and customers worldwide, focusing on business, technology, analytics, and AI. As a Data Engineer at the G4 level, you will be responsible for creating scalable and efficient data solutions to support the Brand Marketing and Menu function, with a specific emphasis on the Menu Data product and associated ...

As an AWS Developer at PwC's Acceleration Center in Bangalore, you will be responsible for the end-to-end implementation of Cloud data engineering solutions like Enterprise Data Lake and Data hub in AWS. You will collaborate with Offshore Manager/Onsite Business Analyst to understand requirements and architect scalable, distributed, cloud-based enterprise data solutions. Your role will involve hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, ETL data Pipelines, and Big Data model techniques using Python/Java. You must have a deep understanding of relational and NoSQL data stores, methods, and approaches such as star and snowflake dimensional modeling. Strong expertise in AWS ...

As a Senior AWS Data Engineer Cloud Data Platform at Teamware Solutions, a division of Quantum Leap Consulting Pvt. Ltd, located in Bangalore, you will be responsible for end-to-end implementation of Cloud data engineering solutions like Enterprise Data lake and Data hub in AWS. Working onsite in an office environment for 5 days a week, you will collaborate with the Offshore Manager and Onsite Business Analyst to understand the requirements and deliver scalable, distributed, cloud-based enterprise data solutions. You should have a strong background in AWS cloud technology, with 4-8 years of hands-on experience. Proficiency in architecting and delivering highly scalable solutions is a must, a...

About Tredence : Tredence focuses on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data science and software engineering. The largest companies across industries are engaging with us and deploying their prediction and optimization solutions at scale. Head quartered in the San Francisco Bay Area, we serve clients in the US, Canada, Europe, and South East Asia. We are seeking an experienced data scientist who apart from the required mathematical and statistical expertise also possesses the natural curiosity and creative mind to ask questions, connect the dots, and uncover opportunities that lie hidden with the ultimate goal of r...

The ideal candidate should possess extensive expertise in SQL, data modeling, ETL/ELT pipeline development, and cloud-based data platforms like Databricks or Snowflake. You will be responsible for designing scalable data models, managing reliable data workflows, and ensuring the integrity and performance of critical financial datasets. Collaboration with engineering, analytics, product, and compliance teams is a key aspect of this role. Responsibilities: - Design, implement, and maintain logical and physical data models for transactional, analytical, and reporting systems. - Develop and oversee scalable ETL/ELT pipelines to process large volumes of financial transaction data. - Optimize SQL ...

As a Data Engineer at our company, you will be responsible for building and maintaining scalable data pipelines and ETL processes using Python and related technologies. Your primary focus will be on developing efficient data pipelines to handle large volumes of data and optimize processing times. Additionally, you will collaborate closely with our team of data scientists and engineers at Matrix Space. To qualify for this role, you should have 2-5 years of experience in data engineering or a related field, with a strong proficiency in Python programming. You must be well-versed in libraries such as Pandas, NumPy, and SQL Alchemy, and have hands-on experience with data engineering tools like A...

We are looking for a Data Engineer to join our data team. You will be responsible for managing our master data set, developing reports, and troubleshooting data issues. To excel in this role, attention to detail, experience as a data analyst, and a deep understanding of popular data analysis tools and databases are essential. Your responsibilities include: - Building, maintaining, and managing data pipelines for efficient data flow between systems. - Collaborating with stakeholders to design and manage customized data pipelines. - Testing various ETL (Extract, Transform, Load) tools for data ingestion and processing. - Assisting in scaling the data infrastructure to meet the organization's g...

As a Data Engineer at our company, your primary responsibility will be the development and maintenance of scalable and efficient data pipelines and ETL processes using Python and related technologies. You will play a crucial role in optimizing the performance of these pipelines and queries to handle large volumes of data and improve processing times. Collaboration is key in this role, as you will closely work with our team of data scientists and engineers at Matrix Space. To excel in this position, you should have 2-5 years of experience in data engineering or a related field with a strong focus on Python. Proficiency in Python programming is a must, including knowledge of libraries such as ...

You are a Data Engineer with 3+ years of experience, proficient in SQL and Python development. You will be responsible for designing, developing, and maintaining scalable data pipelines to support ETL processes using tools like Apache Airflow, AWS Glue, or similar. Your role involves optimizing and managing relational and NoSQL databases such as MySQL, PostgreSQL, MongoDB, or Cassandra for high performance and scalability. You will write advanced SQL queries, stored procedures, and functions to efficiently extract, transform, and analyze large datasets. Additionally, you will implement and manage data solutions on cloud platforms like AWS, Azure, or Google Cloud, utilizing services such as R...

Working with data on a day-to-day basis excites you, and you are interested in building robust data architecture to identify data patterns and optimize data consumption for customers who will forecast and predict actions based on data. If this excites you, then working in our intelligent automation team at Schneider AI Hub is the perfect fit for you. As a Lead Data Engineer at Schneider AI Hub, you will play a crucial role in the AI transformation of Schneider Electric by developing AI-powered solutions. Your responsibilities will include expanding and optimizing data and data pipeline architecture, ensuring optimal data flow and collection for cross-functional teams, and supporting software...

As a DataOps Engineer, you will be responsible for designing and maintaining scalable ML model deployment infrastructure using Kubernetes and Docker. Your role will involve implementing CI/CD pipelines for ML workflows, ensuring security best practices are followed, and setting up monitoring tools to track system health, model performance, and data pipeline issues. You will collaborate with cross-functional teams to streamline the end-to-end lifecycle of data products and identify performance bottlenecks and data reliability issues in the ML infrastructure. To excel in this role, you should have strong experience with Kubernetes and Docker for containerization and orchestration, hands-on exp...