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Top Data Engineer Jobs in Pune
The Data Engineer II is responsible for ensuring accurate data provision in support of Legal and Compliance departments. Key responsibilities include extracting and analyzing data, implementing enhancements to business analytics solutions, validating data sources, and conducting root-cause analyses on data issues. This role collaborates with teams to develop performance forecasts and improve data quality across the organization.
As a Senior Data Engineer at Motive, you will be responsible for building data pipelines, designing data models, and working with multiple teams to deploy robust data operations. The role requires 6+ years of experience in Data Engineering and strong skills in SQL, Python, and modern data engineering technologies.
The Azure Data Engineer will oversee the Azure BigData platform, collaborate with vendors and data teams, write Python scripts and assist in data ingestion and transformation projects, as well as manage various Azure components and services.
As a Data Engineer III, you will design, develop, and implement data pipelines and integration solutions using Spark, Scala, and Google Cloud Platform. You'll collaborate with teams to ensure data quality, optimize data workflows, and monitor data pipelines for reliability while helping analysts and data scientists access necessary data sets.
As a Senior Data Engineer, you will develop and optimize data pipelines, design and implement data models, and ensure data quality for various business functions, particularly in Sales and Marketing. You will collaborate with cross-functional teams to meet reporting and ad hoc requests while monitoring and troubleshooting ETL workflows.
The Data Engineer will work collaboratively across teams to implement data security solutions, manage data models and databases, conduct risk assessments, and ensure compliance with privacy laws. Responsibilities include developing data-centric strategies, training stakeholders, and improving security observability services.
As a Senior Data Engineer at Atlassian, you will play a pivotal role in influencing product teams, inform data strategies, ensure data quality, collect and transform data, and generate insights to enhance product experience and engagement. Your work will help improve efficiency and support strategic goals across the business.
As a Senior Data Engineer on the People Data Engineering Team at Walmart, you'll develop scalable big data solutions, ensuring data quality and governance while interacting with global engineering teams. Your expertise in big data technologies and SQL will help optimize data processes and contribute to the technical community.
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As a Data Engineer, you will design and implement scalable data solutions on AWS, develop data pipelines, build models and warehouses, collaborate with data scientists, optimize data processing, and ensure data security and compliance.
The Analytics Engineer will develop and support data delivery pipelines, enhance observability in the data environment, and automate processes across data platforms. The role requires a multidisciplinary approach to data operations and effective tool selection for optimal outcomes.
The Data Ops Engineer will administer and optimize the Tableau platform, ensure performance and security, and automate data processes. Responsibilities include performance analysis, improving observability and documentation, maintaining data pipelines, and collaborating with data practitioners to enhance solutions.
Senior Data Engineer responsible for designing, building, and maintaining data pipelines on Google Cloud Platform (GCP). Must have deep understanding of GCP services, experience with data modeling and optimization, strong analytical skills, and proficiency in Java, Python.
The Data Engineer will develop, maintain, and optimize data pipelines and workflows to support Machine Learning (ML) research. Responsibilities include implementing scalable data architectures, collaborating with researchers, working with databases, writing efficient code, and ensuring data integrity and performance.
As a Lead Data Engineer, you will manage the Azure cloud environment, design and implement scalable solutions, analyze and improve operational processes, engage in Proof of Concepts, migrate infrastructure to cloud solutions, and develop infrastructure as code with robotic processes while ensuring data protection policies are in place.
The Assistant Product Data Engineer will assist in data preparation, upkeep of product data, and material number classification. Responsibilities include preparing process documents, guiding other engineers, and supporting internal customers in project tasks while maintaining clear communication and applying new skills to documentation processes.
As a Data Engineer, you will build and optimize data pipelines and architectures to support analytics and reporting needs. This role focuses on ensuring high data quality and seamless integration across digital marketing sources while collaborating with teams to improve decision-making through reliable data.
The Data Engineer II role at Cencora focuses on providing accurate data support for Legal and Compliance departments. Responsibilities include data extraction and analysis, data quality validation, and developing analytics models to address business challenges. The position requires data monitoring, collaborating with teams, and ensuring data integrity for effective decision-making.
Responsible for designing and developing big data solutions, moving legacy workloads to cloud platform, building data pipelines, ensuring automation through CI/CD, and optimizing performance of big data applications. Also involved in evaluating IT developments and recommending system enhancements.
The Data Engineer will design and implement efficient database schemas, focusing on normalization and optimization. Responsibilities include transforming raw data for the Turbo product, ensuring data integrity and performance, and collaborating with teams to align data pipeline with business needs.
The Mid-Level Data Engineer at Fusemachines will design, build, and maintain infrastructure for data integration, storage, and analytics. They will develop data pipelines and models to support AI/ML projects aimed at enhancing customer experience and driving business growth in the food services sector.
As an Azure Data Engineer Analyst, you will design and implement Azure native data solutions, develop and optimize data pipelines, create robust data models, and mentor junior team members. You'll also work on implementing data processing using various Azure services, design job orchestration, and develop reusable components.
The Sr Cloud Data Engineer will lead data integration efforts, create and maintain data management standards, develop data pipelines using AWS services, manage complex data models, and present data insights to both technical and non-technical stakeholders. They will ensure data quality and facilitate collaboration among various departments.
The Data Engineer will design, implement, and manage data pipelines using Apache Airflow, migrating legacy SQL Server jobs and automating data processes related to real estate Deeds data. Responsibilities include integrating workflows with AWS Glue, ensuring data quality, and collaborating with various team members for successful project execution.
The GCP Data Engineer will work remotely as part of a full-time team, focusing on utilizing GCP technologies like Big Query and Data Flow to manage and optimize data processes.
The Associate Data Engineer will be involved in the full software product lifecycle, providing support to feature squads, improving monitoring solutions, and exploring new technologies to enhance site reliability. The role requires hands-on development of scalable data engineering pipelines using Java or Python and knowledge of databases and cloud environments.
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