Top Data Engineer Jobs in Pune, MH
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.
As a Data Engineer at Walmart, you will be responsible for developing and maintaining data pipelines to support data science initiatives. You will work with a mammoth scale of data to create valuable data assets for retail analytics. Collaboration with Data Scientists, Analysts, and business stakeholders to solve complex challenges is crucial for evolving the retail business model.
The Data Engineer at Sovereign will be responsible for maintaining large historical data stores, cleaning data, and building tools for researchers to access data easily in different formats.
The Data Engineer III at Sam's Club Tech will work on building and supporting a sophisticated segmentation tool for marketing/advertising purposes, developing backend software services for advertising on Walmart.com, and maintaining APIs for advertisers to manage ad campaigns.
Develop high performance and scalable solutions for extracting, transforming, and loading big data. Design and deploy cutting-edge solutions at scale to drive value from data at Walmart. Support People Data applications ensuring Data Quality and Governance standards. Collaborate with engineering teams globally to ensure data accuracy and quality.
Seeking an experienced Azure Cloud Engineer to build scalable solutions in Azure for Data & Analytics Platform. Responsibilities include managing Azure environment, designing multi-region solutions, migrating to cloud-based solutions, and ensuring data protection best practices. Required skills include Microsoft Azure, IaaS, PaaS, Agile framework, Terraform, Python, C#, Azure services, GIT, ADO, and Jira.
Design, build, test, and deploy cutting-edge solutions at scale impacting millions of customers worldwide. Develop high-performance and scalable solutions/APIs in Storm, Spark, and big data. Work on optimizing data pipelines and architectures involving petabyte and terabyte of data. Collaborate with engineering teams and engage with product management to drive the agenda and deliver product features. Analyze and test programs before launch, ensure software security, and seek ways to improve software effectiveness.
Design, develop, and maintain sophisticated software/data platforms as a Senior Data Engineer at Oportun. Contribute to architectural decisions, mentor junior engineers, and collaborate with cross-functional teams to deliver scalable solutions. Responsible for achieving the engineering group's charter and advancing impact in the market.
Seeking a Data Engineer to design, develop, and implement data pipelines and solutions using Scala, Spark, and GCP. Responsibilities include data modeling, ETL processes, and ensuring data quality. Requires 3 years of experience and strong programming skills in Scala.
The Data Engineer II is responsible for ensuring accurate and pertinent data for the Legal and Compliance departments. They extract and analyze data from multiple databases/platforms, design analytics models, and address business challenges. The role involves ensuring data integrity, conducting root-cause analyses, and implementing corrective measures for data-related issues.
As a Senior Data Engineer at Oportun, you will design, develop, and maintain sophisticated software and data platforms. You will contribute to architectural decisions, mentor junior engineers, and collaborate with cross-functional teams to deliver high-quality solutions.
Support the implementation, maintenance, and monitoring of data standards for Precision for Medicine’s laboratory services unit. Create production-level source code, execute data processing pipelines, and collaborate with internal and external stakeholders. Bachelor's degree in data management or related field required.
Data Engineer responsible for implementing data security and management solutions, managing data models, schemas, and metadata, identifying and mitigating security risks, ensuring compliance with data privacy laws, and collaborating with IT teams and stakeholders.
Develop high performance and scalable solutions that extract, transform, and load big data. Design, build, test, and deploy cutting-edge solutions at scale impacting millions of customers worldwide. Provide guidance and mentorship to junior data engineers and ensure data quality and governance standards are met.
Join Miles, a rewards app revolutionizing travel rewards. As a Data Engineer, you will build data products, maintain pipelines, analyze new data sources, and collaborate with cross-functional teams. Requires expertise in SQL, Pyspark, Pandas, Tableau, data querying, and stream-processing systems.
Seeking a full-time Data Engineer at Appfire to help build and evolve company-wide data assets. Responsibilities include building data pipelines, maintaining infrastructure, developing monitoring solutions, driving the evolution of data lake/warehouse, and staying updated on data landscape technologies.
As a Data Engineer at H1, you will collaborate with a multidisciplinary team to analyze and interpret medical data, develop algorithms for data processing, work on integrating applications with healthcare IT systems, and stay updated with the latest technology and healthcare sector developments to improve data analysis.
Seeking a Senior Staff Data Engineer to lead the development of data infrastructure, data processing, and quality checks. Responsibilities include setting strategic vision, providing technical leadership, collaborating with data scientists, and optimizing data infrastructure for performance and scalability.
Design, build, and manage data pipelines using Apache Spark and Scala. Utilize Google Cloud Platform for large-scale data processing systems. Analyze complex data sets and implement internal process improvements. Provide technical leadership and coaching to junior team members.
As a Senior Data Engineer at Arkose Labs, you will be responsible for developing and supporting data flows, pipelines, and analytics platforms. This role requires experience in designing and maintaining data-driven solutions, strong knowledge of programming languages and SQL, and hands-on experience with data warehousing technologies.
Lead Data Engineer responsible for designing, developing, and maintaining data infrastructure, leading a team of data engineers, and contributing to overall data strategy. Requires expertise in Microsoft data technologies, strong data modelling skills, and experience in Agile environments.
Seeking a Data Engineer to design, develop, and maintain data solutions for analytics and business purposes. Responsibilities include data integration, processing, retrieval, and transformation to enable valuable insights for decision-making. The role requires collaboration with cross-functional teams to enhance data solutions leveraging modern tech stack.
Design, develop, and maintain robust ETL processes for financial data integration and transformation. Collaborate with finance teams, manage projects, develop dashboards, and present data-driven insights to executives. Provide technical support and training on financial data tools.
Design, develop, and implement a cost-effective, scalable, and secured Ingestion framework for a global business. Work with stakeholders to understand and define business needs, ingest data into Google cloud platform, and implement processes for data storage, analysis, modeling, reporting, and governance.
Staff Data Engineer responsible for designing and developing data-driven frameworks and applications on the Cloud platform. Must have extensive experience in developing enterprise-scale Big Data solutions and working with AWS tools. Responsibilities include participating in the full software lifecycle, interacting with teams to determine data dependencies, mentoring junior members, and collaborating with product management teams.
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