Top Data Science Jobs in Mumbai, MH
Drivetrain is looking for a Data Engineer to build and monitor large-scale data pipelines, develop DBT setup, collaborate with the data platform team, and craft cutting-edge data solutions.
Seeking an enthusiastic Entry-Level Data Engineer with a focus on AI to assist in designing, building, and maintaining data infrastructure that supports artificial intelligence and machine learning initiatives. Responsibilities include data pipeline development, data integration, AI & ML support, data monitoring, and troubleshooting. Preferred skills include practical knowledge of programming languages, SQL, AI frameworks, big data technologies, cloud platforms, data modeling, and strong analytical skills.
Create high-quality predictive signals using large datasets, identify statistical patterns, implement signals, and monitor performance. Strong coding skills in Python, R, Matlab, C++, C#. Advanced degree in quantitative field required. Ability to multi-task, explore large datasets, and work autonomously.
As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. Your role involves engineering the backbone of the data infrastructure, ensuring the availability of pristine, refined data sets, and transforming raw data into actionable insights for strategic decisions and innovation.
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.
Seeking bright and resourceful individuals for the Data team at AlphaGrep, a quantitative trading and investment firm in Mumbai. Responsibilities include building infrastructure tools, optimizing data delivery, coordinating with global teams, and writing efficient code. Required skills include Python and SQL knowledge. Good to have experience with web crawling, Linux environment, and stock market data.
Seeking a Senior Analytics Engineer to lead the transformation layer of a data platform at a fast-growing fintech company. Responsibilities include developing scalable patterns, ensuring data discoverability, and collaborating with various teams. Must have 3+ years of experience in data engineering or analytics, expertise in SQL and Python, and strong relational database skills.
Manage extensive datasets, design and implement data store/API, integrate datasets, support users (Quants & Traders). Requires advanced Python knowledge, experience with structured/unstructured data, financial assets/market data familiarity, and new age technologies.
The Data Engineer Associate at Genworth works closely with Project Stakeholders and Technical team to develop and maintain Pre/Post processing programs and ML models. Responsibilities include building machine learning pipelines, developing python programs, utilizing GCP tools, working with cross-functional teams, and developing Enterprise API and Microservices using Python, JavaScript, Docker, Kubernetes.
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.
Design, build, and maintain scalable data pipelines and ETL processes, collaborate with teams, optimize database systems, implement data quality processes, evaluate new tools and technologies, troubleshoot data-related issues, document processes, stay current with industry trends, guide and mentor team members, stakeholder management, and leadership skills.
Join Thrasio as a Senior Data Analytics Engineer to solve complex business problems by leveraging data, building scalable processes, and compelling visualization. Partner with stakeholders, develop scalable data solutions, and drive efficiency in processes.
The Data Practise Lead will be responsible for designing technical solutions, data architecture, and data security for U.S, Europe, and APAC clients. They will work on data models, databases, ETL workflows, data integration, and data quality within the organisation. Additional responsibilities include collaborating with stakeholders, staying current with industry trends, and implementing data quality tools.
Collaborate with stakeholders to understand data requirements and develop data models. Design data integration processes and data warehousing solutions. Establish data governance policies and procedures. Work with cross-functional teams and stay informed about data modelling trends.
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 Senior Data Engineer to join the Campaign Analytics team at Nielsen. Responsibilities include designing and building complex data processing workflows, collaborating with product and data science teams, mentoring junior developers, and maintaining good programming standards. Qualifications include a Bachelor's in Computer Science, 5-8 years of professional engineering experience, and proficiency in Python, SQL, Spark, AWS, and more.
The Senior Analytics Engineer at Remote will be responsible for designing, developing, and maintaining dbt models for data transformation and analysis. They will work collaboratively on challenging data problems and make an impact with their work, using modern data tooling such as SQL, Python, and various data platforms.
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.
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.
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