Top Data Science Jobs in Chennai, TN
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 a Senior Data Scientist with 8+ years of experience in Python, Linux, and ML. Responsible for developing and deploying machine learning models, collaborating with stakeholders, and managing multiple projects in a deadline-driven environment.
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 and maintain optimal data pipeline architecture, assemble large and complex data sets, identify and implement process improvements, build analytics tools, work with stakeholders, ensure data security, create data tools, and strive for greater functionality in data systems.
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.
Design and create data pipelines for ingestion of streamed and batch data into Azure services. Develop data wrangling, cleaning data, and building pipelines. Design and develop BI visualizations using Power BI and Tableau.
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.
Responsible for extracting knowledge and insights from high volume, high dimensional data to investigate complex business problems through data preparation, modeling, analysis, and visualization techniques. Develops statistical solutions, predictive models, and strategic plans based on data science techniques. Collaborates with product teams to identify data analysis opportunities and experiments.
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.
Focus on deriving valuable business insights from data, developing highly scalable data pipelines, working closely with data scientists and senior leadership, owning and building data models, and solving complex business problems with cloud technologies.
Lead - Data Engineer position at Hogarth, a global content experience company partnering with top brands. Responsibilities include data analysis, data modeling, collaboration with data scientists and reporting engineers, leading new product development, adhering to technical standards, and working within an agile environment.
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.
Responsible for designing, building, and overseeing the deployment and operation of technology architecture and software to capture, manage, and utilize structured and unstructured data from various sources. Develops data structures, pipelines, and tools using Python, SQL, and other technologies to cleanse, organize, and transform data. Collaborates with data modelers/analysts to create data assets for analysis.
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.
Responsible for designing, building, and overseeing the deployment and operation of technology architecture, solutions, and software to capture, manage, store, and utilize structured and unstructured data. Develops data structures and pipelines, ensures data quality, creates ingestion frameworks, and participates in the implementation of solutions via data architecture and engineering.
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.
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.
Responsible for designing, building, and overseeing the deployment and operation of technology architecture, solutions, and software to capture, manage, and utilize structured and unstructured data from internal and external sources. Develops data structures and pipelines, ensures data quality, creates ingestion frameworks, and collaborates with data modelers/analysts.
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.
Responsible for designing, building, and overseeing the deployment and operation of technology architecture and software to capture, manage, store, and utilize structured and unstructured data. Develops data structures and pipelines, ensures data quality, and creates ingestion frameworks. Works on data warehouses, data lakes, and data access APIs on both on-prem and cloud platforms.
Responsible for designing, building, and overseeing the deployment and operation of technology architecture, solutions, and software to capture, manage, store, and utilize structured and unstructured data from internal and external sources. Develops data structures and pipelines aligned to established standards to organize, collect, standardize, and transform data. Collaborates with data modelers/analysts to feed data assets for analysis.
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