Redshift Jobs in Noida

Data Engineer Location: Noida Experience: 2 5 Years Employment Type: Full Time About Times Internet Times Internet is India s largest digital products company, building premium digital platforms across diverse sectors like News, Sports, Fintech, and Enterprise Solutions. Our brands such as TOI, ET, Cricbuzz, Times Prime, Willow TV, and Whatshot reach millions and are designed to simplify and enrich everyday experiences. We take pride in fostering an inclusive, innovative workplace. As an equal opportunity employer, we ve maintained gender pay parity (independently verified by Aon Hewitt) and are committed to building a diverse and equitable team. About the Business Unit ET B2B The Economic Times B2B Verticals (ETB2B) is a leading business media platform, delivering insightful content, newsletters, and premium conferences across 23+ sectors including Auto, Energy, Pharma, Retail, and HR. With a monthly reach of over 8 million professionals, ETB2B powers business decision-making and industry learning through platforms like ET Masterclass, vConfex, and the ET B2B Intent Signal Platform a cutting-edge initiative leveraging behavioral data, enrichment tools, and event-driven insights. Role Overview As a Data Engineer, you will work on building scalable data pipelines, deploying machine learning models, and extracting actionable buyer intent signals using a variety of data sources and advanced ML/NLP techniques. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines to process large-scale structured and unstructured data (web behavior, CRM, third-party APIs, etc.). Build predictive models to extract buyer intent signals, leveraging NLP, behavioral analytics, and pattern recognition. Use modern ML and NLP tools: spaCy, Transformers, Scikit-learn, TensorFlow, PyTorch, and OpenAI APIs. Collaborate with product managers, backend engineers, and data scientists to deploy models into production and optimize performance. Ensure data pipeline reliability, compliance (GDPR, SOC 2), and freshness through robust monitoring and alerting systems. Enhance pipeline and model inference efficiency for near real-time scoring applications. Document workflows, model performance, and pipeline architecture for internal transparency and reproducibility. Required Skills & Qualifications Strong experience in Python for data engineering, ML pipelines, and model integration. Proficiency with ETL tools (Airflow, Prefect), data processing frameworks (Pandas, Dask), and workflow orchestration. Knowledge of machine learning and NLP techniques (entity extraction, sentiment analysis, text classification). Familiarity with ML model deployment via Docker, Kubernetes, and cloud ML services (AWS SageMaker, GCP AI Platform, Azure ML). Experience with relational databases (PostgreSQL, MySQL) and cloud data warehouses (BigQuery, Redshift, Snowflake). Strong grasp of version control (Git), CI/CD pipelines, and agile collaboration tools. Ability to interpret, visualize, and communicate model insights effectively working alongside analysts or through dashboards. Education & Experience Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related technical field. 2 5 years of hands-on experience in data engineering, applied ML, or software development, ideally in SaaS, Martech, or B2B analytics domains. Be part of India s largest digital ecosystem. Work on impactful, high-scale products with real-world value. Collaborate with top minds in data, AI, and product development. Enjoy a culture of innovation, inclusion, and continuous growth. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related technical field

Assistant General Manager Analytics (Risk Product) Location: Noida, Uttar Pradesh (Onsite) Company: Paytm India s Leading Mobile Payments & Financial Services Platform About Paytm Paytm is India s pioneer in mobile payments and financial services distribution, revolutionizing the digital economy with mobile QR payments. Our mission is to bring half a billion Indians into the mainstream economy using cutting-edge technology. Join us to be part of India s largest fintech lending revolution. Role Overview We are looking for an experienced Assistant General Manager Analytics to lead data analysis and reporting efforts for our lending verticals. This role demands strong expertise in SQL, dashboarding tools, and a passion for using AI to automate repetitive data workflows. You will collaborate with multiple stakeholders, deliver actionable insights, and drive data quality improvements across lending products. Key Responsibilities Develop, maintain, and automate comprehensive reports and dashboards tracking KPIs across lending verticals. Manage and prioritize data and analytics requirements from multiple lending teams. Analyze lending data trends to provide insights and actionable recommendations. Ensure data quality, accuracy, and integrity through robust methodologies. Present findings effectively to both technical and non-technical audiences. Identify opportunities to apply AI for automating repetitive data processes and improving efficiency. Stay current with industry trends in data analytics, AI, and fintech lending. Qualifications Bachelor s degree in a quantitative field (Statistics, Mathematics, Economics, Engineering, etc.). 5 7 years of hands-on experience in data analytics, preferably in lending or financial services. Strong proficiency in SQL and PySpark for data manipulation and analysis. Expertise with data visualization tools such as Tableau, Power BI, or Looker. Excellent analytical, problem-solving, and communication skills. Ability to manage multiple projects and collaborate across teams. Self-driven with a demonstrated passion for AI implementation and automation. Preferred Skills Experience with statistical modeling and data mining techniques. Familiarity with cloud data warehousing platforms like Snowflake, BigQuery, or Redshift. Programming experience in Python or R. Proven track record of implementing AI-driven automation in business analytics. Be part of India s largest fintech lending platform with 500+ million users and 21+ million merchants. Work in a high-energy, innovative environment that fosters career growth and excellence. Opportunity to contribute to democratizing credit and financial inclusion in India. Play a critical role in shaping the future of digital lending in the country. Qualification : Bachelors degree in a quantitative field (Statistics, Mathematics, Economics, Engineering, etc.)

AWS Engineer | Cloud Infrastructure | EC2 | Lambda | Auto Scaling | Terraform | Noida Location: Noida, Uttar Pradesh, India Position: AWS Engineer Experience: 2-4 years Department: Cloud Infrastructure / DevOps Job Description: We are looking for a highly skilled AWS Engineer to join our Cloud Infrastructure team in Noida. As an AWS Engineer, you will be responsible for managing and optimizing cloud infrastructure on Amazon Web Services (AWS), ensuring high availability, scalability, and security of the applications and services. Your role will involve working with various AWS services such as EC2, Lambda, S3, RDS, and more. You will also manage network connectivity, billing, and automation processes using Terraform and CloudFormation. Key Responsibilities: AWS Infrastructure Management: Manage and optimize AWS services, including EC2, RDS, Lambda, EKS, Elastic Load Balancing (ELB), Auto Scaling, Elastic IP, VPC, S3, Route 53, CloudWatch, CloudTrail, IAM, Redshift Spectrum, QuickSight, ElasticCache, and more. Network Connectivity & Troubleshooting: Resolve AWS network connectivity issues and ensure the seamless operation of cloud services. AWS Scripting & Billing: Use AWS scripting to automate tasks, manage AWS billing, and optimize resource utilization. Automation with Terraform & CloudFormation: Implement infrastructure as code using Terraform and AWS CloudFormation to provision and manage AWS resources efficiently. Windows Server & Active Directory: Troubleshoot and manage Windows Server environments, including OS-level issues and Active Directory administration. 24/7 Support Environment: Be part of a 24/7 support team, ensuring timely resolution of issues and maintaining the performance and availability of cloud infrastructure. Required Skills and Experience: 2-4 years of experience in managing AWS infrastructure, with hands-on experience in services like EC2, Lambda, Auto Scaling, RDS, and VPC. Strong understanding of AWS networking components such as Elastic Load Balancing, Route 53, Direct Connect, CloudFront, and Security Groups. Proficient in using AWS scripting, Terraform, and CloudFormation to automate and manage cloud infrastructure. Experience in troubleshooting Windows Server issues and working with Active Directory. Willingness to work in a 24/7 support environment and handle emergency situations as required. Strong communication skills for effective collaboration with the team and stakeholders. Must reside in Uttar Pradesh (U.P.) or be willing to relocate to Noida. Preferred Skills: Experience with AWS billing management and cost optimization. Familiarity with ElasticCache, CloudWatch, and CloudTrail for monitoring and logging. Experience with OpenSearch, Redshift Spectrum, and QuickSight for data analytics and visualization.

Job Summary: We are seeking a skilled Data Engineer with 2-5 years of industry experience to join our dynamic team. The ideal candidate will have a strong background in data engineering and a keen interest in the drug safety or pharmacovigilance domain. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure to support our data-driven initiatives. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality and integrity through rigorous testing and validation. Optimize and tune data processing systems for performance and scalability. Implement data governance and security best practices. Work with large datasets from various sources, including clinical trials, adverse event reports, and other pharmacovigilance data. Develop and maintain documentation for data engineering processes and systems. Qualifications: Bachelor s degree in computer science, Engineering, or a related field. 2-5 years of experience in data engineering or a related role. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle RDBMS). Experience with big data technologies (e.g., Hadoop, Spark). Familiarity with data warehousing solutions (e.g., Redshift, Big Query). Strong programming skills in Python, Java, or Scala. Experience with cloud platforms (e.g., AWS, Azure, GCP). Knowledge of data modeling, ETL processes, and data integration. Experience in the drug safety or pharmacovigilance domain is a plus. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Qualification : Bachelors degree in computer science, Engineering, or a related field.