jobs in the wild.

We at Advance Auto Parts India (India Innovation Center) are #hiring for an experienced #AssociatePricingScientist #datascience for our office in #hyderabad #JoinOurTeam , be #valued for who you are and #advanceyourcareer . Role Summary: Passionate about turning data into pricing decisions that drive revenue and customer value? Join our Pricing Science team and work on cutting-edge pricing and discount optimization models impacting the North American retail business. What Youll Do: 1) Build pricing analytics solutions for retail and professional business 2) Develop price elasticity, demand forecasting amp; customer segmentation models 3) Perform A/B testing and statistical analysis 4) Apply Machine Learning, Econometrics and Optimization techniques 5) Partner with global business stakeholders to drive data-driven pricing What Were Looking For: 1) 2-4 years in Data Science, Pricing Analytics, Retail Analytics, or eCommerce Analytics 2) Strong expertise in Python/R, SQL, Snowflake amp; Power BI 3) Experience with Machine Learning, Regression, Classification, Time Series Forecasting (ARIMA/SARIMAX) 4) Strong understanding of Price Elasticity, Econometrics & Demand Forecasting 5) Masters/PhD preferred in Data Science, Economics, Mathematics, Statistics, or related fields #DataScience #PricingAnalytics #PricingScience #MachineLearning #Econometrics #PriceElasticity #DemandForecasting #RetailAnalytics #Python #SQL #Snowflake #PowerBI Opportunity awaits at (apply here): https://lnkd.in/dxEQ5wfd Srinivas Nandigam Vishwesh Khandkar N Madhusudan Rao Chiranjiv Das Rupesh Vanama SanTosh Kumar Bollepalli

This is a full-time remote role, and needs strong hands-on experience with Databrick, python, Azure and AWS. You’ll be building and owning data pipelines end-to-end — ingestion to curated, analytics-ready data — on a modern lakehouse stack. Medallion architecture, Delta Lake, Unity Catalog, DLT, PySpark. The works. What we’re looking for: 1. 5+ years in data engineering (real experience, not resume padding) 2. Deep Databricks hands-on: Spark, Delta Lake, Workflows, Unity Catalog, cluster tuning 3. Expert-level Python: OOP, packaging, testing, the full software engineering discipline 4. Strong Azure (ADLS Gen2, ADF, Event Hubs) and AWS (S3, Glue, Lambda, Kinesis) 5. Can work with a minimum 4-hour daily overlap with US Eastern Time Candidate's preferred location: Mumbai or Pune, though the role is remote. If this sounds like you, send over your resume and a short note on your most relevant Databricks and Python project to connect@varysdi.com (No DMs). High intent only. AI slop is deeply discouraged and frowned upon! If anyone in your network comes to mind after reading this, we appreciate you pointing them our way. #Hiring #DataEngineering #Databricks #Python #Azure #AWS #DataPlatform #RemoteWork #LakeHouse #PySpark #TechHiring #DeltaLake #DataEngineer Varys DI Parth Waidya

I'm hiring a Senior Data Engineer for a fast-growing AI startup that builds training data for physical AI and robotics. You'll own the full pipeline that turns real-world audio, video and first-person (egocentric) video into datasets that frontier AI labs train on: 🔹 Ingest: multimodal pipelines for audio, video and images at scale 🔹 Lake: AWS data lake on S3, Athena, Glue, Hudi and Lake Formation, at TB to PB scale 🔹 Validate: feed GPU-based validation without starving compute (sharding, manifests, I/O) 🔹 Deliver: delivery-ready datasets, orchestrated with Airflow What you need: • 4+ years in data engineering, owning pipelines end to end in production • Hands-on work with large audio/video pipelines (format conversion, chunking, metadata) • Strong Python and SQL, and production AWS experience • Hudi or Delta Lake, and Airflow • An understanding of how data formats (WebDataset, Parquet, TFRecord) affect GPU throughput Bonus: Ray, SLURM or AWS Batch, Hugging Face datasets, rclone, data lineage tools You'll work directly with the Head of Data and get real ownership from day one. 📩 Interested? DM me, or comment "interested" and I'll reach out. Referrals are welcome too. #hiring #dataengineering #bangalorejobs #AI #robotics #AWS #dataengineer #startupjobs

An exciting opportunity for professionals passionate about quantitative analytics, fraud risk modelling, and machine learning. The role offers an opportunity to work on complex fraud risk challenges, develop analytical solutions, and translate data-driven insights into meaningful business outcomes. Key areas of focus: - Fraud risk modelling and machine learning - Python, SQL, feature engineering, and large-scale data analysis - Statistical modelling, anomaly detection, and fraud pattern identification - Model performance monitoring, validation, and governance - Collaboration with business and technology stakeholders We are looking for professionals with strong quantitative and analytical skills, hands-on experience in data science or machine learning, and a passion for solving real-world business problems. 📍 Location: Bengaluru, India Interested candidates can explore the role and apply through the link below or share your resume to me. 🔗 https://lnkd.in/gGW3C2iT Feel free to share this opportunity with relevant people in your network. #Hiring #FraudRisk #QuantitativeAnalytics #MachineLearning #DataScience #Bengaluru #wellsfargo

At NOVA ASI, we are building Artificial Super Intelligence (ASI) from India, for the world. Real intelligence that can reason, remember, and act. We're looking for a talented Data Engineer to join our core tech team. 🏢 Company: NOVA ASI 💼 Role: Data Engineer 💰 Package: 10 LPA 📍 Locations: Chennai | Bangalore | Coimbatore | Hyderabad | Mysore [Remote / Hybrid] 🔧 What You'll Build: - Large-scale data pipelines for Foundation Model training - Synthetic data & multimodal dataset systems (text, video, code, audio) - Data engine for GPU superclusters ✅ Requirements: - 2+ years experience in Data Engineering - Strong in Python, SQL, Spark / Ray, S3, ETL, Parquet - Experience with ML / LLM datasets is a plus - Fast learner, builder mindset 💡 Why Join NOVA ASI? - Work on cutting edge ASI not regular IT work - Grow with a rocketship AI startup - Direct mentorship, no bureaucracy 📩 Send Your Resume To: 📱 WhatsApp: +91 9360860017 📧 Email: manojkumarbm.nova@gmail.co Know someone perfect for this? Tag them below 👇 #NOVAASI #Hiring #DataEngineer #10LPA #ChennaiJobs #BangaloreJobs #CoimbatoreJobs #HyderabadJobs #MysoreJobs #AICareers #MachineLearning #DataEngineering #StartupJobs #TechHiring #NOVAASI #DataEngineer #DataEngineering #DataEngineers #HiringDataEngineer #WeAreHiring #HiringNow #JoinUs #TechHiring #AICareers #DataPipeline #ETL #DataLake #DataWarehouse #BigData #ApacheSpark #Kafka #Python #SQL #Pandas #Parquet #PostgreSQL #DataOps #CloudData #Azure #AWS #ArtificialIntelligence #ASI #AGI #MachineLearning #FoundationModels #LLM #GenerativeAI #AIJobs #StartupIndia #DeepTech #ChennaiJobs #BangaloreJobs #BengaluruJobs #CoimbatoreJobs #HyderabadJobs #MysoreJobs #JobsInChennai #JobsInBangalore #RemoteJobs #HybridJobs #FresherJobs #10LPA

We are looking for an experienced Data Platform Production Support Engineer to support and maintain an enterprise data platform, ensuring reliable data pipelines, accurate reporting, and timely incident resolution. Key Responsibilities: • Provide L1/L2 production support for data platforms and pipelines. • Monitor pipeline health, investigate failures, and resolve incidents within defined SLAs. • Troubleshoot data pipeline failures and dashboard/data issues across source, ingestion, transformation, warehouse, and BI layers. • Perform Root Cause Analysis (RCA) and recommend preventive measures for recurring issues. • Support automated failure detection, ServiceNow incident management, and incident tracking. • Validate data quality, transformations, dependencies, and upstream/downstream impacts. • Maintain runbooks, knowledge articles, and operational documentation. • Identify opportunities to improve monitoring, alerting, automation, and operational efficiency. • Collaborate with Data Engineering, Analytics Engineering, Platform, Security, Business teams, and vendors. Required Skills: • 3+ years of experience in Data Engineering, Data Platform Operations, or Production Support. • Strong SQL skills for data investigation and validation. • Solid understanding of data pipelines, ETL/ELT processes, and end-to-end data flow. • Hands-on experience with Snowflake or similar cloud data warehouses. • Experience in production troubleshooting, RCA, incident management, SLA compliance, and escalation processes. • Ability to identify upstream/downstream dependencies and communicate effectively with stakeholders. • Comfortable supporting distributed teams across IST and North American time zones. Preferred Skills: • Experience with Fivetran, dbt Cloud, Sigma, or Atlan. • Familiarity with ServiceNow, Splunk, and monitoring/observability tools. • Python or scripting skills for support automation. • Knowledge of CI/CD, Git/GitHub, data quality, monitoring, and alerting. • Experience supporting enterprise cloud data platforms and integrations. Ideal Candidate: A proactive problem-solver with strong analytical skills, excellent communication, and the ability to work in a high-volume production support environment. Interested candidates can apply or share their profiles. Location: Remote (contract) Please send your resume with current and expected CTC on parsavtek@gmail.com / hello@parsavtek.com #Hiring #DataEngineering #ProductionSupport #Snowflake #SQL #DataPlatform #ETL #ELT #RCA #TechJobs #Remote