jobs in the wild.

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

We’d rather make you build the thing it sits on. We’re hiring a Data Engineer in Bengaluru (Bellandur) to build the data platform GoodScore runs on: the pipelines, the warehouse, and the quality checks that make sure everyone trusts the numbers. Our data comes from product databases, credit bureau feeds, partner APIs, and live event streams, and you’ll work with Engineering, Product, Risk, Analytics, and AI/ML. If this sounds like you: You’ve run data pipelines in production for 2 to 5 years SQL and Python are how you think, not just how you report You’ve used an orchestrator like Airflow or Dagster You know a cloud warehouse like Databricks, BigQuery, or Redshift We want people who take that ownership seriously. Office is 5 days a week in Bellandur.  DM me if you’d like to talk first. #DataEngineering #Hiring #BengaluruJobs #DataJobs

I don't post these often, so when I do, it means the role genuinely matters to me and my team. Here's what makes this one special: you'd be joining a truly global team spread across 7 international locations, working on a genuinely global scope ,cutting across Amazon's business in every country we operate in, around the world. I'm looking for a Senior BIE who gets excited about turning messy, ambiguous data into decisions people actually act on, and who's energized by where data, science, and AI are heading right now. If you like building the foundations that make smarter data analytics and better decisions possible, read on. A bit about what you'd do: 1. Partner closely with product, ops, and business teams spread across the globe to frame the right questions, not just answer the ones handed to you 2. Own data models and reporting end-to-end — from raw source in Redshift to insights in QuickSight that leaders actually trust 3. Build and automate with Python across our AWS stack 4. Help shape how we bring AI and science into the way we work with data 5. Mentor other engineers and raise the bar on our craft What I'm hoping you bring: 1. Strong SQL and solid data modeling / warehousing experience (Redshift a big plus) 2. Hands-on Python and comfort across AWS services 3. Genuine curiosity about AI and applying science to real business problems 4. Comfort with large, imperfect datasets and the judgment to know what "good enough" looks like 5. A clear, honest communication style - you can explain a finding to an engineer and to a VP in the same week What the role can promise in return: real problems at genuine scale, a truly global canvas, a team that respects the craft, and a manager who'll back you. 📍 Based in Bangalore, part of a global team across 7 locations worldwide. If this sounds like you - or someone you rate - I'd genuinely love to talk. Comment, DM me, or apply here: https://lnkd.in/eihGV2kK Please share with anyone who might be a fit. 🙏 #Hiring #BusinessIntelligence #BIE #DataAnalytics #AWS #Redshift #QuickSight #Python #AI #Bangalore #WWOS

My team at Cisco is growing, and we're hiring! We're part of Product Operations Central, where we turn process and business insights into faster hardware launches and a healthier product portfolio. This team works hand in hand with Global Supply Chain functions, and the impact shows up in products our customers rely on every day. Three roles are open on my team: 🔹 Program Manager, Data Analytics and Process Improvement (San Jose): Turn data into action and make hardware launches smoother. https://lnkd.in/gZmSCwVw 🔹 Business Process Manager (Austin, RTP, San Jose): Own and improve the end-to-end processes behind hardware launches. https://lnkd.in/gFKKQnuF 🔹 Sr. Data Engineer (Bangalore, India): Build the data foundations that power launch and portfolio decisions. https://lnkd.in/gdGJgwfe Do you know someone who drives process improvement through quantitative analysis and is passionate about solving NPI and supply chain challenges? Please reach out or share this post. Apply through the links above or message me directly. 🙌 #Cisco #Hiring #ProductOperations #NPI #SupplyChain #DataAnalytics #ProcessImprovement

ATOSS Software SE is investing heavily in Data and AI, and our AI Center of Excellence is only as good as the data underneath it. So we’re building that foundation, and I want you to help us design it. The mission: shape the lakehouse strategy for ASES. You’ve: - Led at least one end-to-end migration from legacy data systems to a lakehouse. - Gone hands-on with Databricks, Spark, Delta Lake and Kafka - Got excellent communication skills, because you’ll be working with stakeholders across Bangalore, Munich and Timișoara You’ll get: - A seat at the table where the data and AI strategy gets decided - A fast-growing hub and a company with 19 years of record growth Know someone who’d love this? Share this job posting or message me directly. #Hiring #DataEngineering #Databricks #Lakehouse #GenAI #ATOSS #Bangalore

We’re hiring: 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗜𝗻𝘁𝗲𝗿𝗻 📊 At Karta, we’re building voice AI for enterprise fintech, and every day our platform generates a lot of data: calls, conversations, product usage, business metrics. We’re looking for an Analyst Intern to work with data team to get us insights. What you’ll do:  • Crunch call and product data to find patterns that improve our voice agents  • Build dashboards and reports the team actually uses  • Work directly with the founders on business and finance metrics You’ll fit in if you:  • Are comfortable with SQL, Excel/Sheets, and ideally Python  • Love asking “why?” and digging until the numbers answer  • Want real ownership at an early-stage startup 📍 Bengaluru #Hiring #Internship #DataAnalytics #Startups #VoiceAI #Bengaluru