Description
Senior Data Engineer
Team: Engineering
Location: Pune, India
Commitment: Full-time (Salary)
Workplace Type: hybrid
Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 46 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email [email protected].
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.
Pattern values data and the engineering required to take full advantage of it. As a Data Engineer at Pattern, you will be working on business problems that have a huge impact on how the company maintains our competitive edge.
Roles and Responsibilities
- Develop, deploy, and support automated, scalable real-time and batch data streams from a variety of sources into the lakehouse.
- Develop and implement data auditing strategies and processes to ensure data quality; identify and resolve problems associated with large scale data processing workflows; implement technical solutions to maintain data pipeline processes and troubleshoot failures
- Collaborate with technology teams and partners to specify data requirements and provide access to data
- Tune application and query performance using profiling tools and SQL or other relevant query language
- Translate business and analytics requirements for data to a comprehensive data model and pipelines
- Foster data expertise and own data quality for assigned areas of ownership
- Work with data infrastructure to triage issues and drive to resolution
Required Qualifications
- Bachelor’s Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience
- Overall experience should be more than 7 + years
- 3+ years of experience working with SQL and Python
- 3+ years of experience in implementing data pipelines using modern data architectures
- 2+ years of experience working with data warehouses such as Redshift, BigQuery, Snowflake, or similar
- Experience with open-source based data architectures: Spark, Hive, Trino / Presto or similar
- Excellent software engineering and scripting knowledge
- Strong communication skills (both in presentation and comprehension) along with the aptitude for cross-collaboration across data management and analytics domains
- Expertise with data systems working with massive data volumes from various data sources
- Ability to lead a team of Data Engineers
Preferred Qualifications
- Experience working with time series databases
- Advanced knowledge of SQL, including the ability to write stored procedures, triggers, analytic/windowing functions, and tuning
- Advanced knowledge of Snowflake, including the ability to write and orchestrate streams and tasks
- Background in Big Data, non-relational databases, Machine Learning and Data Mining is a plus
- Experience with cloud-based technologies including SNS, SQS, SES, S3, Lambda, and Glue
- Experience with modern data platforms like Redshift, Cassandra, DynamoDB, Apache Airflow, Spark, or ElasticSearch
- Expertise in Data Quality and Data Governance
Pattern is a leading eCommerce data and growth company located in the Silicon Slopes tech hub, with global offices in Europe, China, India, Australia, the Middle East, and Canada. Named one of the fastest-growing companies in the US by Inc. 500, Pattern is trusted by world-class consumer brands like Skullcandy, Nestlé, Clorox, Kong, Panasonic, and TUMI. Our edge is found in the data, and our people bring it to life. We’re a team of doers, data fanatics, and game changers—partner-obsessed and always pushing the limits. Think you’ve got the hustle and a touch of nerd? Pattern is the place for you.
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 452 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got over 200,000 jobs from 15,000+ vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 15,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say