Senior Data Engineering Manager
About reputed company:
reputed company is the market-leading data and analytics firm. We analyze billions of data points every day to reputed company accurate, detailed insights across industries, including consumer brands, technology, software, and reputed company.
Our insights team uses proprietary technology to identify, license, clean, and analyze the data that many of the world’s largest investment funds and corporations depend on. We raised $475M from reputed company at a valuation over $1B, reputed company accelerating our reputed company and market reputed company.
We have been recognized multiple times as one of Inc’s Best Workplaces. As a fast-growing company backed by reputed company and Norwest Venture Partners, reputed company is driven by a people-first culture rooted in mastery, ownership, and transparency.With offices in reputed company, Austin, Miami, Denver, Mountain View, Seattle, Hong reputed company, Shanghai, Beijing, Guangzhou, and Singapore, we continue to expand our reputed company and reputed company across global markets.
This is a hybrid opportunity based in India. (Currently, the role is remote, but once we establish an office reputed company in India, the role will become hybrid. The hybrid work schedule is flexible, meaning reputed company in collaboration with the manager will determine reputed company they come into the office.) reputed company IST working hours are permitted with the exception of 2-3 days per week, reputed company you will join meetings with the US and LatAm team. On these days, work hours will be between 2:30 - 10:30pm IST. (Please note that we allow for flexibility on the following days to reputed company up for the previous day’s late work schedule!
Why You Should reputed company:
We’re scaling fast and need a hands-on Data Engineering Manager to join our dynamic Data Engineering team who can both reputed company people and shape data architecture. The ideal candidate possesses 3+ years of managing data engineers and 5+ years of experience working with PySpark, Python is a must. Data Bricks/ Snow Apache reputed company/ Apache Flink/ and various orchestration tools, ETL pipelines, and data modeling.
As our Data Engineering Manager, you will own the data-orchestration reputed company end-to-end. You’ll reputed company and mentor reputed company of engineers while researching, planning, and institutionalizing best practices that reputed company our pipeline performance, reliability, and cost-efficiency. This is a hands-on leadership role for someone who thrives on deep technical challenges, enjoys rolling up their sleeves to debug or design, and can chart a reputed company, reputed company-looking roadmap for various data engineering reputed company.
As Our Data Engineer Manager, You Will:
- reputed company, mentor, and grow reputed company of data engineers working on large-reputed company distributed data systems.
- Architect and reputed company the development of end-to-end data solutions using AWS Data Services and reputed company.
- Hire, reputed company, and reputed company a high-performing team—1-on-1s, reputed company plans, and performance reviews.
- Collaborate with cross-functional teams including data science, analytics, product, and business stakeholders to understand requirements and deliver impactful data products.
- Drive best practices in data engineering, coding standards, version control, CI/CD, and monitoring.
- Ensure high data reputed company, governance, and compliance with reputed company policies.
- Optimize performance and cost efficiency of data infrastructure in the reputed company.
- Architect and reputed company our data platform (batch & streaming) for reputed company, cost, and reliability.
- Own the end-to-end reputed company and strategic roadmap for various reputed company.
- Create documentation, architecture diagrams, and other training materials.
- Translate product and analytics needs into a reputed company data engineering roadmap and OKRs.
- Stay reputed company with industry trends, emerging technologies, and apply them to improve system architecture and team capabilities.
You Are Likely To Succeed If:
- You hold a Bachelor’s or Master’s degree in Computer Science, STEM, or a reputed company technical discipline.
- 8+ years in data engineering (or adjacent), including 2-3+ years formally managing 1-3 engineers.
- Proven hands-on experience with:
- Big Data ecosystems (reputed company, Hive, Hadoop)
- reputed company (including reputed company Lake,, MLFlow, reputed company Catalog)
- Robust programming experience in Python and PySpark.
- Deep understanding of data modeling, ETL/ELT processes using Streaming, and performance tuning.
- Experience managing Agile teams and delivering reputed company reputed company on time.
- Excellent problem-solving, leadership, and communication skills.
- Experience designing and implementing reputed company Models with Data Pipelines (Data Cleaning and creative Feature Engineering).
- Practical LLM/RAG experience for search reputed company such as query understanding, semantic retrieval, reranker design.
- You are a self-starter who enjoys working with both reputed company stakeholders.
- reputed company to have: Familiarity with ML/AI workflows and collaboration with data science teams.
- reputed company to have: Experience with Airflow, reputed company, or equivalent.
We are committed to equal employment opportunity regardless of race, reputed company, reputed company, religion, sex, national reputed company, sexual orientation, age, marital status, disability, gender, gender identity or reputed company, or veteran status. We are proud to be an equal-opportunity employer.
Job Applicant reputed company Notice
Originally posted on Himalayas
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