Team Lead - Data Engineer (Python, PySpark ,SQL)
Mopid is hiring a Lead Data Engineer to design and implement scalable, fault-tolerant distributed data pipelines. The role involves managing a team, interfacing with clients, and developing enterprise-grade data applications using Python, PySpark, and the Hadoop ecosystem. Candidates must have extensive experience in data modeling, warehousing, and large-scale processing. This position requires both strong technical leadership and hands-on coding capabilities.
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Experience
10-17 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Mopid is hiring a Lead Data Engineer to design and implement scalable, fault-tolerant distributed data pipelines. The role involves managing a team, interfacing with clients, and developing enterprise-grade data applications using Python, PySpark, and the Hadoop ecosystem. Candidates must have extensive experience in data modeling, warehousing, and large-scale processing. This position requires both strong technical leadership and hands-on coding capabilities.
TAL's take
Solid senior technical leadership role with clear engineering responsibilities, despite the unfamiliar company.
Very clear scope regarding big data engineering, technical leadership, and specific stack requirements.
Must haves
- 10-17 years of relevant experience
- Python proficiency
- Strong hands-on experience in PySpark and SQL
- Hands-on knowledge in Hadoop ecosystem, MapReduce, HBase, and Elasticsearch
- Experience in development of enterprise-scale data applications
Tools and skills
Nice to have: agile.
About the company
unfamiliar company, default mid-tier