Data Engineer Lead
Bengaluru · Staff/Principal
Applicants who checked fit first are 3.1× more likely to hear back
Your score for this role already exists
ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.
Always free · no credit card · 1 tap with Google
What we know about this role
LOW
Our tracked job listings for hctz-cx1 show limited recent activity.
First 72 hours
Window passed - posted 218d agoEarly applicants get seen before the pile builds.
Not a repost
The first time we've seen this listing - it hasn't been closed and reopened.
Skills required
9 listedYou almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.
Job description
Job Summary:
As a Lead Data Engineer, you will play a crucial role in designing, building, and optimizing cloud-based data pipelines and platforms that support enterprise analytics, AI/ML, and business intelligence initiatives.
#L1-LK1
Job Responsibilities
Cloud Data Engineering: Develop and maintain scalable, high-performance data pipelines and workflows on cloud platforms such as Snowflake and Databricks.
- Data Modeling & Transformation: Implement dimensional, canonical, and data vault models using tools like dbt and ER modeling platforms to support analytics and reporting.
- Platform Development: Support the development and optimization of enterprise-scale data lakes and data warehouses (100+ TB) for global business operations.
- Data Quality & Governance: Collaborate with data governance teams to implement metadata management, data quality checks, and master data integration.
- Cross-Functional Collaboration: Work closely with data architects, product managers, and agile teams to deliver robust data solutions aligned with enterprise standards.
- Automation & Orchestration: Build and maintain automated ELT/ETL pipelines using tools like Airflow, Fivetran, dbt, and Python, to ensure reliability and efficiency.
#L1-LK1
Experience: 7+ years in data engineering or related roles with hands-on experience in cloud data platforms.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
- Technical Skills: Strong SQL and Python skills for data transformation and automation. Experience with Snowflake, Databricks, or similar cloud data platforms. Familiarity with orchestration tools (Airflow, dbt, etc.) and data modeling tools (ERWin, E/R Studio). Understanding of data preparation for AI/ML use cases and BI reporting. Exposure to DevOps and agile development practices.
- Leadership & Delivery: Demonstrated ability to lead small teams or mentor junior engineers. Strong problem-solving skills and a proactive mindset. Ability to manage multiple priorities and deliver high-quality results on time.
#L1-LK1
Tools to land this role
PremiumYour match score, skill map and tracker stay free.
Ground Reality
PremiumSpot the dealbreakers in this 287-word post before you apply
Skip jobs with hidden dealbreakers. See what they actually need, what's easy to miss, and how they describe the team.
Ground Reality on every job, plus Insider Path, practice interviews and resume tailoring.
Insider Path
PremiumFind someone who can refer you here
We help you find people there who worked or studied where you did, and draft your first message and follow-up.
Free · no signup
Get tomorrow's jobs before you have to search
Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.
No spam. Just jobs and resources.
Why people use ASAI
Someone shared one job with you. ASAI keeps finding the rest.
Scored, not searched. Every role ranked against your actual profile.
Alerts as often as hourly. Reach new roles while the pile is still small.
Skill gaps, spelled out. See exactly which requirements you don't meet yet.
Verified jobs, only. Say no to ghost jobs. Your time deserves respect.
More Data Engineer roles in Bengaluru
See all
Keep browsing