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bilvantis

DataBricks – Technical Lead (Exp: 8 Yrs to 12 Yrs)

Hyderabad · Staff/Principal

Good timing - competition is buildingVerified listingPosted 14d ago

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Skills required

14 listed

Azure Data FactoryCI/CDAWS GlueRelational DatabasesDatabricksPysparkSQL (Programming Language)Microsoft Azure+6 more

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Job description

Job Description: DataBricks – Technical Lead (Exp: 8 Yrs to 12 Yrs)

We are seeking a talented and motivated DataBricks expert to join our team as a Technical Lead.

Required Skills & Qualifications:

8 to 12 years of IT experience, with 3+ years focused on big data and Databricks.
Strong hands-on experience with Databricks, PySpark, and Spark SQL.
Experience with modern cloud data lakes (Azure ADLS, AWS S3).
Hands-on experience with Azure Data Factory (ADF) or AWS Glue for orchestration.
Strong experience with relational databases and SQL.
Strong background in Agile delivery, CI/CD pipelines, and version control (Git).
Experience with Delta Lake, Unity Catalog, and the medallion architecture.
Experience with streaming data (Structured Streaming, Kafka, Event Hubs).
Experience with Infrastructure-as-Code (Terraform).
Experience in agile development processes using Jira and Confluence.
Design scalable data engineering solutions and lead their delivery on Databricks.
Understanding of the SDLC and Agile methodologies.
Communication with the customer and producing the daily status report.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Databricks Certified Data Engineer Professional certification.
Microsoft Certified: Fabric Data Engineer Associate (DP-700) or AWS Certified Data Engineer - Associate.
Should have good oral and written communication.
Should be able to lead and mentor a team.
Should be proactive and adaptive.

Key Responsibilities:

Design scalable, high-performance data pipelines and Lakehouse workflows using Databricks and PySpark / Spark SQL.
Build complex ETL/ELT pipelines on cloud platforms such as Azure or AWS.
Guide development teams, perform code reviews, and enforce engineering best practices.
Mentor engineers on Databricks, Spark, and data engineering design patterns.
Work with product owners, business analysts, and architects to translate requirements into technical solutions.
Monitor production workloads, fine-tune ETL/ELT performance, and ensure data reliability.

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in

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

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.

Join WhatsApp Join Telegram

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.