Job Role: Senior Data Engineer – Databricks

Location: Hyderabad

Experience: 5+ Years

No of Positions: 10+

Joining: Immediate Joiners Preferred – Maximum joining by 1st October

? Interview Drive

Shortlisted Candidates Only

? Interview Date: 19th September

⏰ Interview Timing: 9:30 AM – 3:00 PM

? Anblicks Hyderabad Office, Knowledge City, Raidurg

About the Role

Anblicks is looking for a Senior Data Engineer – Databricks with strong hands-on experience in Databricks, Python, PySpark, SQL, and cloud data platforms.

Key Responsibilities

Data Engineering & Architecture

- Design and develop scalable data pipelines using Databricks, PySpark, Python, SQL, and Delta Lake.
- Build and optimize ETL/ELT pipelines for structured and semi-structured data.
- Develop modern Lakehouse and data warehouse solutions.
- Apply best practices in data modelling, partitioning, optimization, and performance tuning.

Cloud & Platform

- Work with Databricks on Azure for large-scale distributed data processing.
- Build secure, scalable, and governed cloud data solutions.
- Work with cloud services such as Azure Data Factory, Synapse, or Azure Functions.

Collaboration & Technical Leadership

- Collaborate with architects, business teams, and client stakeholders to translate requirements into scalable solutions.
- Implement data quality, governance, lineage, and security best practices.
- Conduct code reviews, contribute to technical standards, and mentor junior engineers.




- Prepare technical designs and solution documentation.

? Key Skills Databricks, Python, PySpark, SQL, Cloud Exposure

Good to Have:

Java, Scala, Delta Lake, Data Modelling, Azure Data Factory, Azure Synapse, Unity Catalog, Microsoft Fabric, CDC, Medallion Architecture

Required Experience

- 6+ years of experience in Data Engineering.
- 4+ years of hands-on Databricks experience, including PySpark and Delta Lake.
- Strong programming experience in Python.
- Strong SQL skills with experience in analytical workloads.
- Experience working with cloud-based data platforms, preferably Azure.
- Good understanding of data warehousing, data modelling, ETL/ELT, and distributed processing.
- Understanding of data governance, security, RBAC, and metadata management.

⭐ Why Join Anblicks?
- Work on large-scale Data, AI & Cloud transformation projects with global customers.
- Opportunity to work with a modern technology ecosystem including Databricks, Snowflake, Azure, AWS, and Microsoft Fabric.
- Collaborate with experienced data and technology professionals.
- Exposure to complex enterprise data challenges and up-to-date architectures.
- Strong opportunities for technical learning, innovation, and career growth.
- Join a Great Place To Work® Certified™ organization.

Immediate joiners and candidates who can join by 1st October are preferred.

Shortlisted candidates only for the 19th September interview drive.

📌 Senior Databricks Data Engineer (Hyderabad)
🏢 Anblicks
📍 Hyderabad