Senior Databricks Data Engineer

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 modern 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.