Data & Analytics Engineer / Senior Data & Analytics Engineer

9NEXUS Limited; Bengaluru; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

9NEXUS Limited in Bengaluru seeks Data & Analytics Engineers to design scalable data pipelines using Databricks and PySpark for robust, reliable data assets.

The role emphasizes Delta Lake, Lakehouse architecture, and advanced SQL/Python to empower analytics. Senior engineers mentor teams, review code, and shape solution architecture within an Azure data environment.

Qualifications

• Hands-on experience with Databricks, PySpark, Delta Lake, and Azure data services.

Responsibilities

• Design and develop scalable ETL/ELT data pipelines using Databricks and PySpark.
• Build and optimize Delta Lake/Lakehouse solutions.
• Perform Spark and SQL performance optimization.
• Implement data quality, CDC and governance solutions.
• Work with Azure data services including ADLS Gen2 and ADF.
• Support production issues and ensure reliable data pipelines.
• Collaborate with architects, business stakeholders and engineering teams.
• Senior candidates will also contribute to solution architecture, code reviews and technical mentoring.

Skills

Databricks

PySpark

Delta Lake

Azure ADLS Gen2, ADF, Key Vault

Advanced SQL & Python

Lakehouse Architecture

ETL/ELT & Dimensional Modelling

Data Quality, Validation & CDC

Unity Catalog / Data Governance

Tools

Databricks Workflows

Spark Structured Streaming

CI/CD

Git

Power BI

Superset

PostgreSQL

Databricks certification

Job description

We are looking for Data & Analytics Engineers / Senior Data & Analytics Engineers with strong hands-on experience in Databricks, PySpark, Delta Lake, Azure, Advanced SQL and Python.

Must-Have Skills

• Databricks
• PySpark
• Delta Lake
• Azure ADLS Gen2, ADF, Key Vault
• Advanced SQL & Python
• Lakehouse Architecture
• ETL/ELT & Dimensional Modelling
• Data Quality, Validation & CDC
• Unity Catalog / Data Governance

Key Responsibilities

• Design and develop scalable ETL/ELT data pipelines using Databricks and PySpark.
• Build and optimize Delta Lake/Lakehouse solutions.
• Perform Spark and SQL performance optimization.
• Implement data quality, CDC and governance solutions.
• Work with Azure data services including ADLS Gen2 and ADF.
• Support production issues and ensure reliable data pipelines.
• Collaborate with architects, business stakeholders and engineering teams.
• Senior candidates will also contribute to solution architecture, code reviews and technical mentoring.

Good to Have

DLT, Databricks Workflows, Spark Structured Streaming, CI/CD, Git, DataOps, Power BI/Superset, PostgreSQL, FinOps and Databricks certification.