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Regional hiringpublishedExternal employer
ZA
Zorba AIArtificial Intelligence

Data Engineer

Databricks, ETL, Spark

Location

Bengaluru, Karnataka, India

Work type

Onsite

Employment

Full Time

Experience

7-12 years

Compensation

₹15L - ₹22L per year

Posted

2d ago

Summary and responsibilities

Role overview

Summary

Design, develop, and optimize ETL/ELT pipelines using Databricks and Apache Spark. Develop scalable data processing solutions using Python and SQL. Work with structured and unstructured data from multiple data sources.

We are looking for a skilled Databricks Developer/Data Engineer with strong hands-on experience in Databricks, SQL, Python, ETL, and Apache Spark. The candidate should have expertise in building scalable data pipelines, handling large datasets, and ensuring data quality and reliability across enterprise data platforms.

Key Responsibilities

  • Design, develop, and optimize ETL/ELT pipelines using Databricks and Apache Spark.

  • Develop scalable data processing solutions using Python and SQL.

  • Work with structured and unstructured data from multiple data sources.

  • Build and maintain analytical data stores/data lakes on Databricks.

  • Ensure data quality, reliability, governance, and performance optimization.

  • Collaborate with cross-functional teams including Data Analysts, Architects, and Business stakeholders.

  • Perform data validation, troubleshooting, and performance tuning.

  • Work with RDBMS systems and cloud-based data platforms.

Required Skills

  • Strong hands-on experience in Databricks

  • Strong coding skills in Python and SQL

  • Experience in Apache Spark / PySpark

  • Strong understanding of ETL/ELT concepts

  • Experience with RDBMS databases

  • Experience with Analytical Data Stores/Data Warehousing

  • Knowledge of data quality, reliability, and monitoring

  • Good understanding of data engineering best practices

Good to Have

  • Azure/AWS/GCP cloud exposure

  • Experience with ADF, Synapse, Snowflake, or Delta Lake

  • CI/CD and DevOps knowledge

  • Airflow or orchestration tools experience

Updated 2d ago

Candidate fit

Skills and qualifications

Additional skills

Databricks • 1+ yrs
SQL • 1+ yrs
Python • 1+ yrs
ETL • 1+ yrs
Apache Spark • 1+ yrs
PySpark • 1+ yrs
Data Pipelines • 1+ yrs
Large Datasets • 1+ yrs
Data Quality • 1+ yrs
Data Reliability • 1+ yrs
RDBMS • 1+ yrs
Cloud-based data platforms • 1+ yrs
Analytical Data Stores • 1+ yrs
Data Warehousing • 1+ yrs
Data Governance • 1+ yrs
Performance Optimization • 1+ yrs
Data Validation • 1+ yrs
Troubleshooting • 1+ yrs
Performance Tuning • 1+ yrs
Data Engineering Best Practices • 1+ yrs
Azure • 1+ yrs
AWS • 1+ yrs
GCP • 1+ yrs
ADF • 1+ yrs
Synapse • 1+ yrs
Snowflake • 1+ yrs
Delta Lake • 1+ yrs
CI/CD • 1+ yrs
DevOps • 1+ yrs
Airflow • 1+ yrs
Orchestration • 1+ yrs

Experience

7-12 years

How this role is positioned

Role classification

Job domains

IT & System Administration
Data Science & Analytics
Software Engineering

Industries

Technology & IT

Employment

Full Time

Contract duration

Permanent

Hiring type

Direct

Global hiring

Location specific

Offer details

Compensation and benefits

Compensation

₹15L - ₹22L per year

VisibilityShared on listing
CurrencyINR
PeriodYearly

Location, schedule, and role shape

Work setup

Work conditions

Primary locationBengaluru, Karnataka, India
Work typeOnsite
Global hiringNo

Bandwidth profile

peopleMedium6/10
physicalLow1/10
cognitiveHigh8/10
executionHigh8/10
creativityMedium6/10
uncertaintyMedium5/10
communicationMedium6/10

Context on the employer

Company snapshot

Company

Zorba AI

Team size

Growing team

Location

Bengaluru, Karnataka, India

We are looking for a skilled Databricks Developer/Data Engineer with strong hands-on experience in Databricks, SQL, Python, ETL, and Apache Spark. The candidate should have expertise in building scalable data pipelines, handling large datasets, and ensuring data quality and reliability across enterprise data platforms.

Data Engineer

Bengaluru, Karnataka, IndiaFull Time