Data Engineer

Lorven Technologies Inc.; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Lorven Technologies Inc. in Bengaluru (Nagavara area) seeks a Data Engineer with strong Python expertise to design, build, and optimize scalable data pipelines and architectures. You will collaborate with data scientists, analysts, and business teams to ensure reliable data availability and quality.

Primary skills include Spark, Python, Databricks, and cloud platforms (AWS/Azure; GCP). The role involves developing ETL/ELT workflows and deploying pipelines on Airflow in a multi-cloud environment.

Qualifications

• Proficient in Python and SQL; strong ETL experience.
• Hands-on experience with Spark and Hadoop ecosystem.
• Knowledge of data warehousing concepts and REST APIs.

Responsibilities

• Design, develop, and maintain robust data pipelines using Python.
• Build scalable ETL/ELT workflows.
• Work with large datasets using Pandas, PySpark, or Dask; integrate data from multiple sources.

Skills

Python

SQL

ETL

Spark

APIs (REST)

Data structures & algorithms

Tools

Databricks

AWS

Azure

GCP

Airflow

Job description

Location: Work from Client location 2-3 days a week (Nagavara, Bengaluru (near Manyata Tech Park)

Note: (F2F 01-Aug-26)

Data Engineer with strong Python expertise to design, build, and optimize scalable data pipelines and architectures. The ideal candidate will work closely with data scientists, analysts, and business teams to ensure reliable data availability and quality

Primary Skills: Spark, Python, Databricks, AWS/Azure

Key Responsibilit

• Design, develop, and maintain robust data pipelines using Python
• Build scalable ETL/ELT workflows
• Work with large datasets using Pandas, PySpark, or Dask
• Integrate data from multiple sources
• Optimize data storage and retrieval
• Ensure data quality and validation standards
• Collaborate with cross-functional teams
• Deploy and monitor pipelines using Airflow
• Work on cloud platforms like AWS, Azure, or GCP

Required Skills & Qualifications

• Strong proficiency in Python
• Experience with SQL and relational databases
• Hands-on ETL experi
• Familiarity with Spark or Haencedoop
• Knowledge of data warehousing
• Experience with RESTAPIs
• Understanding of data structures and algorithms