Data Engineer

Lorven Technologies; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Lorven Technologies in Bengaluru is seeking a Data Engineer with 8+ years of experience to design and optimize scalable data pipelines. You will collaborate with data scientists, analysts, and business teams to ensure reliable data availability and quality.

The role requires strong Python skills, ETL experience, and hands-on work with Spark, Databricks, and cloud platforms (AWS/Azure/GCP). Immediate to 15 days notice, Bangalore-based with client-site days 2-3 per week.

Qualifications

• Strong Python expertise to design, build, and optimize scalable data pipelines.
• Experience with SQL and relational databases for data storage and querying.
• Hands-on ETL experience with data integration and quality checks.
• Familiarity with Spark and Hadoop ecosystems.

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
• 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

Skills

Python

Spark

Databricks

AWS

Azure

SQL

REST APIs

Hadoop

Job description

Role: Data Engineer

Exp: 8 to 15 Yr

Notice Period: Immediate to 15 days

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

Note: (F2F 01-Aug-26)

Job description

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 & Qualificat"ions

• 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