Big Data Engineer

Amiseq; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Amiseq in Bengaluru is seeking a Data Engineer to design and maintain scalable data pipelines using Hadoop, Hive, Spark, and SQL. You will implement ETL development and ensure data quality in a hybrid work setting.

The role emphasizes real-time and batch processing, collaboration with analytics teams, and strong problem-solving in large-scale environments.

Qualifications

• Develop and maintain scalable data pipelines and ETL solutions.
• Process large-scale data using Hadoop, Hive, Spark, and SQL.
• Build and optimize batch and real-time data processing workflows.
• Ensure data quality, performance, and reliability.
• Collaborate with cross-functional teams to support analytics and business requirements.

Responsibilities

• Develop and maintain scalable data pipelines and ETL solutions.
• Process large-scale data using Hadoop, Hive, Spark, and SQL.
• Build and optimize batch and real-time data processing workflows.
• Ensure data quality, performance, and reliability.
• Collaborate with cross-functional teams to support analytics and business requirements.

Skills

Big Data Technologies

Hadoop/HDFS/Hive

Spark / Spark SQL

SQL

ETL Development

Real-Time Processing

Batch Processing

Tools

Ab Initio

Job description

Data Engineer – Big Data

Experience: 4–5 Years
Location: Bengaluru
Work Model: Hybrid

Key Skills:

• Big Data Technologies
• Hadoop, HDFS, Hive
• Spark / Spark SQL
• SQL
• ETL Development (Ab Initio preferred)
• Real-Time & Batch Data Processing

Roles and Responsibilities

Responsibilities:

• Develop and maintain scalable data pipelines and ETL solutions.
• Process large-scale data using Hadoop, Hive, Spark, and SQL.
• Build and optimize batch and real-time data processing workflows.
• Ensure data quality, performance, and reliability.
• Collaborate with cross-functional teams to support analytics and business requirements.

Preferred:

• Hands-on experience with Ab Initio.
• Strong problem-solving skills and experience in large-scale data environments.