Job Title: Big Data Engineer
Location: Bangalore, Karnataka
Experience: Entry Level to Senior
Employment: Full-Time / Contract
Work Model: On-site / Hybrid / Remote, depending on the employer
Salary: Open for the right candidates based on skills and experience
Industry: IT, Data & Technology
About the Role
Explore Big Data Engineer Jobs in Bangalore for freshers, experienced data professionals, and senior engineers. Big Data Engineers build and maintain data platforms that collect, process, transform, and deliver large volumes of structured and unstructured data.
The role can involve data pipelines, distributed processing, cloud data platforms, databases, data lakes, and real-time data processing.
Key Responsibilities
- Design and develop scalable data pipelines.
- Build ETL and ELT workflows for large datasets.
- Process structured and unstructured data.
- Work with batch and real-time data processing systems.
- Develop data ingestion and transformation solutions.
- Monitor data pipelines and troubleshoot failures.
- Optimize data processing jobs and queries.
- Work with data scientists, analysts, software engineers, and business teams.
- Maintain data quality and pipeline documentation.
- Support cloud-based data platforms and production data workloads.
Skills Required
Depending on the position, employers may look for experience with:
- Python, Java, or Scala
- Apache Spark
- Hadoop
- Hive
- Kafka
- SQL
- ETL / ELT
- Data Warehousing
- Data Lakes
- Apache Airflow
- Databricks
- AWS, Microsoft Azure, or Google Cloud
- Git
- Docker and Kubernetes
Not every position requires all of these technologies. Requirements vary by organization and data platform.
Entry-Level Big Data Engineer Jobs
Freshers and junior candidates can explore opportunities involving data processing, SQL, ETL development, data pipeline support, and cloud data technologies.
A strong foundation in Python or Java, SQL, databases, data structures, and basic data engineering concepts can be useful for entry-level roles.
Hands-on projects using Spark, Kafka, cloud platforms, or data warehouses can also help demonstrate practical skills.
Experienced Big Data Engineer Jobs
Experienced engineers may design and maintain production data pipelines, distributed processing systems, and cloud-based data platforms.
Responsibilities can include:
- Developing scalable ETL and ELT pipelines.
- Working with Spark and distributed data processing.
- Building data ingestion solutions.
- Optimizing data processing performance.
- Managing data quality and pipeline reliability.
- Working with cloud storage and data warehouse services.
- Supporting real-time data processing with technologies such as Kafka.
Senior Big Data Engineer Roles
Senior Big Data Engineers may take ownership of data architecture, pipeline design, performance, and technical standards.
Responsibilities may include:
- Designing scalable data engineering solutions.
- Developing large-scale batch and streaming pipelines.
- Reviewing data architecture and engineering practices.
- Optimizing distributed processing workloads.
- Designing data lake and data warehouse solutions.
- Guiding junior and mid-level data engineers.
- Working with data science and analytics teams.
- Supporting cloud migration and data platform modernization.
Big Data Technologies
Big Data Engineers may work across several areas of the modern data stack:
Programming: Python, Java, Scala
Processing: Apache Spark, Hadoop, Hive
Streaming: Apache Kafka
Orchestration: Apache Airflow
Cloud: AWS, Azure, Google Cloud
Data Platforms: Databricks, Snowflake, BigQuery, Redshift, Azure Data Factory
Databases: PostgreSQL, MySQL, SQL Server, MongoDB
The technology stack depends on the employer and project.
Qualifications
A degree or diploma in Computer Science, Information Technology, Data Engineering, Engineering, or a related field may be preferred.
Relevant professional experience, internships, data engineering projects, cloud knowledge, and practical programming skills may also be considered.
Apply for Big Data Engineer Jobs in Bangalore
If you are looking for Big Data Engineer Jobs in Bangalore, explore opportunities based on your experience with data pipelines, distributed processing, cloud platforms, databases, and big data technologies.
Salary is open for the right candidates and will depend on technical skills, experience, and the specific position.
Apply for Big Data Engineer opportunities in Bangalore and explore your next data engineering career opportunity.
Big data processing, Hadoop, Spark, Kafka, Scala, Python, SQL, ETL pipelines, data warehousing, cloud platforms, data modeling, performance tuning, real-time analytics.