📍Location:
Bangalore
💼Job Type:
Full Time
💰Salary:
₹8,00,000 – ₹15,00,000 per annum (CTC)
🎓Qualification:
B.Tech / BE / MCA in Computer Science / IT / Data Engineering
🕒Experience:
2–5 years
📅Deadline:
2026-05-05
Freshers allowed: No
Preferred experience level: Mid Level
Category: IT / Data Engineering
Posted: 2026-04-02 · Views: 3
Role & Responsibilities
- DataBridge Technologies is seeking a Data Engineer to join their Bangalore office in 2026. The candidate will be responsible for building and managing scalable data pipelines and infrastructure to support data analytics and business intelligence systems.
- Key Responsibilities:
- Design, build, and maintain ETL pipelines for data ingestion and processing.
- Work with structured and unstructured data from multiple sources.
- Develop and optimize SQL queries for data extraction and transformation.
- Implement data solutions using big data tools like Hadoop, Spark, or Kafka.
- Ensure data quality, integrity, and security across systems.
- Collaborate with data analysts and scientists to support analytics needs.
- Monitor data workflows and troubleshoot performance issues.
- Maintain documentation of data architecture and workflows.
Requirements
Strong knowledge of SQL, Python, or Scala.
Experience with ETL tools and data pipeline development.
Familiarity with big data technologies like Hadoop, Spark, Kafka.
Knowledge of cloud platforms (AWS, Azure, or GCP).
Understanding of data warehousing concepts and database design.
Strong analytical and problem-solving skills.
Ability to work in cross-functional teams.
Experience with ETL tools and data pipeline development.
Familiarity with big data technologies like Hadoop, Spark, Kafka.
Knowledge of cloud platforms (AWS, Azure, or GCP).
Understanding of data warehousing concepts and database design.
Strong analytical and problem-solving skills.
Ability to work in cross-functional teams.
Benefits
Health insurance coverage for employees and dependents.
Provident Fund (PF) and retirement benefits.
Performance-based bonuses and incentives.
Free lunch and collaborative work environment.
Opportunities for data engineering certifications and career growth.
Exposure to big data technologies and enterprise-level data systems.
Provident Fund (PF) and retirement benefits.
Performance-based bonuses and incentives.
Free lunch and collaborative work environment.
Opportunities for data engineering certifications and career growth.
Exposure to big data technologies and enterprise-level data systems.
Selection Process
- Aptitude Test
- Tests logical reasoning, analytical thinking, and quantitative ability.
- Duration: 45–60 minutes.
- Technical / Data Engineering Round
- Evaluates knowledge of data pipelines, ETL processes, SQL, and big data tools.
- Candidates may be asked to solve real-world data problems, write queries, or design data architectures.
- Duration: 60–90 minutes.
- HR Interview
- Assesses communication skills, teamwork, and cultural fit.
- Discussion includes experience, career goals, and expectations.