Required Skills - Mentioned in table below

Must Have Good to Have Remark # of rounds of interview Option 1 GCP(BQ) Scala Spark SQL Kafka Highest priority to interviews and offers 1 Flocareer + 1 Tredence + 1 Client interview

Option 2 Scala, Spark SQL Any Cloud Kafka 2nd Priority Roles and responsibilities -

Tredence is looking for a Data Engineer to design, build, and scale high-performance data platforms and pipelines. The ideal candidate will have strong expertise in Spark, Scala + GCP cloud, with experience leading engineering teams and delivering enterprise-grade data solutions. Exposure to any cloud platform is a plus.

Key Responsibilities

- Lead the design and development of scalable, fault-tolerant data pipelines and streaming architectures.

- Build and maintain real-time and batch data processing systems using Kafka, Spark, and Scala.

- Architect large-scale data solutions ensuring performance, reliability, and security.

- Collaborate with data scientists, analysts, and business stakeholders to deliver data-driven solutions.

- Mentor and guide junior engineers; drive best practices in coding, design, and deployment.





- Optimize data workflows and improve system efficiency and scalability.

- Implement monitoring, logging, and alerting mechanisms for data platforms.

- Drive adoption of modern data engineering practices (CI/CD, data quality frameworks, etc.).

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Mandatory Skills

Strong hands-on experience with:

o Apache Kafka (streaming, producers/consumers, topic management)

o Apache Spark (batch & streaming)

o Scala (advanced programming expertise)

Solid understanding of data engineering concepts, distributed systems, and big data architectures

Experience working with large-scale data processing and pipeline development.

Excellent comm skills

Solid problem-solving and leadership skills.

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Good to Have (Optional Skills)

Experience with any cloud platform: AWS / Azure / GCP

Knowledge of data lakes, lakehouse architectures (Delta Lake, Iceberg, etc.)

Familiarity with containerization tools (Docker, Kubernetes)

Experience with orchestration tools (Airflow, etc.)

📌 Data engineer + Scala +Spark +SQL +GCP Big query (Bengaluru)
🏢 Tredence Analytics Solutions
📍 Bengaluru