Data Engineer

1 week ago

Bengaluru, Karnataka, India Enter Full time ₹ 6,00,000 - ₹ 12,00,000 per year

Description :

We are looking for a dynamic and energetic Data Engineer who can own end-to-end data engineering and analytics initiatives at Mojro. You will design and implement scalable data pipelines, ensure data quality, and empower teams with actionable insights through BI and visualization tools. This role requires a mix of strong technical skills, curiosity, problem-solving ability, and a passion for working in a fast-paced, high-impact environment.

Responsibilities :

- Design, build, and optimize data pipelines for ingestion, transformation, and storage of structured and unstructured datasets.

- Enable real-time and batch data processing with modern frameworks (Spark, Kafka, Flink, etc.).

- Work with data science and product teams to provide clean, well-structured datasets for modeling and analytics.

- Build and maintain dashboards and reports using tools such as Power BI, Superset, Metabase, or other open-source BI platforms.

- Collaborate with business stakeholders to translate requirements into insightful, interactive visualizations.

- Implement robust ETL/ELT processes, ensuring data governance, quality checks, and lineage tracking.

- Contribute to architecture discussions on data lakes, warehouses, and lakehouse solutions.

- Stay up to date with emerging technologies and bring innovative ideas to continuously improve Mojro's data and analytics capabilities.

Requirements :

- 3-6 years of professional experience as a Data Engineer or in a similar role.

- Strong programming skills in Python, Java.

- Hands-on experience with Big Data frameworks (Apache Spark, Kafka, Hadoop, Flink).

- Solid knowledge of SQL, NoSQL, and data warehouse/lakehouse technologies.

- Experience with BI & amp; analytics tools : Power BI (mandatory), plus familiarity with open-source BI solutions like Apache Superset, Metabase, or Grafana.

- Cloud experience (Azure preferred; AWS/GCP acceptable).

- Understanding of data modeling, ETL design, and performance optimization.

- Exposure to containerized deployments (Docker, Kubernetes) and CI/CD pipelines is a plus.

- Strong problem-solving, analytical, and communication skills.

- Highly energetic, adaptable, and proactive with a growth mindset.

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