As a Senior Data Engineer in the Engineering team:

Join us in:

- Building and optimizing data architectures to handle large-scale data from various sources, including cloud and on-premise systems.

- Architecting scalable ETL and data workflows to support advanced analytics and machine learning models.

- Collaborating with cross-functional teams to deliver end-to-end data solutions that drive business insights.

- Owning and leading projects that focus on data platform modernization, ensuring high performance, security, and scalability.

- Working on complex data engineering challenges that push the boundaries of cloud data infrastructure.

You'll have:

- A Bachelors or Master’s degree in Computer Science, Engineering, or a related technical field.

- 5+ years of experience designing and implementing large-scale data platforms, with at least 2 years of experience leading or mentoring data engineers.

- Hands-on experience with Python (Pandas, Polars) and modern big data tools such as Databricks (Spark), Flink, or Kafka.





- Strong understanding of data pipeline development, ETL frameworks, and data lakes/warehouses.

- Extensive experience with cloud data platforms such as AWS (S3, Redshift, Lambda, Glue), GCP (BigQuery, Dataflow, Dataproc), or Snowflake.

- Familiarity with workflow orchestration tools like Airflow or Prefect.

- Proven ability to lead data engineering teams and mentor junior engineers.

It would be great if you have:

- Experience working with IoT or real-time streaming data.

- Knowledge of data governance frameworks and best practices.

- Exposure to MLOps workflows and integrating data with machine learning models.

- Experience in the energy or manufacturing sector or familiarity with time-series data.

- A robust understanding of data warehousing concepts, including Kimball model design.

- A deep understanding of data security and compliance requirements, particularly in cloud environments.

📌 Senior Data Engineer (Bengaluru)
🏢 Acesoft Labs
📍 Bengaluru