Required Skills

- At least 3 years of hands-on experience with PySpark, Python, Spark, and Scala, including data validation, data quality, and data delivery practices.

- At least 3 years of Snowflake and/or Databricks Cloud Data Warehouse implementation experience.

- Experience working with structured, semi-structured, and unstructured data formats including XML, JSON, Avro, and Parquet.

- Strong experience developing ETL/ELT solutions across multiple enterprise data sources.

- Solid understanding of modern data engineering and cloud data platform concepts.

- Experience working with modern schedulers and orchestration tools such as Airflow, Matillion, or similar platforms.

- Experience working with distributed data processing technologies including Hadoop, Spark, Kafka, and streaming frameworks.

- Experience supporting business intelligence, reporting, and analytics solutions using Power BI, Tableau, or similar visualization platforms.

- Good working knowledge of AWS technologies including EC2, S3, Lambda, SQS, and SNS.

- Strong programming experience using SQL and PL/SQL, including packages, stored procedures, views, materialized views, triggers, and indexing strategies.





- Strong understanding of Data Warehousing concepts including Fact and Dimension modeling, Star Schemas, and data loading methodologies.

- Hands-on experience implementing Big Data processing solutions using Python and Spark.

- Experience with CI/CD and DevOps practices using Jenkins, Terraform, Docker, AWS, Git, and Kubernetes.

- Experience applying AI-assisted development tools and AI-Driven Development Lifecycle (AI-DLC) practices to improve development productivity and solution delivery.

- Familiarity with Generative AI tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, or equivalent AI-assisted engineering platforms.

- Ability to leverage AI for code generation, test automation, documentation creation, troubleshooting, and engineering process optimization.

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

- Excellent communication, collaboration, and stakeholder management skills.

- Experience in the Pharma, Healthcare, Diagnostics, or Life Sciences industry is a plus.Role & responsibilities

Preferred candidate profile

Perks and benefits

📌 Data Engineer (Bengaluru)
🏢 Mindpool Technologies
📍 Bengaluru