Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills : Python (Programming Language) Positive to have skills : PostgreSQL Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 10 years full time education Role Overview: The Data Platform Engineer owns the design, build, and evolution of the firm s cloud-native data platform. This role focuses on ingestion, transformation, orchestration, metadata, and data quality across AWS and Snowflake.

Core Responsibilities

Build and maintain data ingestion pipelines from internal and external sources into AWS S3 (Raw & Standard zones) Develop and operate Airflow DAGs on EKS for ingestion, transformation, notifications, and data quality Implement and maintain dbt models for Snowflake transformations Manage Snowflake integrations, including external stages (S3) and workplace separation (Prod / Non-Prod) Own data quality frameworks, checks, and orchestration metadata (stored in RDS)



Integrate with AWS Glue / Data Catalog (SaaS) for metadata, lineage, and discovery with Atlan Ensure data reliability, scalability, and cost efficiency across the platform Partner with analytics and downstream consumers (BI tools, reporting, Cognos/Tableau) Required Skills: Solid experience with cloud data platforms on AWS Hands-on experience with Airflow, dbt, and Snowflake Proficiency in SQL and Python Experience working with S3-based data lakes (raw/curated patterns) Familiarity with metadata management, data catalogs, and data governance concepts Containers Skills Must Haves: AWS Services (IAM, S3, SNS, SQS, API Gateway, Lambda, DynamoDB, EKS) Airflow, SQL and Python CI/CD systems (GitHub, Azure DevOps, Octopus) Linux and scripting skills (Bash, Python, Powershell) Nice To Have(s): dbt, and Snowflake Pyspark and knowledge of Glue Catalog, IAM cross-account access, and secure data sharing Experience implementing data quality frameworks (custom or open-source) Exposure to hybrid / on-prem integrations (e.g., file drops, legacy ETL) Experience with hybrid architectures (on-prem + cloud)

📌 Custom Software Engineer Bengaluru (India)
🏢 Accenture in India
📍 India