Senior Snaplogic Developer
Diverse Lynx India · KA
Strong hiring record · median 5 days open
All reasons
In its favour
- Posted today
- Still listed on the employer's own board
Integration design and development
- Design and build reusable, parameterised SnapLogic pipelines, tasks and sub-pipelines for batch, incremental (CDC/delta) and API-driven loads.
- Ingest from varied sources (RDBMS, SaaS/REST/SOAP APIs, flat files/SFTP, S3, Kafka) into Snowflake.
Capture and persist load metadata
batch IDs, timestamps, record counts, source system and lineage tags.
- Build the Pre-MDM Silver to Reltio pipelines (entity payload mapping, crosswalks, and batch and bulk loads via Reltio APIs).
Implement the Reltio-to-Snowflake return path
Export API historical loads and incremental event consumption (SQS, Lambda, Snowpipe).
Orchestration and automation
- Integrate SnapLogic triggers (Triggered/Scheduled Tasks, Ultra Tasks) with Airflow/MWAA DAGs, handling dependencies, retries, SLAs and alerts.
- Coordinate with dbt jobs and Soda DQ checks so that pipeline sequencing is correct end to end.
Performance, reliability and operations
- Tune pipelines for volume and latency (pagination, bulk Snowflake loads, parallelism, Snaplex sizing).
- Build error handling, reprocessing, dead-letter and reconciliation patterns, and monitor with the SnapLogic Dashboard and alerts.
- Manage Snaplex nodes (Groundplex/Cloudplex), upgrades, and capacity planning.
- Provide L2/L3 support and root-cause analysis for production incidents.
Governance, security and quality
Apply data security, governance and privacy controls
secrets and credentials management, encryption, masking of PII, least-privilege access and audit trails.
- Maintain lineage and audit metadata for the data catalogue.
- Work with Soda to make sure data quality failures are captured, flagged and routed to exception handling.
Leadership and delivery
- Lead and mentor SnapLogic developers and review designs, code and pipeline standards.
- Convert mapping specifications and the Data Model Agent's modelling artifacts into integration designs.
- Review and validate artifacts produced by the Data.ai agents (Data Engineering and Test Case agents).
- Own estimates, sprint planning, release management and documentation.
- Engage stakeholders from the business, MDM, data engineering and consumer teams.
DevOps and CI/CD
- Manage SnapLogic assets with SLDB/Git, promotion across Dev, QA and Prod, and automated deployment through Jenkins, Azure DevOps or GitHub Actions.
- Enforce naming standards, reusable patterns and a pipeline template library.
Skills
- SOAP
- SFTP
- S3
- Kafka
- Snowflake
- AWS SQS
- AWS Lambda
- Snowpipe
- Airflow
- dbt
- Git
- Jenkins
- Azure DevOps
- GitHub Actions
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