Kritsnam Technologies - Data Engineer - R/SQL/Python

Data Engineer Individual Contributor (IC).

Kritsnam Technologies Hyderabad On-site (AWS-centric).

Own the entire AWS data platform that powers Kritsnams industrial-water intelligence.

Beyond ultrasonic-meter telemetry, youll integrate data from manufacturing (ERP/MES), field-service operations, supply-chain, and finance systemscreating a single, trusted source of truth.

You are the sole data-engineering owner, with Step Functions as your orchestration backbone and AWS native services everywhere else.

- Design Step Functions (or MWAA) to process IoT telemetry, ERP/MES, CRM exports, and financial data..

Must-have :

- AWS IoT Core (MQTT), AWS Glue Jobs / Workflows for ERP/CSV, AWS AppFlow or custom Lambda for SaaS (Salesforce, Service Now).

Nice-to-have : Amazon Kinesis Data Streams.

Orchestration :

Must-have : AWS Step Functions, Event Bridge, CloudWatch Alarms, SNS.

Nice-to-have : Amazon MWAA (Managed Airflow).

Must-have : AWS Glue (Python/Spark), dbt in Code Build.

Nice-to-have : Glue Studio, Glue Streaming.

Quality & Governance :

Must-have : Glue Data Quality, Deequ, Lake Formation.

Nice-to-have : AWS DataZone.

Serving / Warehouse :

Must-have : Aurora Postgres (with pgvector).

Nice-to-have : Amazon Redshift Serverless.

Vector / LLM :

Must-have : pgvector, OpenSearch Serverless vector search.

Nice-to-have : Amazon Bedrock embeddings.

Must-have : AWS CDK / CloudFormation, CodePipeline + CodeBuild, ECR, Linux/Bash.

Nice-to-have : Systems Manager, CodeDeploy (blue/green).

Must-have : CloudWatch Logs & Dashboards, X-Ray, AWS Cost Explorer.

Nice-to-have : QuickSight SPICE ops dashboards.

No Kafka/Hadoop architecture sized for ~1 GB/day telemetry plus structured business data.

Youll thrive here if you :

- Have 58 years building production data stacks exclusively on AWS.

- Turn scattered ERP/CRM/IoT feeds into contract-driven, test-gated pipelines.

- Love designing Step Functions and Glue workflows with bullet-proof error handling.

- Optimize Aurora & Redshift queries and manage storage costs via S3 tiering.

- Communicate trade-offs (e.g., AppFlow vs. custom ETL) to tech & business leaders.

- Enjoy being a team-of-one who owns prioritization, delivery, and ops.

Bonus points :

- Migrated cron or Bash scripts into Step Functions or MWAA.

- Implemented vector search (pgvector/OpenSearch) for RAG use-cases.

- Integrated SAP, Oracle, or MES systems with AWS Glue.

- Deep IoT fleet-management knowledge (Device Shadow, Defender, OTA).

- AWS Certified Machine Learning Specialty is a must.