Aws Data Engineer & Etl Expert Hyderabad

Aws Data Engineer & Etl Expert Hyderabad

30 Jul
|
Important Company of the Sector
|
Hyderabad

30 Jul

Important Company of the Sector

Hyderabad

We are looking for part time Freelancer for AWS Data Engineer Position.

Releavant Exp : 9+

Mandatory Tech Stack required:

Source: Salesforce (ECRM & OSC)
Backup: Grax
Cloud: AWS (EC2, S3, CloudWatch, DynamoDB, RDS, Secrets Manager, ALB, ASG)
Infrastructure as Code: Terraform
File Format: Parquet
Target: Enterprise Data Lake (EDL)
Schema: Blue Schema
Database: Blue Database
Query Language: SQL

JD :
Build and maintain AWS data pipelines
Develop ETL/ELT pipelines using AWS Glue, PySpark, Python, and SQL.
Ingest data from sources like Salesforce, databases, APIs, and S3.
Load curated data into Amazon Redshift and data lake storage.
Optimize Athena and data lake performance
Convert JSON/CSV data into Parquet.
Use Snappy compression.
Design proper partitioning strategies.
Resolve split limit and performance issues.
Optimize Athena query costs.
Manage up-to-date data lake architecture
Work with Apache Iceberg tables.
Perform migrations from traditional Parquet tables.
Support schema evolution, time travel, and ACID transactions.
Production support and troubleshooting
Investigate Glue jobs that suddenly become slow.
Debug Lambda timeouts.
Fix missing records and data quality issues.




Resolve Redshift performance problems.
Perform root cause analysis (RCA).
Infrastructure as Code
Build AWS infrastructure using Terraform.
Create reusable modules.
Manage Auto Scaling Groups, ALBs, IAM, Lambda, Secrets Manager, S3, Redshift, and DynamoDB.
Troubleshoot Terraform state and production deployment issues.
Security
Manage AWS Secrets Manager.
Configure Lambda-based secret rotation.
Ensure Terraform does not overwrite rotated passwords.
Implement IAM least-privilege access.
Backup and Disaster Recovery
Work with enterprise backup tools like Rubrik (their setting may use Grax for Salesforce).
Validate backup jobs.
Perform restores.
Support disaster recovery testing.
Verify restored data.
Data Quality
Validate source and target record counts.
Maintain audit/control tables (for example in DynamoDB).
Check checksums and duplicate records.
Troubleshoot data discrepancies reported by business users.
AWS Services
S3
Glue
Athena
Lambda
Redshift
DynamoDB
EventBridge
Step Functions
CloudWatch
Secrets Manager
IAM
Auto Scaling Groups
Application Load Balancer

📌 Aws Data Engineer & Etl Expert Hyderabad
🏢 Important Company of the Sector
📍 Hyderabad

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