Need 10+ Data Engineer - Only Locals Boston MA / Nashville TN

[Mohan Sai Ram Gurram]

Need Only Locals Boston MA / Nashville TN

 We are currently prioritizing GC candidates who can work directly (no third-party employers).  

Job Title: Data Engineer

Location: Hybrid- Foxboro- Andover-Boston (limited seating).. Nashville TN will work but prefers mass locations 3 DAYS ONSITE lOCALS ONLY

Duration: 3-5 Months

Interview process: 1-round

Start Date: ASAP

 

Top skills:

Python

AWS Glue

Cloud Technologies

Data Movement

 

Roles & Responsibilities

• Optimize Amazon Redshift performance (distribution keys, sort keys, query tuning) and support Athena optimization.
• Build and operate ETL/ELT pipelines with AWS Glue; orchestrate workflows with Airflow.
• Manage semantic layers and metadata to enable trustworthy analytics and AI.
• Apply best practices for partitioning, compression, and columnar storage.
• Monitor and troubleshoot data workflows for high availability and reliability; automate observability and reporting.
• Automate data processes using Python, SQL, and AWS‑native tools.
• Enforce data security and governance (Lake Formation, IAM), including row/column‑level controls and least‑privilege access.
• Support monitoring, auditing, and compliance using CloudWatch, CloudTrail, and related services.
• Continuously improve architecture by adopting relevant AWS best practices and emerging patterns.
• Collaborate with Operations, Data Governance, and PMO to meet standards and delivery goals.

 

 

Qualifications

• Bachelor’s in Computer Science/IT or equivalent experience in data management, integration, or data warehousing.
• Hands‑on with AWS: S3, KMS, Lambda, Glue/Spark, SQS, EventBridge, Step Functions.
• Strong AWS networking fundamentals: VPC, subnets, routing, NAT gateways, security groups.
• Expertise with Redshift concurrency scaling and Athena tuning.
• IAM proficiency: roles, policies, assume‑role, cross‑account access.
• Advanced SQL (joins, window functions, aggregations) with distributed engines (Redshift/Athena).
• Experience writing and maintaining Terraform.
• Solid understanding of Spark architecture, execution plans, and performance tuning.
• Familiarity with serverless and event‑driven pipelines.
• NoSQL experience (DynamoDB, MongoDB).
• Strong communication, ability to juggle priorities in a fast‑paced environment, and a collaborative, data‑driven mindset.