Need MA Locals-Only USC/GC/H4 EAD-Data Engineer-Hybrid

[Manohar Reddy Surathani]

Hi There,
 
Greetings for the day!
 
We have Urgent Opening for Data Engineer with one of our clients. Please go through the details below and respond with your resume.

Job Title  :Data Engineer
Location: Hybrid- Foxboro- Andover-Boston,MA (limited seating).. Nashville will work but prefers mass locations 3 DAYS ONSITE lOCALS ONLY
Duration : Long Term Contract


Top skills:
Python
AWS Glue
Cloud Technologies
Data Movement
 
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.


Thanks & Regards
Manohar Reddy
Email: man...@aptivacorp.com 
Web: https://www.aptivacorp.com
LinkedIn: linkedin.com/in/s-m-reddy-71561237