Aws Data Engineer

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Role : AWS Data Engineer with Snowflake,Spark and Medallion Architecture

Location : Banashankari 2nd Stage Bengaluru ( All 5 Days Onsite)

Duration : FTE with NAM INFO

About NAM

NAM Info is an IT application and implementation services entity having its US HQ in Cranbury, New Jersy and Development centers HQ in Bangalore in India. NAMs distinctive service line offerings include Professional Services, Managed Services – re-engineering, modernization largely involving emerging technology.

NAM is also home to a next-generation Data Intelligence Platform that enables enterprises to automate and accelerate their journey from data to insights. Our platform simplifies and unifies data engineering, governance, and analytics—empowering organizations to achieve end-to-end data intelligence at scale. As we expand our product capabilities, we are seeking a Data Product Tester to help ensure that the Inferyx platform delivers world-class performance, accuracy, and reliability.

About the Role

As a data engineer you will be responsible for building and maintaining data pipelines and systems to collect, store, and process data for analysis. Key responsibilities include designing infrastructure, building analytical tools, ensuring data quality and security, and collaborating with data scientists and analysts to make data ready for use.

Job Description:

Key Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using AWS services and Snowflake.
• Build scalable and efficient data architectures to support analytics, reporting, and data science use cases.
• Perform data modeling (conceptual, logical, and physical) to optimize Snowflake warehouse performance.
• Implement best practices for data ingestion, transformation, and storage.
• Collaborate with business analysts, data scientists, and stakeholders to understand data requirements.
• Monitor, optimize, and troubleshoot Snowflake performance, query tuning, and cost optimization.
• Ensure data quality, governance, and security in line with enterprise standards.
• Automate workflows using orchestration tools (e.g., Airflow, AWS Step Functions, or Glue workflows).
• Stay current with emerging cloud data technologies and recommend improvements.

Required Skills & Qualifications

• Bachelor's or Master's degree in computer science, Information Systems, or related field.
• 3–5 years of relevant experience in data engineering with a focus on cloud platforms.
• Strong hands-on expertise in Snowflake (schema design, data sharing, clustering, query optimization).
• Proficiency in AWS services such as S3, Glue, Redshift, Lambda, Kinesis, Step Functions, and IAM.
• Solid understanding of data modeling techniques (3NF, Star Schema, Snowflake Schema, Data Vault).
• Strong experience with SQL and at least one programming language (Python/Scala/Java).
• Experience with ETL/ELT tools (dbt, Informatica, Talend, or equivalent).
• Knowledge of data security, governance, and compliance best practices.
• Familiarity with CI/CD, version control (Git), and DevOps practices for data engineering.

Preferred Qualifications:

• Overall Experience: 7 – 8 years, recent 5 years as Senior DE.
• Strong hands-on UNIX/Shell scripting experience not just basic commands but comfort working directly on servers, SSHing into clusters, handling file operations, and executing CLI-based workflows.
• Deep expertise in AWS data services (S3, Glue, Lambda, EC2) integrated with Snowflake or Databricks for data lake development.
• Solid ETL/ELT design background with Python, PySpark, and SQL for transformation and pipeline orchestration.
• Familiarity with version control (GitHub) and automation tools like Jenkins or AWS-native CI/CD pipelines.
• Preferably exposure to Kafka, Airflow, and data governance practices.

What We Offer

• Opportunity to work on cutting-edge Data Intelligence Platform redefining enterprise analytics.
• Dynamic and collaborative work culture at Inferyx's Pune office.
• Competitive salary and performance-based growth opportunities.
• Exposure to the complete data ecosystem—from ingestion to analytics to AI-driven insights.
• A chance to directly influence the evolution of a high-impact enterprise data product.

Why NAM

At NAM, you'll be part of a global, innovation-driven organization that operates at the intersection of Data, Cloud, and Automation.

What makes NAM different:

• Enterprise Data Expertise – Work on AWS-based Data Lake and Lakehouse projects that use the latest frameworks like Glue, Spark, and Iceberg.
• Advanced Cloud DevOps – Manage complex, high-volume production data environments and drive continuous improvement in reliability and automation.
• Cutting-Edge Innovation – Be part of NAM's Inferyx platform development, helping clients accelerate their data-to-insights transformation.
• Collaborative, Global Culture – Partner with cross-functional teams and clients across geographies in a dynamic, learning-focused environment.
• Career Growth – Gain hands-on experience in DataOps, CloudOps, and DevSecOps, with opportunities for AWS and Kubernetes certifications and leadership development.

Manjunath

Staffing Manager

NAM Info Pvt Ltd,

29/2B-01, 1st Floor, K.R. Road,

Banashankari 2nd Stage, Bangalore

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Linkedin : (99+) M.S.Manju nath | LinkedIn

Website: WWW.NAM-IT.COM

USA | CANADA | INDIA

MBE Certified Company , E Verify Company