Data Engineer-8

Realign LLC
New York, US
On-site

Job Description

New York, New York 10001 Posted April 9th, 2026

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Job Type: Full Time

Job Category: IT

Job Description

Role: Data Engineer

Location - New York, NY Onsite

Experience – 10 To 15 years .

Fulltime Permanent FTE

Job Description

Must Have Technical/Functional Skills

  • Hands-on experience in building ETL using Databricks SaaS infrastructure.
  • Experience in developing data pipeline solutions to ingest and exploit new and existing data
  • sources.
  • Expertise in leveraging SQL, programming language like Python and ETL tools like
  • Databricks
  • Perform code reviews to ensure requirements, optimal execution patterns and adherence to
  • established standards.
  • Expertise in AWS Compute (EC2, EMR), AWS Storage (S3, EBS), AWS Databases (RDS,
  • DynamoDB), AWS Data Integration (Glue).
  • Advanced understanding of Container Orchestration services including Docker and
  • Kubernetes, and a variety of AWS tools and services.
  • Good understanding of AWS Identify and Access management, AWS Networking and AWS
  • Monitoring tools.
  • Proficiency in CI/CD and deployment automation using GITLAB pipeline.
  • Proficiency in Cloud infrastructure provisioning tools e.g., Terraform.
  • Proficiency in one or more programming languages e.g., Python, Scala.
  • Experience in Starburst, Trino and building SQL queries in federated architecture.
  • Good knowledge of Lake house architecture.
  • Design, develop, and optimize scalable ETL/ELT pipelines using Databricks and Apache
  • Spark (PySpark and Scala).
  • Build data ingestion workflows from various sources (structured, semi-structured,

· Develop reusable components and frameworks for efficient data processing. ·

· Implement best practices for data quality, validation, and governance. ·

· Collaborate with data architects, analysts, and business stakeholders to understand data requirements. ·

· Tune Spark jobs for performance and scalability in a cloud-based environment. ·

· Maintain robust data lake or Lakehouse architecture. ·

· Ensure high availability, security, and integrity of data pipelines and platforms. ·

  • Support troubleshooting, debugging, and performance optimization in production workloads.

Roles & Responsibilities

  • Work on migrating applications from an on-premises location to the cloud service providers.
  • Develop products and services on the latest technologies through contributions in
  • Development, enhancements, testing and implementation.
  • Develop, modify, extend code for building cloud infrastructure, and automate using CI/CD
  • pipeline.
  • Partners with business and peers in the pursuit of solutions that achieve business goals
  • through an agile software development methodology.
  • Perform problem analysis, data analysis, reporting, and communication.
  • Work with peers across the system to define and implement best practices and standards.
  • Assess applications and help determine the appropriate application infrastructure patterns.
  • Use the best practices and knowledge of internal or external drivers to improve products or services.

Required Skills

DEVOPS ENGINEER

Skills & Requirements

Technical Skills

Databricks SaaS infrastructureSQLPythonETL toolsDatabricksAWS Compute (EC2, EMR)AWS Storage (S3, EBS)AWS Databases (RDS, DynamoDB)AWS Data Integration (Glue)Container Orchestration servicesDockerKubernetesAWS Identity and Access managementAWS NetworkingAWS Monitoring toolsCI/CDGITLAB pipelineTerraformScalaStarburstTrinoLake house architectureETL/ELT pipelinesApache Spark (PySpark and Scala)Data ingestion workflowsData qualityData validationData governanceData lake architectureCloud infrastructure provisioningDevelopmentenhancementstestingimplementationagile software development methodologyproblem analysisdata analysisreportingcommunicationapplication infrastructure patternsleadershipcollaborationcommunicationtroubleshootingdebuggingperformance optimizationclouddata engineeringETLdata pipelinesdata architecturedata governancecloud infrastructureDevOps

Employment Type

FULL TIME

Level

mid

Posted

4/8/2026

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