Overview
On Site
$120000 - $120000 yr
Contract - Independent
Contract - W2
Skills
ELT
Amazon Web Services
Databricks
PySpark
Scala
Scripting
RDBMS
Flat File
Streaming
Apache Kafka
Amazon Kinesis
Debugging
IaaS
Terraform
ProVision
Amazon S3
Amazon Redshift
Encryption
Data Security
Continuous Integration
Continuous Delivery
Workflow
Data Validation
Extract
Transform
Load
Data-flow Diagrams
Collaboration
Reporting
Analytics
Machine Learning (ML)
Functional Requirements
Agile
UPS
Sprint
Microsoft Power BI
Tableau
Dashboard
Storage
Microsoft Azure
Data Lake
Data Governance
Meta-data Management
Ad Hoc Reporting
Performance Tuning
Root Cause Analysis
DevOps
Scalability
Management
Regulatory Compliance
High Availability
Insurance
Law
Communication
Messaging
Elasticsearch
Sourcing
Artificial Intelligence
Decision-making
Purchasing
Job Details
Salary: $120k - $120k/Year
Responsibilities:
Pay Transparency: The typical base pay for this role across the U.S. is: $120k - $120k/ year. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible for benefits including medical, dental, and vision benefits, health savings account option for qualified medical plan enrollments, accrual of up to 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, travel reimbursement, accommodations for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement as required by state or local law.
Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded.
Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying STOP to messages or by contacting
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our
#AditiConsulting
#25-23351
Responsibilities:
- Design, develop, and maintain ETL/ELT workflows using AWS Glue, Azure Data Factory, and Databricks.
- Write and optimize PySpark/Scala scripts for large-scale data transformations and cleansing.
- Automate data ingestion from RDBMS, APIs, flat files, or streaming sources (Kafka, Kinesis).
- Monitor and troubleshoot data pipeline performance, debugging failed jobs and optimizing runtime and cost.
- Manage and deploy cloud infrastructure via Terraform, CloudFormation, or Azure DevOps pipelines.
- Provision and maintain S3 buckets, Redshift clusters, Azure Data Lake Storage, and related services.
- Configure IAM roles, security groups, and encryption to ensure compliance and data protection.
- Participate in CI/CD workflows, performing code reviews and automating build and deployment processes.
- Implement and monitor data validation rules, quality checks, and error handling within ETL processes.
- Document data flow diagrams, schema changes, and transformation logic for internal teams.
- Collaborate with Data Scientists and Analysts to support reporting, analytics, and ML pipelines.
- Partner with Business Analysts to translate functional requirements into technical solutions.
- Participate in Agile ceremonies (stand-ups, sprint planning, retrospectives) and track deliverables.
- Develop Power BI, Tableau, or QuickSight dashboards for business and operational insights.
- Analyze and optimize pipeline logs, storage usage, and compute costs in CloudWatch/Azure Monitor.
- Experiment with modern data lake frameworks such as Delta Lake, Iceberg, or Lake Formation.
- Enforce data governance, naming conventions, and metadata standards across environments.
- Support ad hoc queries, performance tuning, and root-cause analysis for data-related issues.
- Implement DevOps best practices for reliability, scalability, and automated infrastructure management.
- Ensure all data solutions adhere to security, compliance, and high-availability standards.
Pay Transparency: The typical base pay for this role across the U.S. is: $120k - $120k/ year. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible for benefits including medical, dental, and vision benefits, health savings account option for qualified medical plan enrollments, accrual of up to 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, travel reimbursement, accommodations for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement as required by state or local law.
Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded.
Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying STOP to messages or by contacting
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our
#AditiConsulting
#25-23351
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.