Data Engineering Manager

  • New York, NY
  • Posted 28 days ago | Updated 4 hours ago

Overview

On Site
USD 152,859.00 per year
Full Time

Skills

Data Engineering
Analytical Skill
Collaboration
Service Delivery
Feasibility Study
Computer Science
Information Systems
Software Engineering
IT Consulting
Cloud Computing
Amazon Web Services
Data Quality
High Availability
Business Intelligence
Data Warehouse
Databricks
Teradata
Apache Kafka
Capacity Management
Process Reengineering
Agile
Functional Requirements
Offshoring
Management
Apache Spark
Python
SQL Tuning
Query Optimization
Extract
Transform
Load
Workflow Management
Data Profiling
Data Migration
Extraction
Master Data Management
Mobile Device Management
Innovation
Finance
AIM
SAP BASIS
Law
Employment Authorization
Legal
LOS
Recruiting

Job Details

Data Engineering Manager (Accenture LLP; New York, NY): Accenture LLP has multiple openings for the position of Data Engineering Manager in New York, NY, and the job duties are as follows:

  • Direct, manage, and oversee a team of data warehousing professional employees in the U.S., including Associate Managers, Systems Analysts, and Senior ETL Developers.
  • Assign work and work schedules, and monitor the completion of teams' core duties, responsibilities, assignments, and projects.
  • Exercise exclusive control and authority over approving work product of team members.
  • Exercise full discretionary authority over planning, staffing, execution of project, and oversight.
  • Direct coordination and consultation with internal senior management on project risks, concerns, and financials.
  • Build analytical systems from ground up, which includes providing architectural directions, translating business issues into specific requirements to develop analytic solutions, and identifying appropriate data to support solutions.
  • Work across Service Delivery Lifecycle on engineering major/minor enhancements, and/or ongoing maintenance of existing applications.
  • Conduct feasibility study, capacity planning, and process redesign/re-engineering of complex integration solutions.

BASIC QUALIFICATIONS:

Must have a bachelor's degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, or a related field, plus 5 years of progressive post-baccalaureate experience in the IT consulting industry.

Must have 3 years of experience in each of the following:
  • Managing, designing, and developing large scale Extract Transform and Load (ETL) and Data Warehousing solutions across multiple data sources;
  • Architecting data solution for curating on-premises data in Cloud environments in AWS;
  • Defining master data management Data Quality rules;
  • Supporting high availability Business Intelligence and Data Warehousing environments involving Databricks, Teradata Vantage, and message brokers including Kafka or Google Pub/Sub;
  • Capacity planning, process redesign, and re-engineering of complex integration solution; and
  • Using Agile delivery methodologies to translate business and functional requirements into technical designs.

Must have 2 years of experience in each of the following:
  • Working with offshore teams and managing deliveries in a distributed environment;
  • Spark based development using Python;
  • Structure Query Language (SQL) Performance Tuning and Query Optimization by Indexing, Partitioning, and Denormalization; and
  • Extract Transform & Load (ETL) Workflow management in performing Data Profiling, Data Migration, Extraction, and Transformation using master data management (MDM).

Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.

To apply, please click the 'APPLY' button.

Pursuant to the New York Transparency Bill, the offered wage for this role is $152,859.00 per year.

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