DATA ENGINEERING MANAGER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 4, 2024 - The Data Engineering Manager excels in custom ETL design, implementation, and ongoing maintenance, leveraging advanced data technologies like MapReduce, Google BigQuery, and Apache Spark. Skilled in Python programming, adept at leading and expanding teams, aligning efforts with strategic business priorities, and employing effective communication to translate complex data insights. Combines hands-on schema design expertise with a strong technical understanding of system and database concepts, ensuring optimal handling of D2C ecommerce systems.

Essential Hard and Soft Skills for a Standout Data Engineering Manager Resume
  • ETL Design
  • Data Modeling
  • Python Programming
  • Big Data Technologies
  • Database Management
  • Schema Design
  • Data Warehousing
  • SQL
  • Data Visualization Tools
  • Cloud Platforms
  • Leadership
  • Strategic Planning
  • Effective Communication
  • Problem Solving
  • Team Coordination
  • Stakeholder Management
  • Adaptability
  • Conflict Resolution
  • Time Management
  • Decision Making

Summary of Data Engineering Manager Knowledge and Qualifications on Resume

1. BS in Computer Science with 5 Years of Experience

  • Experience in the data warehouse space.
  • Experience in custom ETL design, implementation, and maintenance.
  • Experience working with data technologies like Map Reduce, Google BigQuery, or Apache Spark.
  • Experience with programming languages, Python 
  • Experience in managing and growing a team and coordinating work based on business priorities.
  • Excellent communication skills including the ability to identify and communicate data-driven insights.
  • Hands-on and deep experience with schema design and dimensional data modeling.
  • Demonstrated communication and interpersonal skills, and ability to work effectively across functions.
  • Ability to deal with occasional off-hours calls effectively and professionally.
  • Experience with D2C ecommerce ordering systems.
  • Technical aptitude and understanding of system and database concepts.

2. BS in Data Science with 8 Years of Experience

  • Experience skilled Windows Server Administrator to Windows server setup, deployment, and maintenance.
  • Experience assessing the stability, security, and scalability of installed Windows systems.
  • Experience strong background in TWS, and ability to manage thousands of jobs.
  • Experience basic understanding of SQL DB's, able to diagnose problems.
  • Ability to create scripts in Windows .bat files, PowerShell, and similar languages.
  • Experience monitoring system performance, alerts and assist in resolving complex issues in system hardware and software
  • Familiarity with modern operating systems and server platforms.
  • Good understanding of SSIS, and good diagnostic skills.
  • Good understanding of ServiceNow as it pertains to TWS, Change Controls, Incidents, and Incident notification.
  • Knowledge of IT Service Management (ITSM) and Change Control process.
  • Understanding of Secure, CyberArk, and administering Service Accounts.

3. BS in Software Engineering with 3 Years of Experience

  • Experience in managing the development of on-prem and transitioning to cloud-based self-service data product solutions
  • A positive & enthusiastic, can-do attitude, with a passion for doing the right thing
  • Excellent understanding and practical experience with complex SQL, data transformation, and 3rd party platforms, such as Tableau, Looker, Power BI, and Data Studio.
  • Extensive experience with large teams based on and off-shore, in a fast-paced, highly demanding environment.
  • A great communicator, both verbal and written, with excellent interpersonal skills with an ability to work with a wide range of people but also an analytical mind with a sharp eye for detail
  • Engineering management experience preferably in data engineering
  • Work experience in data engineering or a related field
  • Experience building data solutions including architectures, data models, and data production systems
  • Experience partnering with data science/product teams on both large, strategic data projects and routine partner work
  • Basic understanding of Active Directory.
  • Basic understanding of DEVOps, GITHUB

4. BS in Information Systems with 7 Years of Experience

  • Experience in data engineering, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
  • Experience leading a Data Engineering Team
  • Experience building and managing data pipelines and repositories in cloud environments such as Google Cloud, Microsoft Azure, or AWS
  • Experience in Airflow
  • Advanced experience extracting/cleansing data and generating insights from large transactional data sets using Spark SQL, SQL, Python, and PySpark on cloud
  • Experience in Apache Spark, Spark Structured Streaming, Spark SQL, etc.
  • Experience with optimizing Spark pipelines on Dataproc, Databricks, or similar technologies.
  • Strong verbal and written communication skills at all levels, ability to communicate complex customer behavior information to both functional partners and executive leadership
  • Strong problem-solving/analytical abilities
  • Demonstrated strength in creating partnerships and building relationships with other functions and associates within the organization
  • Experience leading and presenting proof of values and business to leaders

5. BS in Statistics with 8 Years of Experience

  • Experience in Data Engineering or similar Industry experience.
  • Experience in people management or leadership roles.
  • Experience in the data warehouse space.
  • Experience in custom ETL design, implementation, and maintenance.
  • Experience with object-oriented programming languages.
  • SQL statement skills.
  • Proven experience with schema design and dimensional data modeling.
  • Experience managing and communicating data warehouse plans to internal clients.
  • Experience working with large data sets.
  • Supply chain experience.
  • Knowledge and practical application of Python.

6. BS in Computer Science with 5 Years of Experience

  • Extensive experience leading Data Engineering team, with a focus on Big Data and (Multi) Cloud technologies.
  • Hands on in SQL and its Big Data variants (Hive-QL, Snowflake ANSI, Redshift SQL)
  • Experience in communicating with and influencing peers and stakeholders
  • Solid experience, knowledge and skills in Data Engineering, and BI/software development such as ELT/ETL, data extraction and manipulation in Data Lake/Data Warehouse environment.
  • Proven experience in data modelling, analysis, and profiling.
  • Experience working in diverse data domains.
  • Proven consulting and mentoring experience.
  • Experience in working within an Agile environment.
  • Experience in applying DevOps practices, SDLC, and CI/CD principles to build automated pipelines and deployment.
  • Ability to write efficient SQL statements.
  • Ability to analyse data to identify deliverables, gaps and inconsistencies.

7. BS in Data Science with 12 Years of Experience

  • Excellent leadership skills to mentor the engineers
  • Deep understanding of big data or data warehouse technologies and architecture in a highly scalable and available set-up like Big Data/MLOps/Cloud Data warehouse/Data Lake/Spark/Streaming Ecosystem
  • Deep understanding & expertise in data pipelines, ingestion, storage, data wrangling, and data governance.
  • Strong knowledge of Spark/Hive/Presto or ML lifecycle with MLOps.
  • Superior project management skills to manage multi-engineer projects and experience in delivering high-quality projects on time
  • Experience with technical depth as well as good people skills
  • Communication and leadership experience and experience initiating and driving projects.
  • Data architecture experience.
  • Experience in SQL or similar languages and development experience in at least one scripting language (Python, Perl, etc.).
  • Experience in Data Engineering, BI, or Data Warehousing.

8. BS in Software Engineering with 10 Years of Experience

  • Experience leading multiple teams
  • Strong understanding of the different parts of the software development lifecycle, from exploration, design to delivery to production
  • Experience building distributed / cloud scalable, real-time, and high-performance data lake solutions 
  • Able to quickly pick up new development paradigms, technologies, and frameworks
  • Understanding of Agile principles and Scrum development process
  • Ability to influence outcomes across highly aligned, loosely coupled teams
  • Experience in building positive relationships across Product and Engineering
  • Comfortable working in a fast-paced, results-oriented environment
  • Experience working in the fraud or compliance domain within financial services companies
  • Experience with Hive or Presto, data visualization tools, and/or relational database management systems.
  • Experience with data sets, Hive, and data visualization tools.

9. BS in Information Systems with 7 Years of Experience

  • Experience working as a data and/or BI engineer
  • Experience as a people manager 
  • Technical expertise with conceptual & dimensional modeling, integrations & ETL, datawarehouse designs, tabular cubes, and self-service solutions
  • Proven experience with MSBI Azure PaaS/SaaS such as ADF, Data Lake, Synapse, T/U-SQL, DataBricks, MDS, DAX, PowerBI and SQL Server but also of relevance is SSIS, SSRS, and SSAS/MDX
  • Experience in data warehouse migrations or data transformation projects
  • Experience from a relevant and data rich company, retail experience 
  • Coding proficiency in modern programming languages (Python etc)
  • Highly proficient in English and able to communicate with all levels
  • Proven leader and mentorship managing 1 or more teams
  • Experience working with orchestration tools like Airflow
  • Programming experience with Python or Scala and knowledge of technologies like Spark, Presto, HIVE etc

10. BA in Statistics with 9 Years of Experience

  • Experience managing, scaling and mentoring teams in highly matrixed organizations.
  • Experience in BI and Data Warehousing.
  • Examples of strong partnerships with product managers and engineers which provide product direction and exert significant influence in defining goals for product area.
  • Project management experience.
  • Data architecture experience.
  • Experience in SQL or similar languages and development experience in at least one object-oriented language (Python, Java, etc.).
  • Experience in a consumer web or mobile company.
  • Experience with data sets, Hadoop, and data visualization tools.
  • Working knowledge of Data warehousing, Data modeling, Governance and Data Architecture
  • Working knowledge of Reporting & Analytical tools such as Tableau, Quicksight, etc
  • Demonstrated experience in learning new technologies and skills

11. BS in Computer Science with 10 Years of Experience

  • Experience in solution development and technology 
  • Experience in a management or leadership role
  • Strong skills in team leadership and building positive relationships across Product and Engineering
  • Experience working in Agile and Scrum development process
  • Experience working in a fast-paced, results-oriented environment
  • Practical approach to solving complex problems with ambiguous requirements
  • Experience architecting and building data products using batch and streaming paradigms
  • Experience in Amazon Web Services (AWS) or other cloud platform tools
  • Experience working with Data warehousing tools like Amazon Redshift, Snowflake
  • Knowledge of NoSQL systems like Dynamo DB
  • Experience working with data computing technologies like EMR, Data Bricks, etc
Relevant Information
Director of Data Engineering Skills, Experience, and Job Requirements