Data Engineer

HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.

Key Responsibilities of the role include:

• Data Engineer
  • Develop and implement data engineering project including enterprise data hub or Big data platform
  • Ability to evaluate design and Develop ETL Jobs, data integration approach
  • Cloud native data platform experience in AWS S3, redshift, AWS glue
  • Knowledge about latest data trends including datafabric and data mesh
  • Robust knowledge of ETL and data transformation and data standardization approaches
  • Key contributor on growth of the COE and influencing client revenues through Data and analytics solutions
  • Lead the selection, deployment, and management of Data tools, platforms, and infrastructure.
  • Ability to guide technically a team of data engineers
  • Oversee the design, development, and deployment of Data solutions 
  • Define, differentiate & strategize new Data services/offerings and create reference architecture assets
  • Drive partnerships with vendors on collaboration, capability building, go to market strategies, etc.
  • Guide and inspire the organization about the business potential and opportunities around Data
  • Network with domain experts
  • Collaborate with client teams to understand their business challenges and needs.
  • Develop and propose Data solutions tailored to client specific requirements.
  • Influence client revenues through innovative solutions and thought leadership.
  • Lead client engagements from project initiation to deployment.
  • Build and maintain strong relationships with key clients and stakeholders.

• Build re-usable Methodologies, Pipelines & Models
  • Create data pipelines for more efficient and repeatable data science projects
  • Design and implement data architecture solutions that support business requirements and meet organizational needs
  • Collaborate with stakeholders to identify data requirements and develop data models and data flow diagrams
  • Work with cross-functional teams to ensure that data is integrated, transformed, and loaded effectively across different platforms and systems
  • Develop and implement data governance policies and procedures to ensure that data is managed securely and efficiently
  • Develop and maintain a deep understanding of data platforms, technologies, and tools, and evaluate new technologies and solutions to improve data management processes
  • Ensure compliance with regulatory and industry standards for data management and security.
  • Develop and maintain data models, data warehouses, data lakes and data marts to support data analysis and reporting.
  • Ensure data quality, accuracy, and consistency across all data sources.
  • Knowledge of ETL and data integration tools such as Informatica, Qlik Talend, and Apache NiFi.
  • Knowledge of data governance, data quality, and data security best practices
  • Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
  • Familiarity with programming languages such as Python, Java, or Scala.
  • Experience with data visualization tools such as Tableau, Power BI, or QlikView.
  • Understanding of analytics and machine learning concepts and tools.
  • Skilled in using relational database technologies such as MySQL,. Strong expertise in cloud-based databases such as AWS glue , AWS Redshift and AWS Glue
  • Knowledge of big data technologies such as Hadoop, Spark, snowflake,
  • Proficient in data integration techniques to combine data from various sources into a centralized location.
  • Strong data modeling, data warehousing, and data integration skills.

• People & Interpersonal Skills
  • Build and manage a high-performing team of Data engineers and other specialists.
  • Demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment.
  • Candidates should be confident, energetic self-starters, with strong communication skills.
  • Candidates should exhibit superior presentation skills and the ability to present compelling solutions which guide and inspire.
  • Collaborate with other stakeholders across the company to align the vision and goals 
  • Communicate and present the Data capabilities and achievements to clients and partners 
  • Stay updated on the latest trends and developments in the Data domain 

What is required for the role?

• 4-5 years of experience in the information technology industry with strong focus on Data engineering, architecture having led, driven and set up an Data practice in IT services or niche organizations
• 3+ years of data engineering / ETL experience in successfully launching, planning, and executing advanced data projects.
• Experience in working on Data and Analytics solutions and data engineering projects
• A master’s or bachelor’s degree in computer science, data science, information systems, operations research, statistics, applied mathematics, economics, engineering, or physics.
• Should have experience in creating data and analytics solutions.
• Experience in building solutions with Data solutions in any one or more domains – Industrial, Healthcare, Retail, Communication
• Problem-solving, communication, and collaboration skills.
• Good knowledge of data visualization and reporting tools

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.