Vadodara, Gujarat, India
Information Technology
Full-Time
HARMAN India
Overview
Key Responsibilities of the role include:
- Data Architect
- Develop and implement data engineering project including data lakehouse or Big data platform
- Knowledge of Snowflake is must
- SAP BW Knowledge is must
- Ability to define reference data architecture
- Cloud native data platform experience in AWS or Microsoft stack
- 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.
- Experience with data modeling and design tools such as ERwin, PowerDesigner, or ER/Studio
- 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.
- Knowledge of project management methodologies and tools to manage and deliver complex data projects.
- Skilled in using relational database technologies such as MySQL, PostgreSQL, and Oracle, as well as NoSQL databases such as MongoDB and Cassandra. Strong expertise in cloud-based databases such as Azure datalake , Synapse, Azure data factory and AWS glue , AWS Redshift and Azure SQL.
- Knowledge of big data technologies such as Hadoop, Spark, snowflake, databricks , and Kafka to process and analyze large volumes of data.
- 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.
- Foster a culture of innovation and collaboration within the Data team and across the organization.
- 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.
- Provide technical guidance and mentorship to the Data team
- 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
- 12+ years of experience in the information technology industry with strong focus on Data engineering, architecture and preferably as data engineering lead
- 8+ years of data engineering or data architecture experience in successfully launching, planning, and executing advanced data projects.
- Experience in working on RFP/ proposals, presales activities, business development and overlooking delivery of Data projects is highly desired
- A master’s or bachelor’s degree in computer science, data science, information systems, operations research, statistics, applied mathematics, economics, engineering, or physics.
- Candidate should have demonstrated the ability to manage data projects and diverse teams.
- 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
- Ability to normalize and standardize data as per Key KPIs and Metrics
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