
Data Governance
3 weeks ago
Data Engineer is required to be proactive in designing, building and maintaining data
systems. The role also requires cross-functional collaborations and ensure highest
standards of data quality and performance by extending his expertise in data engineering,
data architecture, pipeline creation and big data technologies.
Responsibilities
● Understand the values and vision of the organization
● Protect the Intellectual Property
● Adhere to all the policies and procedures
● Design, develop, and maintain scalable data pipelines for data ingestion,
processing and storage.
● Build and optimize data architectures and data models for efficient data storage
and retrieval.
● Develop ETL processes to transform and load data from various sources into data
warehouses and data lakes.
● Ensure data integrity, quality, and security across all data systems.
● Collaborate with data scientists, analysts, and other stakeholders to understand
data requirements and deliver solutions that meet business needs.
● Monitor and troubleshoot data pipelines and workflows to ensure high availability
and performance.
● Document data processes, architectures, and data flow diagrams.
● Implement and maintain data integration solutions using industry-standard tools
and technologies (e.g., Apache Spark, Kafka, Airflow).
Essential Skills
Job
● Expertise on Data Integration, processing & Storage.
● Expertise on Data optimization architecture, data process and data flow.
● Knowledge of Data integration tools like Apache Spark, Kafka & Airflow.
● Proficiency in SQL and at least one programming language (e.g., Python, Scala).
● Experience with cloud data platforms (e.g., AWS, Azure, GCP) and their data
services.
● Experience with data visualization tools (e.g., Tableau, Power BI).
Personal
● Excellent communication and interpersonal skills, with the ability to engage with
all levels of employees and management.
● Collaborative approach to effectively present and advocate for quick design
solutions.
● Stay updated on the latest design trends, tools, and technologies, bringing
innovative ideas to enhance the product experience.
● A proactive approach to problem solving, with a focus on delivering exceptional
customer satisfaction.
Preferred Skills
Job
● Strong knowledge of data management, processing, Architecture and design.
● Sound knowledge of data integration tools like Apache Spark, Kafka & Airflow.
● Identify and resolve customer challenges with a focus on providing high-quality
service and solutions.
Personal
• Demonstrate proactive thinking
• Strong communication and collaboration skills.
• Should have strong interpersonal relations, expert business acumen and mentoring
skills
• Strong problem-solving skills with attention to detail.
• Have the ability to work under stringent deadlines and demanding client
conditions.
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team.
Other Relevant Information
● Bachelor's degree in computer science, Information Technology, or a related field.
● Minimum 4 years of experience in data engineering & architecture.
● This role offers the flexibility of working remotely in India.
Regards
Sahiba
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