Data Architect

3 months ago


Gurugram, India KRS Manpower Solutions Pvt Ltd Full time

Role : Data Architect

Exp : 6 to 12 Years

Skills : Python, Spark, Scala, Kafka, GCP, Dataproc, Data pipeline, DevOps

Job Type : Full-Time

Job Summary :

We are seeking a highly skilled Data Engineer with experience in architectural roles to join our team. The ideal candidate will have a strong background in data engineering, database management, and data architecture. You will be responsible for designing, implementing, and maintaining our data infrastructure, ensuring data quality, and driving data strategy across the organization.

Key Responsibilities :

- Data Architecture Design : Design and implement scalable, robust, and high-performance data architectures to meet the company's needs.

- Data Modeling : Develop and maintain data models, schemas, and data dictionaries.

- Data Integration : Design and implement ETL processes to integrate data from various sources.

- Database Management : Manage and optimize databases, ensuring high availability and performance.

- Data Quality : Ensure the accuracy, reliability, and integrity of data across all systems.

- Collaboration : Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.

- Performance Tuning : Optimize query performance and database configurations.

- Documentation : Maintain comprehensive documentation of data architecture, processes, and standards.

- Security : Implement and enforce data security policies and procedures.

Required Skills and Qualifications :

- Education : Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Experience :

- 5+ years of experience in data engineering or related roles.

- Proven experience as a Data Architect or similar role.

Technical Skills :

- Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle).

- Experience with NoSQL databases (e.g., MongoDB, Cassandra).

- Expertise in data modeling, ETL processes, and data warehousing.

- Proficiency in programming languages such as Python, Java, or Scala.

- Experience with big data technologies (e.g., Hadoop, Spark).

- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).

- Knowledge of data governance and data security practices.

Soft Skills :

- Strong problem-solving and analytical skills.

- Excellent communication and teamwork abilities.

- Ability to work in a fast-paced, dynamic environment.

Preferred Qualifications :


- Experience with real-time data processing and stream processing frameworks (e.g., Kafka, Flink).

- Certification in cloud technologies (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer).

- Knowledge of machine learning and AI concepts.

(ref:hirist.tech)
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