hr quality assurance analyst Jobs – 67 Open Jobs Today

Data Engineer
IMPRONICS DIGITECH PRIVATE LIMITED —Unknown, Haryana
- Full-time
- Azure
- Computer Science
- DevOps
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Analytics Lead
Saarthee —Gurugram, Haryana
- Management
- SQL
- Analysis skills
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Java Full Stack Developer
CoolBoots Media —Gurugram, Haryana
- Java
- Databases
- SQL
Dot Net Architect
Venture7 Technology Private Limited —Faridabad, Haryana
- Call employer
- Azure
- Software troubleshooting
- Salesforce

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Data Engineer

IMPRONICS DIGITECH PRIVATE LIMITED
Unknown, Haryana

Quick apply

Job details

Full-time

Qualifications

BCS
Power BI
Data modeling
Azure
Computer Science
Kubernetes
Big data
DevOps
Spark
NoSQL
Google Cloud Platform
MongoDB
Tableau
Java
Master's degree
Databases
SQL
AWS
Analysis skills
Quality assurance
Docker
Bachelor's degree
Machine learning
PostgreSQL
Scala
APIs
ETL
Apache
Data visualization
Redshift
Communication skills
Data warehouse
Python
MySQL
Hadoop
Information Technology

Full job description

Job Title: Data Engineer

Job Summary:

We are seeking a skilled Data Engineer to join our team. In this role, you will design, implement, and maintain robust data pipelines and architectures to support our data-driven initiatives. You will work closely with data scientists, analysts, and business teams to ensure the efficient flow and integration of data across various systems, allowing for insightful analysis and decision-making.

Key Responsibilities:

Data Pipeline Development: Design, build, and maintain scalable and efficient data pipelines to collect, clean, process, and store data from multiple sources.
Data Integration: Collaborate with cross-functional teams to integrate data from various databases, APIs, and third-party services into centralized data platforms.
Data Modeling & Architecture: Develop and optimize data models, schemas, and databases to support data analysis and reporting.
ETL Process Management: Implement and manage Extract, Transform, Load (ETL) processes to ensure data is properly prepared and available for analytics.
Performance Optimization: Monitor and optimize the performance of data processing and storage solutions to handle large volumes of data efficiently.
Collaboration: Work closely with data scientists, analysts, and business teams to understand data needs and provide data solutions that meet organizational goals.
Data Quality Assurance: Ensure data integrity, quality, and security across all data systems and pipelines.
Documentation: Maintain clear documentation of data engineering processes, architectures, and workflows.

Qualifications:

Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. A Master’s degree is a plus.
Experience:
Minimum of 4+ years of experience in a data engineering role or similar.
Experience with building and maintaining data pipelines and ETL processes.
Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data tools (e.g., Hadoop, Spark).
Technical Skills:
Proficiency in programming languages like Python, Java, or Scala.
Strong knowledge of SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
Experience with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
Familiarity with data orchestration tools (e.g., Apache Airflow, Luigi).
Knowledge of data modeling, data governance, and data security best practices.
Soft Skills:
Strong analytical and problem-solving abilities.
Excellent communication skills, both written and verbal.
Ability to work collaboratively in a fast-paced, cross-functional team environment.

Preferred Qualifications:

Familiarity with data visualization tools (e.g., Tableau, Power BI).
Experience with machine learning frameworks and workflows.
Knowledge of containerization tools (e.g., Docker, Kubernetes).
Understanding of DevOps principles for data infrastructure management.

Quick apply

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