Atgeir Solutions - Data Engineer - Python/Java

About The Job

Experience Required : 510 yearsIndustry : IT Consulting & ServicesEducation : Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Location : Pune

Role Overview

As a Data Engineer at Atgeir Solutions, you will play a pivotal role in designing, developing, and optimizing our data infrastructure and workflows.Your academic expertise will contribute to building robust systems that drive insightful analytics, enhance AI/ML models, and enable data-driven decision-making for our clients.

Key Responsibilities

Data Architecture and Pipeline Development :

• Design and implement scalable data architectures, ETL pipelines, and data workflows to process, store, and analyze large datasets effectively.
  

Data Integration

• Integrate and consolidate data from various sources, including APIs, databases, and cloud platforms, ensuring data integrity and quality.
  

Data Governance And Security

• Implement data governance practices, including data cataloging, lineage tracking, and ensuring compliance with information security standards (ISO 27001 or similar).
  

Collaboration With Teams

• Work closely with data scientists, software engineers, and business analysts to align data engineering solutions with business goals and requirements.
  

Optimization

• Optimize database performance, query execution, and storage solutions for efficiency and and Mentorship :
• Contribute to innovative projects and mentor junior team members.
• Leverage your academic expertise to foster a culture of continuous learning and development.
  

Required Skills And Qualifications

Technical Expertise :

• Proficiency in programming languages such as Python, Java, or Scala.
• Hands-on experience with big data technologies (e.g., Hadoop, Spark).
• Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
• Familiarity with data warehousing tools like Snowflake, Redshift, or BigQuery.
• Experience with cloud platforms like Google Cloud Platform (GCP), AWS, or Azure.
  

Data Engineering Fundamentals

• Expertise in ETL/ELT processes, data modeling, and data lake architectures.
• Knowledge of data visualization tools like Tableau, Power BI, or Looker.
  

Educational/Academic Experience

• Experience teaching relevant technical subjects (e.g., data engineering, databases, distributed systems, or machine learning) in engineering colleges.
• Proven ability to explain complex concepts to diverse audiences.
  

Soft Skills

• Excellent analytical and problem-solving skills.
• Strong interpersonal skills and the ability to collaborate effectively in cross-functional teams.
• Demonstrated ability to balance technical depth with business understanding.
  

Preferred Qualifications

• Certifications in cloud technologies (e.g., GCP Professional Data Engineer, AWS Certified Data Analytics).
• Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch).
• Contributions to research papers, technical blogs, or open-source projects
  

(ref:hirist.tech)