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Data Engineer
4 weeks ago
About the job :
Experience Required : 510 years
Industry : IT Consulting & Services
Education : 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
