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Data Engineer
Sandhata Technologies
posted 17hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
We are seeking a talented Senior Data Engineer/Architects to join our innovative team. This role offers the flexibility of a hybrid working model, combining remote work with in-office twice a week. The ideal candidate will be a skilled data industry professional with hands-on experience in BigQuery and Python, and a passion for solving problems with data.
Key Responsibilities:
- Data Engineering: Design, develop, and maintain scalable data pipelines and architectures.
- Data Analysis: Utilize SQL and BigQuery to analyze large datasets and derive actionable insights.
- Optimize performance applying cost management techniques.
- Knowledge on data encryption techniques and key management over cloud
- Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions.
- Problem Solving/Competence:
- Apply data skills to solve complex business problems and improve decision-making processes.
- Ability to work in fast paced environment and effectively manage priorities.
- Technology Integration:
- Implement and manage data solutions using GCP and other relevant technologies.
- Upscale with latest trends, evolving solution to meet business needs.
Must-Have Skills:
- BigQuery and Python: Minimum of 2-3 years of experience working with these tools.
- Proven experience in building data platforms on cloud platform, preferably GCP
- Experience with SQL and Python for data processing
- Expertise with Big Query, Dataflow, Qlik, and cloud functions
- Data Engineering Experience: Hands-on experience as a Data Engineer, Analytics Engineer, or Data Architect.
- Experience in implementing security, privacy policies for data governance (GDPR)
- Understanding of DevOps practices for data platforms
- Problem-Solving Passion: A strong passion for solving problems using data skills.
Preferred Qualifications:
-
- Google cloud professional data engineer
- Experience in ML and integration with GCP s AI platform
- Familiarity with data lake implementation for structured source data
Technology Skills:
- SQL
- Python Programming
- Data Science, Data Structures, Algorithms
- BigQuery, PostGres
- Data Visualization Tools: Experience with at least one of the following Tableau, Qlik, Google Charts, Data Studio/Looker
- GCP (Google Cloud)
Benefits:
- Flexible working hours with a hybrid model (remote and in-office).
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and inclusive work environment.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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