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Sr. Data Engineer
Zuru Tech
posted 1mon ago
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Key skills for the job
Job Description
Designing and managing scalable data pipelines and ETL processes across cloud platforms such as Snowflake, Databricks, Azure Synapse, Redshift, and BigQuery.
Leading the development and deployment of advanced data models and optimizing data storage, retrieval, and processing techniques for downstream systems.
Overseeing the end-to-end development of secure and performant data integration solutions, ensuring compliance with data governance and best practices.
Architecting and implementing event-driven and streaming data frameworks to process and store real-time data.
Collaborating closely with architects, senior engineers, and other project stakeholders to deliver seamless integration of additional components (e.g., APIs, search, and visualization tools).
Evaluating and implementing Proof of Concepts (PoCs) for new data integration technologies, assessing their performance and suitability against business requirements.
Actively contributing to Agile/DevOps processes, participating in sprint planning, code reviews, and continuous improvement initiatives.
Mentoring junior data engineers and leading by example through technical leadership and hands-on support of critical projects
What are we Looking for Strong problem-solving skills and the ability to resolve complex data engineering issues with minimal supervision.
A leader in data engineering practices, with a focus on scalability, security, and automation.
Collaborative and skilled in working in a team environment, particularly in Agile settings.
A quick learner and an innovator, capable of evaluating emerging technologies and adapting them to meet project needs.
Passionate about data engineering and eager to mentor junior engineers while driving high-impact projects.
Required Skills
AWS, Azure, GCP (Expertise in at least one)
Snowflake, Databricks, Redshift, Azure Synapse, BigQuery
Proficient in Python, PySpark, SQL
Expertise in Blob, S3, Object Stores, MinIO
Strong understanding of data modeling techniques
Familiarity with cloud networking (VPC, Virtual Network) and IAM policies for secure data handling
Hands-on experience with DevOps methodologies, automation frameworks, and Agile development practices
Proven experience migrating data from on-premises systems to cloud data warehouses
5 Working Days with Flexible Working Hours
Medical Insurance for self family
Work with the Global team, Make the most of the diverse knowledge
Several discussions over Multiple Pizza Parties
A lot more! Come and discover us! Employment Type: Full Time, Permanent
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based on 29 employees
Strict timing
Monday to Friday
No travel
Day Shift
Zuru Tech Benefits
Job Training 
Soft Skill Training 
Team Outings 
Health Insurance 
Work From Home 
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