Job Role: Senior Data Engineer
Salary: 19.8 Lakhs per year (₹1.7L per month).
Location: Bengaluru
Company: Swiggy
Qualifications: Any Graduate
Experience: 1 – 2 Years
ABOUT SWIGGY
Samsung Electronics Canada is a subsidiary of the global technology giant Samsung Electronics Co., Ltd. Headquartered in Mississauga, Ontario, it plays a pivotal role in bringing Samsung’s modern-day generation and innovative products to the Canadian marketplace. The company operates in numerous sectors which include customer electronics, telecommunications, and domestic appliances, supplying a huge variety of merchandise consisting of smartphones, drugs, wearables, TVs, refrigerators, washing machines, and more.
Samsung Electronics Canada is committed to turning in excellent reliability in its products, supported via a sturdy awareness of studies and improvement. The employer additionally emphasizes sustainability and network involvement, striving to make a high-quality effect through tasks that sell environmental obligation and social welfare.
With a customer-centric approach, Samsung Electronics Canada ambitions to enhance the lives of Canadians by presenting contemporary generation answers that cater to both character and business needs. Through continuous innovation and willpower to excellence, Samsung Electronics Canada remains a leader in the Canadian tech market, recognized for its nice merchandise and ahead-thinking answers.
Job Description
We are in search of a Senior Data Engineer to sign up for our dynamic team. You may be responsible for designing, enforcing, and retaining scalable information pipelines and infrastructure to guide the needs of our facts-pushed business enterprise. Your information in statistics modeling, ETL approaches, and disbursed computing frameworks could be critical in optimizing facts workflows and making sure of data reliability and accessibility. Collaborating intently with go-purposeful teams, you may power innovation and great practices in facts engineering. Strong programming capabilities and revel in with cloud systems (AWS, GCP, Azure) are desired. Join us in shaping the future of our information ecosystem!
Key Responsibilities of a Senior Data Engineer at Swiggy:
- Designing and Developing Data Architectures: Lead the design and implementation of scalable and strong information pipelines and architectures. This includes knowledge of commercial enterprise requirements, translating them into technical designs, and making sure records solutions align with organizational desires.
- Data Modeling and Database Design: Design green records fashions and schemas, considering overall performance, scalability, and simplicity of protection. Implement database answers that assist both transactional and analytical workloads.
- ETL Development and Optimization: Develop, hold, and optimize ETL tactics to efficiently pass records throughout structures. Ensure data first-rate and integrity throughout the ETL lifecycle, including error managing and monitoring.
- Data Integration and API Development: Integrate statistics from numerous resources and third-birthday party APIs into the information surroundings. Build and preserve APIs for statistics to get admission to and integration with other structures.
- Performance Tuning and Monitoring: Monitor and optimize information pipeline performance, troubleshoot bottlenecks, and ensure excessive availability and reliability of facts systems. Implement tracking and alerting to proactively perceive troubles.
- Data Governance and Security: Implement statistics governance regulations and strategies to ensure records privacy, protection, and compliance with rules (e.g., GDPR, CCPA). Define get entry to controls and manipulate permissions for statistics get admission to. (Senior Data Engineer)
- Collaboration and Cross-functional Support: Work closely with statistics scientists, analysts, and other stakeholders to apprehend information requirements and deliver answers that meet their wishes. Collaborate with infrastructure and operations groups to deploy and preserve statistics structures.
- Documentation and Knowledge Sharing: Document facts architecture, tactics, and pleasant practices. Mentor junior crew contributors and behavior understanding-sharing periods to promote continuous mastering and improvement in the team.
- Adopting Best Practices and Emerging Technologies: Stay present-day with enterprise tendencies, exceptional practices, and emerging technologies in facts engineering and analytics. Evaluate and undertake new tools and technology to enhance data skills.
Key Skills and Qualifications of a Senior Data Engineer:
- Strong Programming Skills: Proficiency in programming languages along with Python, Java, Scala, or comparable languages for record manipulation, scripting, and automation.
- Data Engineering Tools and Technologies: Experience with records warehousing solutions (e.G., Snowflake, Redshift), ETL gear (e.G., Apache Airflow, Informatica), and big records technology (e.G., Hadoop, Spark).
- Database Management Systems: Deep understanding of relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra) for designing and optimizing database schemas. (Senior Data Engineer)
- Data Modeling and Optimization: Ability to layout and optimize facts fashions, queries, and indexes for performance and scalability.
- Problem-solving and Analytical Thinking: Strong analytical competencies with the capability to troubleshoot complex information troubles, become aware of root causes, and put into effect powerful solutions.
- Communication and Collaboration: Excellent conversation skills with the potential to collaborate efficiently with move-purposeful groups, present technical principles to non-technical stakeholders, and impact selection-making.
- Project Management: Experience in coping with stop-to-cease data engineering projects, along with necessities gathering, planning, execution, and transport.
- Education and Experience: Bachelor’s or Master’s diploma in Computer Science, Engineering, or a related subject.Proven experience (commonly five years) in an information engineering position, with a track record of handing over scalable and reliable records solutions.
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