Role: Senior Data Engineer
Company: Velotio Technologies
Experience: 5 – 9 years
Salary: Not Disclosed
Location: Remote, The Hiring office is located in Pune
About Velotio Technologies Company
Velotio Technologies is a product engineering employer running with revolutionary startups and institutions. We are a certified Great Place to Work and diagnosed as one of the exceptional companies to paint for in India. We have furnished entire-stack product improvement for one hundred ten+ startups throughout the globe building merchandise in the cloud-neighborhood, statistics engineering, B2B SaaS, IoT & Machine Learning space.
Senior Data Engineer Job Description
We are attempting to find a quite professional and skilled Senior Data Engineer to sign up for our dynamic group. In this role, you may be chargeable for designing, growing, and preserving our data infrastructure. You will art work closely with circulate-beneficial corporations to ensure the green flow and control of facts, assisting our industrial employer intelligence and analytics wishes.
Key Responsibilities:
Data Pipeline Development:
Design, assemble, and keep scalable and sturdy statistics pipelines to gadget massive volumes of statistics from numerous resources.
Implement records ingestion, transformation, and loading (ETL) processes using contemporary records engineering gear and frameworks.
Optimize data pipelines for performance, reliability, and scalability.
Database Management:
Develop and hold statistics storage answers, which include relational databases, NoSQL databases, and statistics lakes.
Ensure data integrity, safety, and availability throughout all data storage solutions.
Monitor and troubleshoot database overall performance problems, imposing enhancements as wished.
Data Integration:
Collaborate with records scientists, analysts, and different stakeholders to recognize records necessities and supply included data answers.
Integrate statistics from numerous assets, which encompass APIs, 1/3-birthday party structures, and internal packages.
Develop and hold records fashions to guide analytical and reporting needs.
Data Quality and Governance:
Implement and put in force information on exceptional necessities and great practices.
Develop facts validation and cleaning strategies to make certain records accurate and consistent.
Establish records governance guidelines and strategies to govern records lifecycle and compliance necessities.
Automation and Optimization:
Automate repetitive records engineering duties to improve performance and reduce guide intervention.
Continuously compare and adopt new eras and equipment to decorate facts and engineering abilities.
Implement tracking and alerting structures to proactively discover and resolve facts and problems.
Collaboration and Mentorship:
Work closely with move-useful teams, including software engineers, records scientists, and enterprise analysts, to supply information-pushed answers.
Mentor junior information engineers, providing steering and help to help them develop their roles.
Contribute to the improvement of super practices and requirements for data engineering inside the organization.
Senior Data Engineer Qualifications:
Education:
Bachelor’s or Master’s diploma in Computer Science, Engineering, or a related subject.
Experience:
5+ years of experience in information engineering or an associated problem.
Proven experience in designing and implementing big-scale statistics pipelines and ETL strategies.
Strong revel in SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB).
Proficiency in information engineering systems and eras (e.G., Apache Spark, Kafka, Hadoop).
Experience with cloud structures (e.g., AWS, Google Cloud, Azure) and their records services.
Senior Data Engineer Skills:
Strong programming abilities in languages which include Python, Java, or Scala.
Excellent hassle-fixing and analytical talents.
Preferred Qualifications:
Experience with containerization and orchestration equipment (e.g., Docker, Kubernetes).
Knowledge of machine analysis and statistics technological knowledge concepts.
Experience with actual-time facts processing and streaming technologies.
Why Join [Company Name]?
Innovative Environment: Work on present-day initiatives with a skilled and passionate crew.
Career Growth: Opportunities for expert development and professional improvement.
Competitive Compensation: Attractive income and blessings bundle deal.
Work-Life Balance: Flexible work hours and remote painting alternatives.
Inclusive Culture: A diverse and inclusive place of business wherein everybody’s contributions are valued.
Application Process:
To observe for the Senior Data Engineer position, please publish your resume and a cowl letter detailing your applicable revel and why you’re inquisitive about this position.
Apply Now: Senior Data Engineer
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