Data Engineers

4 weeks ago

bangalore, India Multplyr Full time
Payroll Company: Multplyr
Role: Data Engineers
Experience: 2 - 10 years, across levels
Location: Hybrid / WFO at our client offices in Bengaluru, Mumbai, Pune, Delhi/NCR, Hyderabad and Chennai
Type: Contract / Contract To Hire
Typical Duration: 6 - 12 months
About Us
Multplyr is a leading specialist tech recruitment and staffing firm, empanelled with global clients in BFSI, SaaS and IT/ITeS industries. We specialize in building a robust talent pipeline and offer them as contract resources to our clients.
Why Multplyr
Competitive salary with PF coverage
Transparency on project pipeline for better planning
Medical insurance of 3L and Accidental insurance of 10L
Community initiatives like technical knowledge sharing sessions, upskilling from peers, interview prep, resume building etc.
Role
As a Data Engineer, you will play a crucial role in structuring, creating, and maintaining our client’s data infrastructure. You will be responsible for developing, constructing, testing, and maintaining data pipeline architecture, data systems, and databases. You will work closely with Data Scientists and other stakeholders to ensure streamlined data integration and enhance our client’s data-driven decision-making processes.
Typical Responsibilities:
Design, build, and maintain data systems and databases that support data analysis and reporting.
Develop and implement data pipelines and ETL processes that effectively capture, integrate, and transform large volumes of data.
Optimize and troubleshoot data models, databases, and data pipelines to ensure efficiency, reliability, and scalability.
Collaborate with cross-functional teams to define data requirements and identify data sources to ensure data integrity and accuracy.
Develop data processing and manipulation scripts using programming languages such as Python, SQL, and Spark.
Collaborate with Data Scientists to implement machine learning models and algorithms within data workflows.
Conduct data quality assessments and implement data cleansing and validation processes to ensure data accuracy and completeness.
Monitor and maintain data systems performance and address any data-related issues in a timely manner.
Stay up-to-date with advancements in data engineering best practices and technologies and propose and implement improvements as needed.
Requirements
Bachelor's degree in Computer Science, Data Science, or a related field.
Proven experience as a Data Engineer or a similar role.
Strong programming skills in languages such as Python, SQL, and/or Spark.
Proficient in designing and implementing relational and/or NoSQL databases.
Experience in building and optimizing data pipelines and ETL processes.
Sound knowledge of data modeling principles and practices.
Familiarity with cloud computing platforms such as AWS, Azure, or GCP.
Strong problem-solving skills and an analytical mindset.
Excellent communication and collaboration skills.
Ability to work independently and as part of a team in a fast-paced environment.
Attention to detail and strong organizational skills.
A passion for continuous learning and staying updated with emerging trends in data engineering.
Important
These positions are contract or contract-to-hire with our global clients. Candidates will need to go through client interviews, and onboarding will only occur if the client decides to hire.

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