Cyncly Hiring Drive 2024: Cyncly Hiring Drive 2024 for its Senior Data Engineer. Cyncly Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in computer science or IT-related courses. if you are interested, please apply as soon as possible.
Company Name: Cyncly
Role: Senior Data Engineer
Location: Bengaluru
Experience: 3+ years
Qualification: Bachelor’s degree in computer science or IT-related courses
Batch: Any
Job Type: Full Time
Salary: 6.5 to 7.3 LPA (Expected)
Cyncly Hiring Drive 2024
Job Description:
- As a Sr Data Engineer in AI COE team, you’ll design and implement data solutions, build modern pipelines, and perform complex data analysis.
- Your expertise in Azure tools will ensure efficient data processing and compliance with security and privacy regulations.
- Mentorship and technical documentation are part of your role, contributing to our dynamic team driving innovation in the Space Designing industry.
- Join us and make a significant impact with your data engineering skills.
- Apply now to be part of Cyncly’s growth and success!
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Requirements:
- Bachelor’s degree in computer science or IT-related courses.
- 3+ years of experience in Data area.
- Knowledge of programming languages (e.g. Java and Python)
- Technical expertise with data models, data mining, and segmentation techniques.
- Solid knowledge in relational and NoSQL databases (SQL Server, Snowflake, CosmosDB)
- Background on data modeling for relational database, NoSQL database, and data warehouse. Must have the required knowledge to understand/build complex database systems for businesses.
- Experience with big data tools: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc.
- Strong hands-on in build pipelines and ETL with Azure Synapse, DBT, Stitch, or similar tools.
- Analytical, problem-solving, and decision-making skills.
- Strong knowledge of working on and managing big data environments.
- Demonstrate excellent analytical, technical, interpersonal, and organizational skills and be a good team player.
- Experience working in an agile environment as an important part of the team.
- Excellent communication skills with sponsors, CSM teams, and clients.
Responsibility:
- Design data solutions to meet business, technical and user requirements. This includes building modern data pipelines that meet that meet functional/non-functional business requirements and provide end to end data solutions.
- Preprocessing of data using language as SQL, Python or other languages.
- Analyzing Raw data and combining raw data from multiple sources, Developing and maintaining data sets and improving data quality and efficiency.
- Conduct complex data analysis and report on results.
- Create pipelines on Azure Synapse or similar, to copy, move, or process data.
- Good knowledge on Azure data processing tools
- Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Implementing ETLs pipelines using Azure Synapse or other similar resources
- Provide datasets modeled according to Data Analysts and Data Scientists need. Improving the use of data resources and processes to achieve better performance and reduce the cost values.
- Support compliance with data, information and security management requirements of the Unit (GDPR, LGPD, or specific data protection laws)
- Master data lifecycle, standards and technologies used by the team and the company.
- Deliver on time with high quality.
- Perform technical documentation of the resources, pipelines, data sources, and datasets.
- Trouble Shooting and debugging skills for faster data defect fixing.
- Provide guidance and mentoring to Interns/Freshers and other data engineers.
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