Cyncly Hiring Drive 2024 For Senior Data Engineer | Location Bengaluru

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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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  • 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.


  • 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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