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Data Engineer
Teliolabs
posted 1d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
In this role, you will be an active member of the Clients AI Lab, playing the role of Data Engineer to support the implementation of solutions built in AI labs:
- Build data pipelines to bring in wide variety of data from multiple sources within the organization as well as from relevant 3rd party sources.
- Collaborate with cross functional teams to source data and make it available for downstream consumption.
- Work with the team to provide an effective solution design to meet business needs.
- Ensure regular communication with key stakeholders, understand any key concerns in how the initiative is being delivered or any risks/issues that have either not yet been identified or are not being progressed.
- Ensure timelines (milestones, decisions, and delivery) are managed and value of initiative is achieved, without compromising quality and within budget.
- Ensure an appropriate and coordinated communications plan is in place for initiative execution and delivery, both internal and external.
Who we are looking for:
Competencies & Personal Traits
- Work as a team player
- Strong technical background in data, AI, and modern cloud infrastructure.
1` Excellent programming skills in languages such as Python, SQL.
- Experience with Cloud Infra providers like Azure data bricks, Google cloud platform or AWS
- Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, Dataset / Dataframe API) or Hive query language (HQL)
- Knowledge of Big data ETL processing tools
- Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
- Basic knowledge of scripting (shell / bash)
- Experience of working with multiple data sources including relational databases (SQL Server / Oracle / DB2 / Netezza), NoSQL / document databases, flat files
- Basic understanding of CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
- Basic understanding of DevOps practices using Git version control
- Ability to debug, fine tune and optimize large scale data processing jobs
Work Experience
- 5-8 years of broad experience of working with Enterprise IT applications in cloud platform and big data environments.
Professional Qualifications
- Certifications related to Data and Analytics would be an added advantage
Education
- Master/bachelor s degree in STEM (Science, Technology, Engineering, Mathematics)
Job Category: Information Technology
Job Type: Full Time
Job Location: Remote
Languages: English
Experience: 5 to 8
Employment Type: Full Time, Permanent
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What people at Teliolabs are saying
What Teliolabs employees are saying about work life
based on 94 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Teliolabs Benefits
Submitted by Company
Work From Home Health Insurance Job Training
Submitted by Employees
Work From Home 
Job Training 
Health Insurance 
Soft Skill Training 
Team Outings 
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