Data Engineer
Are you a candidate who designs and develop Data Engineering pipelines?
What we are looking for:
- Define big data strategy through collaborations with stakeholders, architecture team, and product team to support data analytics, reporting, data visualization, and machine learning
- Deep understanding of data warehousing concepts, data update strategies, data modeling, data pipelines, and workflows
- Experience with open-source technologies (Spark, Kafka, Airflow, Talend, etc.)
- 2+ years of experience in Data Orchestration & ETL tools skills e.g Azure ADF, Glue, Databricks, etc
- Experience with AWS – EMR, Athena, Lambda, Kinesis, S3, EC2
- Proficient in programming languages such as Java, Scala and Python, and SQL Query Language
- Experience in both batch and stream processing technologies
- Troubleshoot data issues, validate result sets, recommend and implement process improvements, and provide ad-hoc and scheduled reports and analyses.
- Experienced working on performance tuning and optimizing long-running jobs
- Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment
- Proficient in a source code control system (e.g. ADO, GitHub)
- Good understanding of Modern Data Warehouse and Data Warehousing/ Lakehouse concepts
- Familiarity with Snowflake/ Redshift/ Azure Data Warehouse
Job Summary:
Office Location
Remote
Job Type
Full Time Permanent / Contract
Deadline
24th Sep, 2023
Experience
2+years
Working Hrs
40 Hrs/Week
Vacancy
No. Of Vacancy : 10
How to apply?
If you are interested in this position, please send us your CV and a cover letter to
info@dlytica.com.