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Job Description
About The Position
Skills & Know-how
- Data engineering professional who is passionate about building scalable data solutions.
- Expertise with relational and nonrelational databases including the aspects like a schema design, query optimization, and security.
- Working closely with the other teams Analytics, Data Science, DevOps and Backend
- A desire to work in a collaborative, intellectually curious environment.
- 2 - 4 years of experience.
- Both Real Time and Batch Data Pipeline experience
- CDC and ETL / ELT Pipelines
- Datawarehouse and DataLake experience
- Proficient in Coding, Algos and SQL / NoSQL query writing.
- Must have experience either on Amazon Cloud Service or Google Cloud Platform.
- REST API Design & Development on scale data
- Handle TBs and PBs of Data in the system.
- Data Validation and Quality Check
- Basic understanding of DevOps or ML would be a plus point.
- Must be Ready to take responsibilities and work in a very fast learning growing environment.
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- Data engineering and architecture skills: Data modeling, integration, databases (relational and NoSQL), data warehousing, big data technologies (Hadoop, Spark), cloud platforms (AWS, Azure, GCP), programming languages (Python, Java, SQL), data quality/governance, security/compliance, distributed systems, problem-solving, communication, continuous learning.
- Programming Language: Python / Java
- Database: MySQL / Postgres and MongoDB or Cassandra
- Data Warehouse: Redshift or BigQuery
- Data Lake: AWS S3 or GCP GCS
- Data Engineering Tools: Apache Spark, Apache Kafka, Apache Airflow
- Cloud Platform: AWS or Google Cloud
- Reporting Tool: Redash , Metabase , Superset
Skills
AnalyticsData ModelingData QualityData ScienceData WarehousingEtlMysqlPythonQualityReportingSqlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
Important dates & deadlines?
Application Deadline
17 Feb 24, 02:30 PM IST
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