Data Engineer
1 month ago
Job description:
We are looking for people who are self-motivated, responsive individuals who are passionate about data. You will build data solutions to address complex business questions. Youll take data through its lifecycle, from the pipeline for data processing, data infrastructure, and create dataset data products. Core responsibilities:
Design and Build ETL jobs to support Enterprise data warehouse
Write Extract-Transform-Load (ETL) jobs using any standard tools
Partner with business team(s) to understand the business requirements, understand the impact to existing systems and design and implement new data provisioning pipeline process for Finance/ External reporting domains.
Monitor and troubleshoot operational or data issues in the data pipelines
Drive architectural plans and implementation for future data storage, reporting, and analytic solutions
Qualifications:
5+ years of relevant work experience in data engineering or software engineering equivalent
3+ years of experience in implementing big data processing technology: AWS / Azure / GCP, Apache Spark, Python
Experience writing and optimizing SQL queries in a business environment with large-scale, complex datasets
Have a working knowledge of using higher abstraction ETL tooling (AWS Glue Studio, Talend, Informatica, etc.)
Detailed knowledge of databases like Oracle / DB2 / SQL Server, data warehouse concepts and technical architecture, infrastructure components, ETL and reporting/analytic tools and environments
Hands-on experience in cloud technologies (AWS /google cloud/Azure) related to Data Ingestion tool (both real time and batch based), CI/CD processes, Cloud architecture understanding, AWS, Big data implementation.
PREFERRED SKILLS
AWS certification or experience with cloud technologies
Working knowledge of Glue, Lambda, S3, Athena, Redshift, Snowflake
Strong verbal and written communication skills, excellent organizational and prioritization skills
Strong analytical and problem-solving skills
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