Python Data Engineer
4 weeks ago
Role: Python DataEngineer/Developer
Exp: 3 YearsRelevant
Location: PANIndia
Positions: 1
Budget: 15LPA
Notice: Immediate joinersonly
JD:
KeyResponsibilities:
Lead the development andmaintenance of our Pythonbased data processing and analyticsinfrastructure.
Design and implement robust ETLprocesses integrating data from diverse sources.
Develop manage and optimize data warehouses andpipelines.
Craft and refine data models anddatabase structures.
Conduct data profilingensure data quality and execute data cleansingroutines.
Address and resolve challenges in dataprocessing and quality maintaining efficient datapipelines.
Keep abreast of the latest trends indata engineering and NoSQL technologyadvancements.
Collaboratively engage in codereviews testing and deployment of newfunctionalities.
Uphold stringent data securityand privacy standards.
Mentor team members insystem architecture and best practices in dataengineering.
Qualifications:
Bachelor s or Master s in Computer Science or relatedfield.
Minimum 3 years of experience in Pythondevelopment and data engineering.
Expertise inSQL/NoSQL databases Pandas and datavisualization
Proficiency in handling largedatasets and working with NoSQL databases.
Experience with cloud services (AWS Azure) Airflow and datawarehousing technologies.
Knowledge of Dockerand Azure SQL Data Warehouse.
Understanding ofprivate credit investment and assetbacked securities is highlydesirable.
Skill in data visualization toolslike Power BI.
Independent problemsolvingability strong teamwork and communicationskills.
data visualization,datasecurity,asset-backed securities,power bi,data quality,address andresolve challenges in data processing,data warehousing,privatecredit investment,data engineering,azure sql datawarehouse,aws,data cleansing routines,docker,nosql,mentoring,azuresql,sql,cloud services,data models,azure,data cleansing,sql/nosqldatabases,privacy standards,code reviews,python,dataprofiling,nosql technology,etl processes,databasestructures,airflow,pandas
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