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AWS Data Engineer

Funic Tech

Job Title : AWS Data EngineerExperience Required - 4+ YearsLocation - Gurgaon / Noida / HyderabadWork Timings - 2 :00 PM 11 :00 PM ISTJob Summary :We are seeking a skilled and motivated AWS Data Engineer to join our growing data team. The ideal candidate will have hands-on experience designing, developing, and maintaining scalable data pipelines and data solutions using AWS cloud technologies. The candidate should possess strong expertise in PySpark, Python, and data visualization tools such as Power BI or Tableau. Experience with Snowflake will be considered an added advantage.Key Responsibilities :- Design, develop, and maintain scalable ETL/ELT data pipelines using AWS services.- Build and optimize data processing workflows using PySpark and Python.- Develop and manage data ingestion processes from multiple structured and unstructured data sources.- Work closely with business stakeholders, analysts, and data scientists to understand data requirements and deliver solutions.- Ensure data quality, integrity, security, and governance across data platforms.- Optimize data storage and processing performance in cloud environments.- Create and maintain technical documentation related to data architecture, pipelines, and workflows.- Develop dashboards and reporting solutions using Power BI or Tableau.- Troubleshoot and resolve data-related issues in production environments.- Collaborate with cross-functional teams to implement best practices in data engineering and cloud technologies.Required Skills :Technical Skills :- Strong experience with AWS cloud services.- Hands-on experience with PySpark and Apache Spark.- Proficiency in Python programming.- Experience in building and managing ETL/ELT pipelines.- Strong understanding of data warehousing concepts.- Experience with SQL and relational databases.- Hands-on experience with Power BI or Tableau.- Knowledge of data modeling and data architecture principles.Good to Have :- Experience with Snowflake.- Knowledge of CI/CD pipelines and DevOps practices.- Exposure to big data technologies and distributed data processing frameworks.Qualifications :- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.- Strong analytical and problem-solving skills.- Excellent communication and stakeholder management abilities.- Ability to work effectively in a fast-paced, collaborative environment.Why Join Us :- Opportunity to work on cutting-edge cloud and data technologies.- Collaborative and growth-oriented work environment.- Exposure to enterprise-scale data engineering projects.- Continuous learning and career development opportunities. (ref:hirist.tech)

Vacancy posted 20 hours ago
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