Aws Data Engineer
- LatentView
- 5 - 10 years
- Bengaluru
- 2 months ago
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Job Description
Role & responsibilities
- Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes
- Help streamline our data science workflows, adding value to our product offerings and building out the customer lifecycle and retention models
- Work closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning.
- Be an advocate for best practices and continued learning
Requirements
- Overall 5+ Years of experience in Data Engineering
- 4+ Years Data Engineering (AWS, Snowflake, SAP)
- 1+ Years experience in Manufacturing (Preferred)
- 1+ Years Operations Experience (Preferred)
Education:
- Bachelor's degree in computer systems, Information Technology, Analytics, or related business area.
Job Responsibility:
As a Data Engineer, youll be responsible for:
- Designing, constructing, installing, testing, and maintaining highly scalable, enterprise level data management systems.
- Ensuring systems meet business requirements and industry practices for data quality and reliability.
- Collaborating with system architects, software architects, design analysts, and others to understand data needs.
- Implementing data privacy policies and complying with data protection regulations.
- Integrating new data management technologies and software engineering tools into existing structures.
- Creating data tools for analytics and data team members that assist them in building and optimizing our product into an innovative industry leaders
- Proven experience with data cleansing and implementing data quality processes.
- Strong proficiency in managing data collection systems, ensuring accuracy and integrity of data.
- Ability to develop and maintain data models that support complex data analysis and prediction.
- Knowledge of information categorization and visual presentation techniques to enhance data accessibility and understanding.
- Expertise in Snowflake and AWS, demonstrating a comprehensive understanding of cloud data warehousing and computing solutions.
- Experience with SAP and other ERP systems, showcasing the ability to integrate and leverage data from various enterprise resource planning systems.
- Demonstrated ability to tie data together from disparate systems, ensuring cohesive and actionable insights.
Skills:
- Python
- SQL
- AWS
- Snowflake
- SAP
- Manufacturing & Operations
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
Perks and benefits
3 days work from office.
Annual Incentives.
Job Classification
Industry: Analytics / KPO / ResearchFunctional Area / Department: Production, Manufacturing & EngineeringRole Category: Production & Manufacturing - OtherRole: Production & Manufacturing - OtherEmployement Type: Full timeContact Details:
Company: LatentViewLocation(s): Bengaluru
Keyskills: Orchestration Snowflake Step Functions Athena Python Airflow Pyspark Aws Lambda Amazon Redshift Eventbridge Amazon Cloudwatch Aws Glue
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