Looking for associate product software engineer that will help us to maintain accurate data into data warehouse using multiple technologies and also help in providing data insights by building visualization/dashboards. You will also be working closely with data science team to build data pipe lines for various projects.
Responsibilities
Analyze data using state-of-the-art methods.
Build and maintain ETL jobs to keep data up to date in data warehouse from various sources like Strems, RDBMS, Salesforce, flat files, json files, DynamoDb etc.
Create and maintain data APIs in AWS cloud.
Create and maintain visualization/dashboards on variety of data using visualization tool.
Provide insights to business by analyzing complex data.
Assist data scientist in building data pipe lines.
Processing, cleansing, and verifying the integrity of data used for analysis.
Doing ad-hoc analysis and presenting results in a clear manner.
Work with business users and internal resources to define and refine requirements.
Skills and Qualifications
Bachelor’s Degree in Computer Science or equivalent.
Overall upto 1 year of experience.
Experience in AWS or Azure Cloud.
Experience of writing and debugging SQLs.
Experience of working on Python will be highly preferred.
Experience in Talend ETL tool will be preferred.
Experience in Tableau or Power BI visualization tool will be desirable.
Experience of transforming complex data structures like json, xml files will be preferred.
Experience of working on AWS platform like S3, Redshift data warehouse will be preferred.
Ability to learn and build competencies in new tools whenever required.
Ability to explain and defend his/her ideas and analysis, while still able to understand the merits of others’ opinions.
Strong analytical and problem-solving skills.
Excellent verbal & written communication skills.
Highly motivated, organized, proactive self-starter and a team player.
Data-oriented personality.