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Experienced Full Stack Data Modeler – Web & Cloud Application Development at blithequark

Remote Full-time Live

Are you a data enthusiast with a passion for shaping the future of retail? Do you have a knack for creating innovative data models that drive business growth and customer satisfaction? If so, we invite you to join blithequark's Data Engineering team as a Senior Data Modeler – Data Ventures. As a key member of our team, you will play a vital role in designing, developing, and maintaining data models that unlock actionable insights and drive business decisions.

About blithequark

At blithequark, we're on a mission to revolutionize the retail industry through innovative technology and data-driven insights. Our Data Engineering team is at the forefront of this revolution, working tirelessly to build pipelines and data lakes that prepare big data for analysis and unlock actionable insights in real-time. We're a team of passionate individuals who are driven by a shared vision of creating a better future for our customers and communities.

What You'll Do

As a Senior Data Modeler – Data Ventures, you will be responsible for designing, developing, and maintaining data models that support our business growth and customer satisfaction goals. Your key responsibilities will include:

  • Working with the Application Development team to implement data strategies, build data flows, and develop conceptual data models
  • Creating logical and physical data models using best practices to ensure high data quality and support application, batch, and interactive use cases
  • Creating, optimizing, and updating logical and physical data models to support new and existing projects according to company standards
  • Creating data modeling solutions optimized for relational, dimensional, and NoSQL databases
  • Maintaining conceptual, logical, and physical data models along with corresponding metadata
  • Developing best practices for standard naming conventions and coding practices to ensure consistency of data models
  • Recommending opportunities for reuse of data models in new environments
  • Performing reverse engineering of physical data models from databases and SQL scripts
  • Evaluating data models and physical databases for variances and discrepancies
  • Validating business data objects for accuracy and completeness
  • Analyzing data-related system integration challenges and proposing appropriate solutions
  • Guiding System Analysts, Engineers, Programmers, and others on project limitations and capabilities, performance requirements, and interfaces
  • Reviewing modifications to existing software to improve efficiency and performance
  • Examining new application design and recommending corrections if required

What You'll Bring

To succeed in this role, you will need to bring the following qualifications and skills:

  • Good academic record and graduated (B.E/ B.Tech / M.E / M.Tech/ MBA)
  • At least 10+ years of hand-on data warehousing experience
  • Strong knowledge of different data modeling techniques for data warehousing – 3NF, Dimensional, hybrid, etc.
  • Experience working on large (100 TB+) scale data warehouses (DW)/ operational data stores (ODS)
  • Significant experience in building data models for MPP, Relational, and NoSQL technologies such as BigData, Hive, SQL*Server, Hadoop, Cassandra, Cloud DBs like Big Query and/or Snowflake
  • Good experience of working with globally distributed teams in a collaborative and productive manner
  • Excellent interpersonal and communication skills across a variety of stakeholders, ability to negotiate with and influence others

About Our Team

Our Data Engineering team is a dynamic and collaborative group of individuals who are passionate about creating innovative data solutions. We work closely with cross-functional teams to design, develop, and deploy data-driven insights that drive business growth and customer satisfaction. Our team is committed to delivering high-quality results and is always looking for ways to improve our processes and technologies.

Work Environment and Culture

At blithequark, we believe in creating a work environment that is inclusive, diverse, and supportive. Our team is committed to fostering a culture of innovation, collaboration, and continuous learning. We offer a range of benefits and perks, including:

  • Competitive salary and bonus structure
  • Comprehensive health insurance and wellness programs
  • Paid time off and holidays
  • Professional development opportunities and training programs
  • Collaborative and dynamic work environment
  • Flexible work arrangements and remote work options

How to Apply

If you're a motivated and experienced data professional who is passionate about shaping the future of retail, we invite you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant documents to the link below. Apply Job!

Equal Opportunity Employer

blithequark is an Equal Opportunity Employer – By Choice. We believe that diversity and inclusion are essential to creating a better future for our customers and communities. We welcome applications from individuals of all backgrounds, experiences, and perspectives.

Minimum Qualifications

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

  • Option 1: Bachelor's degree in Computer Science or related field and 3 years' experience in data modeling, data analytics, data warehouse, software engineering, or related field.
  • Option 2: 5 years' experience in data modeling, data analytics, data warehouse, software engineering, or related field.
  • Option 3: Master's degree in Computer Science or related field and 1 year's experience in data modeling, data analytics, data warehouse, software engineering, or related field.

Preferred Qualifications

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

  • Data Modeling, Master's degree in Computer Engineering, Computer Science, Information Systems, Relevant industry experience (for example, retail, supply chain, eCommerce, healthcare, etc.)

About blithequark

At blithequark, we're on a mission to revolutionize the retail industry through innovative technology and data-driven insights. Our Data Engineering team is at the forefront of this revolution, working tirelessly to build pipelines and data lakes that prepare big data for analysis and unlock actionable insights in real-time. We're a team of passionate individuals who are driven by a shared vision of creating a better future for our customers and communities.

What are you waiting for?

Join us at blithequark and be part of a team that is shaping the future of retail. Apply now and take the first step towards an exciting and rewarding career in data engineering. Apply for this job

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