- Regional Role
- Work alongside & learn from best in class talent
- Great work environment
- Attractive salary & benefits
We are hiring for an analytics services company that help clients in retail, healthcare, CPG, telecom, F&B and internet domains with data-driven decision-making, and deliver high-impact solutions. Our solutions involve machine learning, NLP, data engineering and/or statistical modeling.
Role & Responsibilities:
- Create and maintain optimal data pipeline architecture ETL/ ELT into Structured data
- Assemble large, complex data sets that meet functional / non-functional business requirements and create and maintain Multi-Dimensional modeling like Star Schema and Snowflake Schema, normalization, de-normalization, joining of datasets.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Setup and maintain data ingestion, streaming, scheduling and job monitoring automation. Connectivity between Lambda, Glue, S3, Redshift, Power BI needs to be maintained for uninterrupted automation.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies like AWS and Google
- Build analytics tools that utilize the data pipeline to provide actionable insight into customer acquisition, operational efficiency, and other key business performance metrics
- Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
- Candidate must have 3-6 years of experience from a top tier college with a degree in a quantitative discipline
- Expert level experience creating Fact tables, Dimensional tables and ingest datasets into Cloud based tools. Job Scheduling, automation experience is must.
Data Engineering; Star Schema; NLP; Power Bi; Statistical Modeling; Big Data; ETL; Machine Learning; Analytics; SQL
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