- Design and implement data models that support flexible querying and data visualization.
- Partner with Product stakeholders to understand business questions and build out advanced analytical solutions.
- Advance automation efforts that help the team spend less time manipulating & validating data and more time analyzing.
- Build frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage.
- Participate in the creation and support of analytics development standards and best practices.
- Create systematic solutions for solving data anomalies: identifying, alerting, and root cause analysis.
- Work proactively with stakeholders to ready data solutions for new product and/or feature releases, with a keen eye for uncovering and troubleshooting any data quality issues or nuances.
- Identify and explore new opportunities through creative analytical and engineering methods.
- Bachelor's degree, MS or greater in a quantitative field of study (Computer/Data Science, Engineering, Mathematics, Statistics, etc.)
- 7+ years of relevant experience in business intelligence/data engineering
- Expertise in writing SQL (clean, fast code is a must) and in datawarehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL, and MPP databases
- Experience in transforming flawed/changing data into consistent, trustworthy datasets, and in developing DAGs to batchprocess millions of records
- Experience with generalpurpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats
- Experience with bigdata technologies (e.g. Spark, Kafka, Hive)
- Advanced ability to build reports and dashboards with BI tools (such as Looker and Tableau)
- Experience with analytics tools such as Athena, Redshift/BigQuery, Splunk, etc.
- Proficiency with Git (or similar version control) and CI/CD best practices
- Experience in managing workflows using Agile practices
- Ability to write clear, concise documentation and to communicate generally with a high degree of precision
- Ability to solve ambiguous problems independently
- Ability to manage multiple projects and time constraints simultaneously
- Care for the quality of the input data and how the processed data is ultimately interpreted and used
- Experience with digital products, streaming services, or subscription products is preferred
- Strong written and verbal communication skills
- Naturally inquisitive, critical thinker, proactive problemsolver, and detailoriented.
- Positive attitude and an open mind
- Strong organizational skills with the ability to act independently and responsibly
- Selfstarter, comfortable initiating projects from design to execution with minimal supervision
- Ability to manage and balance multiple (and sometimes competing) priorities in a fastpaced, complex business environment and can manage time effectively to consistently meet deadlines
- Team player and relationship builder
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Senior Data Engineer - Bangalore/Hyderabad, India - Info Services
Description
Job Responsibilities:
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