Staff Analytics Engineer - Data Analytics Team, Hyderabad

Advance automation efforts that help the team spend less time manipulating and validating data and more time analyzing.

Build frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage.

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.

Create new or optimize existing analytics development standards and best practices.

Mentor and provide guidance to junior data analytics engineers on the team.

Bachelor's degree, MS, or greater in a quantitative field of study (Computer/Data Science, Engineering, Mathematics, Statistics, etc.).

6+ years of relevant experience in business intelligence / data engineering.

Expertise in writing SQL (clean, fast code is a must) and in data-warehousing concepts such as star schemas, slowly changing dimensions, and ELT/ETL.

Experience in transforming flawed/changing data into consistent, trustworthy datasets, and in developing DAGs to batch-process millions of records.

Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats.

Experience with big-data technologies (e.g. Spark, Kafka, Hive).

Advanced ability to build reports and dashboards with BI tools (such as Looker and Tableau).

Proficiency with Git (or similar version control) and CI/CD best practices.

Experience managing workflows using Agile practices.

Expertise in writing clear, concise documentation and communicating with a high degree of precision.

Ability to solve ambiguous problems independently and 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.

Strong written and verbal communication skills, and strong organizational skills with the ability to act independently and responsibly.

Team player and relationship builder.

Experience with OLAP databases such as Snowflake or Redshift.

Experience with dbt or similar transformation and semantic-layer frameworks.

Experience with digital products, streaming services, or subscription products.

Experience with cloud data platforms such as Databricks.

Equal opportunity employer

Fast track growth opportunities

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

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