Analytics Engineer

11 Hours ago • 4-8 Years

Job Summary

Job Description

As an Analytics Engineer at STAGE, you will be responsible for leading data pipeline, data strategy, and data visualization efforts. You will design and implement data models to support flexible querying and data visualization. You will collaborate with stakeholders to understand business questions and build analytical solutions, automate data manipulation and validation processes, and create frameworks to increase team productivity. You will also be involved in creating and supporting analytics development standards, solving data anomalies, and preparing data solutions for new product releases. This role requires you to identify and explore new opportunities through analytical and engineering methods. You will be working with cross functional teams to ensure that business logic is properly represented in the semantic layer and production environments.
Must have:
  • Expertise in writing SQL
  • Experience in using dbt
  • Experience in transforming flawed/changing data
  • Experience with general-purpose programming
  • Ability to build reports and dashboards with BI tools
  • Experience with analytics tools
  • Proficiency with Git and CI/CD
  • Experience in managing workflows using Agile practices
  • Bachelor's degree in Engineering
  • dbt, Snowflake
Good to have:
  • Airflow
  • Dimension Modelling
  • Star Schema
  • Kimball Warehouse
  • Facts and Dimensions
  • Data-bricks
  • Reverse ETL
  • Looker

Job Details

Overview


As a Analytics Engineer, you will lead data pipeline, data strategy, and data visualization-related efforts for the Data & Analytics organization at STAGE. You’re an engineer who not only understands how to use big data in answering complex business questions but also how to design semantic layers to best support self-service vehicles. You will manage projects from requirements gathering to planning to implementation of full-stack data solutions (pipelines to data tables to visualisations). You will work closely with cross-functional partners to ensure that business logic is properly represented in the semantic layer and production environments, where it can be used by the wider Product Analytics team to drive business insights and strategy.

Responsibilities


  • Design and implement data models that support flexible querying and data visualisation.

  • 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 analysing.

  • 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.

Requirements


  • Bachelor's degree in Engineering

  • 4-8 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, ELT/ETL, and MPP databases

  • Experience in using dbt to build transformations.

  • 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 serialisation formats

  • 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


Must Have


dbt, Snowflake

Good To Have


Airflow, Dimension Modelling, Star Schema, Kimball Warehouse, Facts and Dimensions, Data-bricks, Reverse ETL, Looker


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About The Company

STAGE is India’s Premier Entertainment Platform for Regional Cultures. Experience the vibrant and diverse cultures of India with our extensive library of original stories in shows and movies in Haryanvi, Rajasthani, and Bhojpuri. As a multi-cultural-award-winning platform, we’re committed to bringing you the best in regional entertainment, stories from heartland delivered to your phone.

Noida, Uttar Pradesh, India (On-Site)

Noida, Uttar Pradesh, India (On-Site)

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