Hiring "Analytics Engineer"- Noida. 3-6 years of experience. . Must be from IT Services & Consulting
Note: Looking for immediate Joiners.
- Please read the job description carefully before applying to ensure you meet all the mandatory criteria.
Note: To facilitate a smooth hiring process, please ensure that your current CTC is aligned with the budget we have set for this role.
Required Skills: Data Visualization, Strong in Python and SQL, DBT, Data Modeling
CTC: ₹22-24 LPA
Work Mode: Onsite- 5 days working
Age Criteria: Must not be over 35 years old
Mandatory Criteria:
- Must have 4–8 years of experience in Analytics, Business Intelligence (BI), or Data Engineering, preferably from
- Must have strong hands-on expertise in SQL, capable of writing clean and optimized queries with a deep understanding of Data Warehousing concepts including Star Schema, Fact/Dimension models, Slowly Changing Dimensions (SCD), ETL/ELT processes, and MPP Databases (Redshift/BigQuery or similar).
- Must have hands-on experience with dbt for data transformations and building scalable data pipelines/DAGs for batch processing of large datasets (millions of rows).
- Must be proficient in Python with a strong understanding of data modeling, semantic layer design, and cloud data tools such as Amazon Athena, Redshift, or BigQuery.
- Must have experience working with analytics or logging platforms, along with strong dashboarding and reporting skills using Looker or Tableau.
- Must have proficiency in Git and CI/CD workflows, and hands-on experience in Agile product teams with excellent documentation and communication skills.
Job Summary:
As an Analytics Engineer, you will lead data pipeline, data strategy, and data visualization initiatives for the Data & Analytics organization at STAGE.
You’re an engineer who not only understands how to leverage big data to answer complex business questions, but also how to design semantic layers to support self-service analytics.
You will manage projects from requirements gathering to planning to implementation of full-stack data solutions (pipelines → data tables → visualizations).
You will work closely with cross-functional partners to ensure business logic is accurately represented in the semantic layer and production environments, empowering the wider Product Analytics team to drive business insights and strategy.
What Will You Do?
- Design and implement data models that support flexible querying and data visualization.
- Partner with Product stakeholders to understand business questions and build advanced analytical solutions.
- Advance automation efforts to reduce time spent on data manipulation and increase time for analysis.
- Build frameworks that enhance team productivity and are intuitive for other data teams to leverage.
- Establish and support analytics development standards and best practices.
- Create systematic solutions for solving data anomalies: identifying, alerting, and root cause analysis.
- Collaborate proactively with stakeholders to prepare data solutions for new product/feature releases, ensuring data quality and addressing any nuances.
- Identify and explore new opportunities through creative analytical and engineering methods.
What To Bring:
- Bachelor’s degree in Engineering
- 4–8 years of relevant experience in Business Intelligence / Data Engineering
- Expertise in SQL (clean, efficient code is essential) and strong grasp of data warehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL, and MPP databases
- Hands-on experience with DBT for building transformations
- Proven ability in transforming flawed or changing data into consistent, trustworthy datasets, and developing DAGs to batch-process large data volumes
- Experience with general-purpose programming languages (e.g., Python, Java, Go) and familiarity with data structures, algorithms, and serialization formats
- Advanced proficiency in building reports and dashboards with BI tools such as Looker and Tableau
- Experience with analytics tools such as Athena, Redshift/BigQuery, Splunk, etc.
- Proficiency in Git (or similar version control systems) and CI/CD best practices
- Experience managing workflows using Agile practices
- Excellent documentation and communication skills, with a high degree of precision
- Strong problem-solving skills and ability to work independently on ambiguous challenges
- Ability to manage multiple projects and time constraints effectively
- Attention to data quality — ensuring processed data is interpreted and used correctly
- Experience with digital products, streaming services, or subscription-based products is preferred
- Strong written and verbal communication skills
Job Types: Full-time, Permanent
Pay: ₹2,200,000.00 - ₹2,400,000.00 per year
Application Question(s):
- Do you have 4–8 years of experience in Analytics, Business Intelligence (BI), or Data Engineering, preferably from Growing Startups or Product-based companies?
- Do you have strong hands-on expertise in SQL, capable of writing clean and optimized queries with a deep understanding of Data Warehousing concepts including Star Schema, Fact/Dimension models, Slowly Changing Dimensions (SCD), ETL/ELT processes, and MPP Databases (Redshift/BigQuery or similar)?
- Do you have hands-on experience with DBT for data transformations and building scalable data pipelines/DAGs for batch processing of large datasets (millions of rows)?
- Do you have proficiency in Python with a strong understanding of data modeling, semantic layer design, and cloud data tools such as Amazon Athena, Redshift, or BigQuery?
- Do you have experience working with analytics or logging platforms, along with strong dashboarding and reporting skills using Looker or Tableau?
- Do you have proficiency in Git and CI/CD workflows, and hands-on experience in Agile product teams with excellent documentation and communication skills?
Work Location: In person
