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The Role
● We are building AI-powered analytics solutions that help our Marketing, Sales,
Operations, Finance, and HR teams make faster and better decisions.
● As a Senior Analytics Engineer, you will be a hands-on Individual Contributor
responsible for building analytics datasets, maintaining data pipelines, and developing
AI-powered analyst agents. You will work closely with business stakeholders to
automate insights, improve reporting, and enable conversational analytics using modern
AI technologies.
Key Responsibilities
● Build and maintain analytics datasets and data pipelines that power dashboards and AI
applications.
● Design and develop AI Analyst Agents capable of answering business questions and
generating actionable insights.
● Work closely with business teams to understand requirements and translate them into
scalable analytics solutions.
● Build and maintain scalable analytics datasets, reporting tables, business metrics, and
dashboards while ensuring high standards of data quality, reliability, and performance.
● Optimize SQL queries, automate recurring analytical workflows, and contribute to
continuously enhancing our AI-powered analytics platform and self-service reporting
capabilities.
Requirements
● 2-4 years of experience in Analytics Engineering, Business Intelligence, Data Analytics,
or Data Engineering.
● Degree from premier engineering institute will be preferred (NIT, IIT)
● Strong hands-on experience with SQL and Python. Experience working with at least
one BI tool (Tableau, Power BI, Metabase, etc.).
● Experience building analytics datasets and ETL/ELT pipelines.
● Hands-on experience developing LLM-powered applications or AI agents using
frameworks such as LangChain, LangGraph, OpenAI SDK, or similar.
● Strong analytical thinking and business problem-solving skills. Ability to work
independently and collaborate with cross-functional stakeholders.
● Good to have: Familiarity with MCP (Model Context Protocol) tools and AI integrations.
Job ID: 151741629
Skills:
snowflake , Flask, Sql, FastAPI, Python, Docker, Spark, Airflow, dbt
Skills:
Power Bi, Pyspark, Databricks, Tableau, Python, Sql, Delta lakehouse environments
Skills:
Spark SQL, Distributed Computing, Pyspark, Data Warehousing, Apache Spark, ELT, Gcp, Databricks, Azure, AWS, Etl, Delta Lake
Skills:
snowflake , Perl, DataStage, AWS Glue, Shell scripting, Informatica, Data Warehousing, Sql, Python, Etl, Fivetran

Skills:
Pyspark, Scala, Apache Spark, Kafka, Sql, Tensorflow, MLops, Pytorch, Docker, XGBoost, Kubernetes, Python, LightGBM