4+ Looker Jobs in Bangalore (Bengaluru) | Looker Job openings in Bangalore (Bengaluru)

Review Criteria

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

• Preferred (Nice-to-have) – Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Job Specific Criteria

• CV Attachment is mandatory
• How many years of experience you have with Dremio?
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate

• Bachelor’s or master’s in computer science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Senior BI Engineer

📍 Location: BHive Bangalore, India

💼 Department: Technology – Data

🚀 Experience Level: Senior

About the Role

Mumzworld is scaling fast, and data is central to our success.

We are looking for a Senior BI Analyst to join our data team and help drive business insights, storytelling, and decision-making through high-quality analytics and reporting.

This is a high-impact role, reporting directly to the Head of Data, and working cross-functionally with business teams, product managers, and engineers to transform data into actionable intelligence.

You will not only deliver robust dashboards and deep-dive analyses but also help define metrics, improve data literacy across the company, and ensure that our analytics layer is consistent, trusted, and scalable.

You will also leverage Generative AI tools to boost productivity, streamline reporting workflows, and enhance collaboration.

Key Responsibilities

• Deliver Impactful Insights

Build, maintain, and optimize dashboards, reports, and deep-dive analyses to support critical business decisions.

• Create Impact Dashboards with Storytelling

Design dashboards that not only show data but tell a clear story — highlighting insights, business implications, and actions.

• Define and Standardize Metrics

Work closely with stakeholders to define KPIs and ensure consistency in metrics across business domains.

• Model for Analytics Needs

Collaborate with data engineers and modelers to ensure data structures (in bronze, silver, gold layers) are optimized for reporting and analytical needs following medallion architecture principles.

• Drive Business Conversations

Translate business questions into clear analytical deliverables; turn data findings into actionable insights and business narratives.

• Ensure Data Quality & Trust

Validate data accuracy and drive initiatives to improve data reliability across all reports and dashboards.

• Leverage Gen AI for Productivity

Promote the use of Generative AI tools to accelerate report building, automate documentation, and summarize insights faster.

• Advance Data-Driven Culture

Conduct workshops, share knowledge, and uplift the organization’s data literacy and self-service capabilities.

• Support Data Science Projects

Partner with the data science team to ensure BI foundations support predictive models, experimentation, and advanced analytics initiatives.

What We’re Looking For

• 5+ years of experience in business intelligence, data analysis, or analytics roles.
• Expertise in BI tools like Looker, Power BI, or Tableau.
• Strong SQL skills to extract, transform, and analyze large datasets.
• Solid understanding of data modeling principles (especially star schema and medallion architecture).
• Understanding of incremental load vs full load strategies, and a passion for building your own scheduled queries and data refreshes.
• Experience working with cloud data warehouses like BigQuery or Snowflake.
• Strong business acumen with the ability to translate data into business value.
• Experience building self-service datasets, semantic layers, or LookML models is a plus.
• Excellent communication skills — able to present complex findings in a clear and actionable way.

Nice-to-Have

📅 E-commerce experience – Familiarity with product, customer, and order data structures.

🤖 Experience with dbt Cloud and modern analytics stacks.

📈 Exposure to data governance, catalogs, or metadata management tools.

🖥️ Experience with GitHub for version control in analytics workflows.

🌐 Understanding of privacy, GDPR, and data compliance best practices.

Who You Are – Soft Skills & Personality

We’re looking for a curious, business-savvy, and detail-driven BI analyst who thrives in a fast-paced, collaborative environment.

👤 Structured & Organized – You design with clarity, document your work well, and maintain consistency across reports and analyses.

💬 Collaborative Communicator – You work well with both technical and business stakeholders.

🚀 Results-Oriented – You focus on delivering impactful insights that drive business outcomes.

🧬 Analytical & Curious – You dig deep into data, question assumptions, and continuously look for improvement opportunities.

🤝 Team Player – You support, teach, and uplift others across the organization.

If you’re passionate about turning data into impact, scaling analytics, and building a data-driven culture, we’d love to hear from you.

• Own the product analytics of bidgely’s end user-facing products, measure and identify areas of improvement through data
• Liaise with Product Managers and Business Leaders to understand the product issues, priorities and hence support them through relevant product analytics
• Own the automation of product analytics through good SQL knowledge
• Develop early warning metrics for production and highlight issues and breakdowns for resolution
• Resolve client escalations and concerns regarding key business metrics
• Define and own execution
• Own the Energy Efficiency program designs, dashboard development, and monitoring of existing Energy efficiency program
• Deliver data-backed analysis and statistically proven solutions
• Research and implement best practices
• Mentor team of analysts

• B.Tech from a premier institute with 5+ years analytics experience or Full-time MBA from a premier b-school with 3+ years of experience in analytics/business or product analytics
• Bachelor's degree in Business, Computer Science, Computer Information Systems, Engineering, Mathematics, or other business/analytical disciplines

• Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause
  analyses
• Excellent understanding of retention, churn, and acquisition of user base
• Ability to employ statistics and anomaly detection techniques for data-driven
  analytics
• Ability to put yourself in the shoes of the end customer and understand what
  “product excellence” means
• Ability to rethink existing products and use analytics to identify new features and product improvements.
• Ability to rethink existing processes and design new processes for more effective analyses
• Strong SQL knowledge, working experience with Looker and Tableau a great plus
• Strong commitment to quality visible in the thoroughness of analysis and techniques employed
• Strong project management and leadership skills
• Excellent communication (oral and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
• Ability to coach and mentor analysts on technical and analytical skills
• Good knowledge of statistics, basic machine learning, and AB Testing is
  preferable
• Experience as a Growth hacker and/or in Product analytics is a big plus