2+ Data marts Jobs in India

About Us

We are a high-growth startup building products at scale that impact millions of users daily. As we prepare for the next phase of growth, data will be at the heart of every decision — powering product, marketing, operations, and finance. We are looking for a Director of Analytics to lead the charge in shaping our data strategy, building scalable infrastructure, and creating a high-performing analytics organization.

Role & Responsibilities

As the Director of Analytics, you will:

• Lead the next generation of our Data Mart: Redesign and optimize data models to support large-scale analytics and faster decision-making.
• Define the tools & frameworks for data creation, transformation, and consumption across the company.
• Build unified data views: Integrate behavioral and transactional data into structured, query-optimized flat tables that support diverse analytics use cases.
• Own analytics across mobile, web, marketing, product, and operations data streams, ensuring consistent data definitions and scalability.
• Partner with product, marketing, CRM, operations, and finance teams to ensure data is democratized and actionable.
• Establish data governance, quality standards, and best practices for the org.
• Drive adoption of self-service analytics and empower teams with the right dashboards, reporting, and insights.
• Introduce and scale ML-driven insights: Collaborate with product and engineering to enable use cases like personalization, predictive modeling, and anomaly detection.
• Build and mentor a cross-functional analytics team spanning business/operations analytics, marketing/CRM analytics, and product/finance analytics.
• Partner with engineering leadership to ensure scalability, reliability, and efficiency of the data infrastructure.

What We’re Looking For

• Experience: 8+ years in data & analytics leadership, with proven success in building data marts and defining enterprise-wide data consumption strategies.
• Strong track record of running analytics across mobile, web, marketing, product, and operations data ecosystems.
• Deep technical expertise in data modeling, flat table structures, and query optimization for large-scale systems.
• Hands-on experience with both behavioral and transactional data, and integrating them into a single analytics layer.
• Strong knowledge of modern data stack (SQL, ETL/ELT, cloud data warehouses like Snowflake/BigQuery/Redshift, BI tools like Looker/PowerBI/Tableau).
• ML Competency: Familiarity with machine learning workflows (data pipelines for ML, feature engineering, model monitoring) and ability to guide data scientists in building predictive/ML models.
• Proven ability to build and scale analytics teams, with experience in functions such as business/operations, marketing/CRM, and product/finance analytics.
• Strong business acumen — ability to translate data into actionable insights for growth, retention, and efficiency.
• Excellent stakeholder management and communication skills, comfortable influencing at the CXO level.

KPIs / Success Metrics

Success in this role will be measured by:

• Data Infrastructure & Scale
• Launch of next-gen data mart within defined timelines.
• Reduction in data processing and reporting times (e.g., <5 mins refresh for key dashboards).
• Uptime and reliability of data pipelines and consumption layers.
• Adoption & Impact
• % of org actively using self-service analytics tools.
• Increase in cross-team usage of standardized data views (product, marketing, finance, operations).
• Reduction in ad-hoc analytics requests due to robust self-service solutions.
• Data Quality & Governance
• % improvement in data accuracy and consistency across sources.
• Establishment and adoption of data governance frameworks.
• Team & Leadership
• Successful hiring and scaling of a multi-disciplinary analytics team.
• Retention and growth of top talent within the analytics function.

Why Join Us?

• Opportunity to own the analytics vision of a company that is scaling rapidly.
• Build the next-gen data mart and analytics layer from scratch — a rare chance to define the foundation for years to come.
• Work on high-volume, high-velocity data across mobile, web, marketing, product, and operations.
• High visibility role, directly collaborating with founders and leadership.
• Build a world-class analytics team and shape the culture of data-driven decision-making

JOB DETAILS:

* Job Title: Associate III - Data Engineering

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 4-6 years

* Location: Trivandrum, Kochi

Job Description

Job Title:

Data Services Engineer – AWS & Snowflake

Job Summary:

As a Data Services Engineer, you will be responsible for designing, developing, and maintaining robust data solutions using AWS cloud services and Snowflake.

You will work closely with cross-functional teams to ensure data is accessible, secure, and optimized for performance.

Your role will involve implementing scalable data pipelines, managing data integration, and supporting analytics initiatives.

Responsibilities:

• Design and implement scalable and secure data pipelines on AWS and Snowflake (Star/Snowflake schema)

• Optimize query performance using clustering keys, materialized views, and caching

• Develop and maintain Snowflake data warehouses and data marts.

• Build and maintain ETL/ELT workflows using Snowflake-native features (Snowpipe, Streams, Tasks).

• Integrate Snowflake with cloud platforms (AWS, Azure, GCP) and third-party tools (Airflow, dbt, Informatica)

• Utilize Snowpark and Python/Java for complex transformations

• Implement RBAC, data masking, and row-level security.

• Optimize data storage and retrieval for performance and cost-efficiency.

• Collaborate with stakeholders to gather data requirements and deliver solutions.

• Ensure data quality, governance, and compliance with industry standards.

• Monitor, troubleshoot, and resolve data pipeline and performance issues.

• Document data architecture, processes, and best practices.

• Support data migration and integration from various sources.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

• 3 to 4 years of hands-on experience in data engineering or data services.

• Proven experience with AWS data services (e.g., S3, Glue, Redshift, Lambda).

• Strong expertise in Snowflake architecture, development, and optimization.

• Proficiency in SQL and Python for data manipulation and scripting.

• Solid understanding of ETL/ELT processes and data modeling.

• Experience with data integration tools and orchestration frameworks.

• Excellent analytical, problem-solving, and communication skills.

Preferred Skills:

• AWS Glue, AWS Lambda, Amazon Redshift

• Snowflake Data Warehouse

• SQL & Python

Skills: Aws Lambda, AWS Glue, Amazon Redshift, Snowflake Data Warehouse

Must-Haves

AWS data services (4-6 years), Snowflake architecture (4-6 years), SQL (proficient), Python (proficient), ETL/ELT processes (solid understanding)

Skills: AWS, AWS lambda, Snowflake, Data engineering, Snowpipe, Data integration tools, orchestration framework

Relevant 4 - 6 Years

python is mandatory

******

Notice period - 0 to 15 days only (Feb joiners’ profiles only)

Location: Kochi

F2F Interview 7th Feb