Senior Data Engineer

eClerx

6 - 11 years

30 - 40 Lacs

pune mumbai (all areas)

Posted:1 hour ago| Platform:

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Skills Required

looker data engineering snowflake sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

Deep dive into existing data sources,
business requirements

for Sales, Marketing, CS teams
and current infrastructure
Architect Blueprint for Data Warehouse & BI Layer/BI Data sources.
Lead the design and architecture of scalable sales funnel, rep performance, and Net Revenue Retention (NRR) dashboards, ensuring robust, reliable, and performant data models.
Responsible for Data integration across Bus, Data modelling & warehouse design
Work with BI Visualizations team for reporting & dashboards in
Looker
Define and translate complex business requirements into technical specifications and scalable data solutions.
Develop and optimize
BigQuery / SQL
queries and data pipelines for
Snowflake
data warehouse integration, ensuring data accuracy and efficiency.
Lead data validation, reconciliation, and governance processes to maintain data integrity across multiple sources.
Manage weekly reporting cadence and develop operational dashboards for business performance tracking.
Conduct in-depth, ad-hoc analysis to identify trends, hotspots, and drivers impacting revenue and sales performance.
Document data architecture, SQL queries, dashboard logic, and reporting processes to ensure transparency and scalability.
Collaborate closely with data engineers and cross-functional teams to optimize ETL processes and data warehouse design.
Mentor junior analysts and BI developers, fostering best practices in data architecture and analysis.
Influence and partner with stakeholders to drive data-driven decision-making across the organization.

Required Skills & Experience:

7+ years of experience in data analytics, business intelligence, or data engineering roles.
Expertise in SQL and advanced query optimization techniques.
Extensive experience with Snowflake data warehouse and its architecture.
Strong familiarity with Google Cloud Platform (GCP
) services and architecture.
Demonstrated experience in designing scalable, maintainable data models and ETL pipelines.
Strong analytical mindset with proven ability to translate business needs into technical solutions.
Excellent stakeholder management, communication, and leadership skills.
Experience mentoring junior team members and driving team best practices.

Good to have proficiency in Looker for dashboard creation and data visualization.

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