𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟯𝟬-𝟱𝟬 𝗟𝗣𝗔)
Experience: 5+ yrs
Location: Mumbai
As a Data Engineer Analyst, you will design, develop, and maintain robust data pipelines that transform raw data into actionable insights for stakeholders across the organization. Leveraging your expertise in SQL, Python, and cloud platforms, you will integrate large datasets into Snowflake environments, ensuring data quality and security while optimizing performance for real-time analytics. Your role involves collaborating with data scientists and business analysts to translate complex requirements into scalable, reusable data models that support advanced reporting and visualization tools like Tableau and Power BI. You will continually evaluate emerging technologies, recommend architecture improvements, and champion best practices in data engineering to drive efficiency and innovation.
Requirements
𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀
• Design and implement scalable data pipelines using SQL and Python on AWS services such as Lambda, Glue, and EMR.
• Manage and optimize Snowflake data warehousing solutions, ensuring high availability and performance.
• Build and maintain interactive dashboards and reports in Tableau and Power BI, translating business requirements into visual stories.
• Develop ETL scripts and data transformation logic to clean, enrich, and consolidate data from disparate sources.
• Implement data governance, security, and compliance frameworks across the data lifecycle.
• Monitor and troubleshoot data workflows, ensuring timely resolution of pipeline failures and performance bottlenecks.
• Collaborate with cross-functional teams to define data models, metadata, and documentation standards.
• Optimize SQL queries and Snowflake schemas for cost efficiency and rapid query response.
• Automate reporting processes and schedule data refreshes to support business-critical decision making.
• Provide mentorship and knowledge sharing to junior data engineers and analysts on best practices and emerging technologies.
𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗬𝗼𝘂 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁
• 5+ years of experience in data engineering, with proven expertise in Snowflake, AWS, and SQL.
• Strong proficiency in Python for data manipulation, scripting, and automation.
• Demonstrated experience building and maintaining dashboards in Tableau and Power BI.
• In-depth knowledge of data modeling, indexing, and query optimization techniques.
• Familiarity with CI/CD pipelines, version control, and collaboration tools such as Git.
• Excellent problem-solving skills and the ability to translate complex technical concepts to non-technical stakeholders.
• Experience with data governance, security compliance, and privacy regulations (GDPR, CCPA).
• Ability to work independently and manage multiple projects in a fast-paced environment.
• Strong communication skills, both written and verbal, in English; knowledge of Hindi is a plus.
• A proactive mindset, continuous learning attitude, and passion for leveraging data to drive business value.
Skills Required
- 5+ years of experience in data engineering
- Expertise in Snowflake, AWS, and SQL
- Strong proficiency in Python for data manipulation, scripting, and automation
- Experience building and maintaining dashboards in Tableau and Power BI
- Knowledge of data modeling, indexing, and query optimization techniques
- Familiarity with CI/CD pipelines, version control, and collaboration tools such as Git
- Problem-solving skills and ability to explain technical concepts to non-technical stakeholders
- Experience with data governance, security compliance, and privacy regulations including GDPR and CCPA
- Ability to work independently and manage multiple projects in a fast-paced environment
- Strong written and verbal English communication skills
- Knowledge of Hindi
- Proactive mindset, continuous learning attitude, and passion for leveraging data
What We Do
Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.
