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๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฏ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฏ๐ฌ-๐ฑ๐ฌ ๐๐ฃ๐)
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
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โขDesign and implement scalable data pipelines using SQL and Python on AWS services such as Lambda, Glue, and EMR.
โขManage and optimize Snowflake data warehousing solutions, ensuring high availability and performance.
โขBuild and maintain interactive dashboards and reports in Tableau and Power BI, translating business requirements into visual stories.
โขDevelop ETL scripts and data transformation logic to clean, enrich, and consolidate data from disparate sources.
โขImplement data governance, security, and compliance frameworks across the data lifecycle.
โขMonitor and troubleshoot data workflows, ensuring timely resolution of pipeline failures and performance bottlenecks.
โขCollaborate with cross-functional teams to define data models, metadata, and documentation standards.
โขOptimize SQL queries and Snowflake schemas for cost efficiency and rapid query response.
โขAutomate reporting processes and schedule data refreshes to support business-critical decision making.
โขProvide mentorship and knowledge sharing to junior data engineers and analysts on best practices and emerging technologies.
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โข5+ years of experience in data engineering, with proven expertise in Snowflake, AWS, and SQL.
โขStrong proficiency in Python for data manipulation, scripting, and automation.
โขDemonstrated experience building and maintaining dashboards in Tableau and Power BI.
โขIn-depth knowledge of data modeling, indexing, and query optimization techniques.
โขFamiliarity with CI/CD pipelines, version control, and collaboration tools such as Git.
โขExcellent problem-solving skills and the ability to translate complex technical concepts to non-technical stakeholders.
โขExperience with data governance, security compliance, and privacy regulations (GDPR, CCPA).
โขAbility to work independently and manage multiple projects in a fast-paced environment.
โขStrong communication skills, both written and verbal, in English; knowledge of Hindi is a plus.
โขA proactive mindset, continuous learning attitude, and passion for leveraging data to drive business value.