Senior Data Engineer

lenovo

Bangalore 5 Years Exp Posted 1h ago

Job Description

  • As a Senior Data Engineer, you will be involved in data Lakehouse development including requirements gathering, database modeling, ETL job design & development, and dashboard/report development activities.
  • You will be working with the Customer Experience team to build and enhance a cloud-based warehouse of operational data to drive analytics.
  • You will be responsible for developing ETL/data pipelines using Talend, SQL, and Python, and ingesting data from various external sources into large MPP data warehouses such as Azure Synapse, Hive, Snowflake, or similar platforms.
  • You will frequently conduct data analysis, ingest data from various internal and external sources, write advanced SQL queries, and optimize data storage needed by business and executive operations.
  • You will partner with business stakeholders to analyze operational data, investigate trends, answer ad hoc business questions, and provide data-driven recommendations that support strategic and operational decision-making.
  • You will perform exploratory data analysis, validate data quality, identify anomalies, reconcile data across multiple sources, and translate business requirements into SQL-based analyses and actionable insights.
  • You will develop complex SQL queries to extract, profile, reconcile, and analyze large datasets, helping stakeholders understand business performance, customer behavior, operational metrics, and data quality issues.
  • You will enable daily business activities by providing the foundation for all federated querying and analysis produced by the BI and Data Science teams.
  • You will collaborate closely with Product Managers, Business Analysts, BI Developers, and Data Scientists to ensure data is accurate, reliable, and optimized for reporting, advanced analytics, and machine learning initiatives.
    • You will have the opportunity to work with modern data stack components and continuously grow by learning new tools and technologies in a collaborative, data-driven environment.

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