Technical Lead

Job description

Data Engineer – Pune (Work from Office) SQL, Python, AWS, and Databricks. Responsibilities Design, develop, and maintain scalable data pipelines to ingest, process, transform, and curate data from multiple enterprise and eCommerce data sources. Build and support ELT/ETL workflows using AWS, Databricks, dbt, Spark, Python, and SQL. Develop and maintain reliable, reusable, and high-quality data products supporting reporting, analytics, and business intelligence initiatives. Implement data transformation and modelling solutions aligned with Medallion Architecture principles. Collaborate with business stakeholders, analysts, and product teams to translate requirements into scalable technical solutions. Perform data profiling, validation, reconciliation, and quality monitoring. Support analytical and reporting solutions by preparing datasets for Power BI and other reporting tools. Troubleshoot pipeline failures, performance bottlenecks, and data quality issues. Partner with engineering and business teams to deliver scalable solutions aligned with enterprise architecture, security, and governance standards. Required Skills 4+ years of experience as a Data Engineer. Strong proficiency in SQL, Python, AWS, and Databricks. Hands-on experience with Apache Spark, dbt, ETL/ELT development, and data modelling. Experience with data warehousing, Medallion Architecture, Power BI, and modern data platforms. Understanding of data quality, governance, metadata management, lineage, CI/CD, and deployment processes. Strong analytical, problem-solving, collaboration, and communication skills. Desired Skills Experience with eCommerce or digital commerce data. Exposure to Scala, Machine Learning, AI-driven solutions, and real-time/streaming architectures. Experience with cloud-native data engineering architectures and Agile methodologies. Important Note: This position is strictly Work From Office (WFO) in Pune. Please apply only if you are willing to relocate or work from Pune. Key Responsibilities Data Engineer – Pune (Work from Office) SQL, Python, AWS, and Databricks. Responsibilities Design, develop, and maintain scalable data pipelines to ingest, process, transform, and curate data from multiple enterprise and eCommerce data sources. Build and support ELT/ETL workflows using AWS, Databricks, dbt, Spark, Python, and SQL. Develop and maintain reliable, reusable, and high-quality data products supporting reporting, analytics, and business intelligence initiatives. Implement data transformation and modelling solutions aligned with Medallion Architecture principles. Collaborate with business stakeholders, analysts, and product teams to translate requirements into scalable technical solutions. Perform data profiling, validation, reconciliation, and quality monitoring. Support analytical and reporting solutions by preparing datasets for Power BI and other reporting tools. Troubleshoot pipeline failures, performance bottlenecks, and data quality issues. Partner with engineering and business teams to deliver scalable solutions aligned with enterprise architecture, security, and governance standards. Required Skills 4+ years of experience as a Data Engineer. Strong proficiency in SQL, Python, AWS, and Databricks. Hands-on experience with Apache Spark, dbt, ETL/ELT development, and data modelling. Experience with data warehousing, Medallion Architecture, Power BI, and modern data platforms. Understanding of data quality, governance, metadata management, lineage, CI/CD, and deployment processes. Strong analytical, problem-solving, collaboration, and communication skills. Desired Skills Experience with eCommerce or digital commerce data. Exposure to Scala, Machine Learning, AI-driven solutions, and real-time/streaming architectures. Experience with cloud-native data engineering architectures and Agile methodologies. Important Note: This position is strictly Work From Office (WFO) in Pune. Please apply only if you are willing to relocate or work from Pune. Skill Requirements Data Engineer – Pune (Work from Office) SQL, Python, AWS, and Databricks. Responsibilities Design, develop, and maintain scalable data pipelines to ingest, process, transform, and curate data from multiple enterprise and eCommerce data sources. Build and support ELT/ETL workflows using AWS, Databricks, dbt, Spark, Python, and SQL. Develop and maintain reliable, reusable, and high-quality data products supporting reporting, analytics, and business intelligence initiatives. Implement data transformation and modelling solutions aligned with Medallion Architecture principles. Collaborate with business stakeholders, analysts, and product teams to translate requirements into scalable technical solutions. Perform data profiling, validation, reconciliation, and quality monitoring. Support analytical and reporting solutions by preparing datasets for Power BI and other reporting tools. Troubleshoot pipeline failures, performance bottlenecks, and data quality issues. Partner with engineering and business teams to deliver scalable solutions aligned with enterprise architecture, security, and governance standards. Required Skills 4+ years of experience as a Data Engineer. Strong proficiency in SQL, Python, AWS, and Databricks. Hands-on experience with Apache Spark, dbt, ETL/ELT development, and data modelling. Experience with data warehousing, Medallion Architecture, Power BI, and modern data platforms. Understanding of data quality, governance, metadata management, lineage, CI/CD, and deployment processes. Strong analytical, problem-solving, collaboration, and communication skills. Desired Skills Experience with eCommerce or digital commerce data. Exposure to Scala, Machine Learning, AI-driven solutions, and real-time/streaming architectures. Experience with cloud-native data engineering architectures and Agile methodologies. Important Note: This position is strictly Work From Office (WFO) in Pune. Please apply only if you are willing to relocate or work from Pune. Other Requirements Data Engineer – Pune (Work from Office) SQL, Python, AWS, and Databricks. Responsibilities Design, develop, and maintain scalable data pipelines to ingest, process, transform, and curate data from multiple enterprise and eCommerce data sources. Build and support ELT/ETL workflows using AWS, Databricks, dbt, Spark, Python, and SQL. Develop and maintain reliable, reusable, and high-quality data products supporting reporting, analytics, and business intelligence initiatives. Implement data transformation and modelling solutions aligned with Medallion Architecture principles. Collaborate with business stakeholders, analysts, and product teams to translate requirements into scalable technical solutions. Perform data profiling, validation, reconciliation, and quality monitoring. Support analytical and reporting solutions by preparing datasets for Power BI and other reporting tools. Troubleshoot pipeline failures, performance bottlenecks, and data quality issues. Partner with engineering and business teams to deliver scalable solutions aligned with enterprise architecture, security, and governance standards. Required Skills 4+ years of experience as a Data Engineer. Strong proficiency in SQL, Python, AWS, and Databricks. Hands-on experience with Apache Spark, dbt, ETL/ELT development, and data modelling. Experience with data warehousing, Medallion Architecture, Power BI, and modern data platforms. Understanding of data quality, governance, metadata management, lineage, CI/CD, and deployment processes. Strong analytical, problem-solving, collaboration, and communication skills. Desired Skills Experience with eCommerce or digital commerce data. Exposure to Scala, Machine Learning, AI-driven solutions, and real-time/streaming architectures. Experience with cloud-native data engineering architectures and Agile methodologies. Important Note: This position is strictly Work From Office (WFO) in Pune. Please apply only if you are willing to relocate or work