| Description | We are seeking a Data Engineer Architect with 10+ years of experience who will play a crucial role in our team focusing on developing robust data pipelines and APIs to support our growing data infrastructure. The ideal candidate will have extensive experience in Python and SQL along with a strong understanding of cloud infrastructure particularly AWS. Additionally experience in application development and a solid grasp of ETL pipelines are essential for success in this role. DESIGN PROFICIENCY: Data Engineering Design and Develop DB objects performance Optimization Batcj and real time ETL Data Dimensional modelling Data Governance Design Tool:-Databases : MS SQL Server PostgreSQL MySQL ETL/ELT: SSIS Python Pyspark ADF Databricks Workflow Delta Live Table Azure : Azure Synapse Analytics Azure Data Factory Azure Functions Azure SQL and Azure CLI for automation and deployment. GCP:- Bigquery Big table Cloud functions Cloud SQL Data Proc. Snowflake NoSQL & Search Analytics : MpngoDB Etlastic Stack( Elasticsearch Logstash Kibana). Business Intelligence and Visualization : MicroStrategy SSAS MDX and OLAP cube Databricks Dashboard. Defect Tracking Tool :- Git / Github TFS. Key Responsibilities: 10+ years of experience in data engineering API development or a related role. Develop and maintain Python-based APIs for efficient data retrieval and manipulation. Design build and optimise ETL pipelines to ensure the smooth flow of data from various sources into our data warehouse. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Troubleshoot and debug issues in data pipelines and applications as needed. Stay updated with industry trends and best practices in data engineering and API development. Extensive experience using Python and Python frameworks (Flask/Django). Experience with SQL for data manipulation and analysis. Good knowledge of cloud infrastructure especially AWS services like EC2 S3 Lambda. Experience with GCP a plus. Experience in application development including designing building and deploying applications. Strong knowledge of ETL pipelines and best practices for data integration and transformation. Excellent communication and collaboration abilities with a proven track record of working effectively in cross functional teams. Possess a desire to work for a fast-paced results-based company. Experience with key marketing platform APIs such as Google Meta (formerly Facebook) and Amazon APIs to facilitate data integration with marketing platforms. Domain expertise in digital marketing understanding the nuances of data collection and analysis in the marketing domain. Job Type: Full-time Pay: ₹90000.00 - ₹140000.00 per month Application Question(s): Current and expected CTC ? Notice Period ? Experience: Data Engineering: 7 years (Required) Work Location: Remote |