Data Architect
1 week ago
We are seeking a Data Engineer Architect with experience of minimum 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 optimize 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: Contractual / Temporary
Contract length: 3 months
Pay: ₹80, ₹100,000.00 per month
Work Location: Remote
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