Data Engineer Architect

18 hours ago

Pacific Remote Islands Marine National Monument, India AK Infolution Full time

We are seeking a Data Engineer Architect with experience of minimum who will play a crucial role in10+ years. 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:

* 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.
  • 10+ years of experience in data engineering, API development, or a related role.

* 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: ₹80, ₹110,000.00 per month

Work Location: Remote

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