Looking for a Data Engineer from India for our Enterprise Client

Looking for a Data Engineer from India for our Enterprise Client (INDIVIDUALS ONLY). Teams/Enterprises/Consultancies/Agencies please stay away.

Project Duration: 3-6 months

Location: Remote/WFH

Hours Required: 40 hrs/week


• Diverse Data Engineering activities using best of the breed commercial and in-house platforms both cloud and on-premise solutions

• Build & Deliver Data pipeline connecting various enterprise data sources both RDBMS, NoSQL & APIs to process structured, semi-structured and unstructured data

• Develop data mappings to existing data sources, Lead the data identification, data analysis efforts for data sources and work directly with data owner teams

• Design and development of data extraction, data ingestion, data quality rules implementation

• Evaluate and define functional requirements for BI, DW, and Big Data solutions

• Involvement in architecture and design of data of BI, DW, and Big Data solutions

• Clean and process the data for Machine Learning consumption

• Support by leveraging project standards and leading data consumption by analytics platforms

Required Skills

• Lead the data identification, data analysis efforts for data sources and work directly with data owner teams

• Develop data requirements for new data sources.

• Define new business data models.

• Good knowledge of Database concepts, SQL and experience in working with Database clients like, TOAD, SQL developer, SQL Server Management Studio

• Good knowledge of NoSQL/ Document DB.

• Good understanding of Enterprise Information Model and Expertise in data modeling in Data Warehouse environment, with in-depth knowledge of Data Modeling concepts

• Proficient in analyzing business requirements and mapping them to technical requirements

• Good exposure to Enterprise Data Architecture, Data Quality Management, ETL mapping, data classification, operational system design

• Data Analysis and Interpretation, and Data Issue Debugging Skills

• Understanding data integration (ETL) processes is a plus

• Experience with Big Data and cloud-based data platforms (Azure or AWS)

• Experience with Azure Data Factory, ADLS, Databricks, Python & PySpark, Azure Functions, Logic Apps, SQL

• Able to understand technical issues and translate them into business problems

• Knowledge of working in a Cloud-based environment on Azure and AWS will be a big plus

Skills: NoSQL, Data Architecture, Big Data, Python, Azure

About the Client:
( 6 reviews ) Chennai, India

Project ID: #33505278

39 freelancers are bidding on average $23/hour for this job

(62 Reviews)

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