Technical Lead

6 days ago


Jersey City, New Jersey, United States Tekfortune Inc Full time

About Tekfortune

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Tekfortune is a leading consulting firm that specializes in providing innovative staffing solutions to top organizations across various industries. Our expertise lies in delivering permanent, contract, and project-based staffing services to meet the dynamic needs of businesses in today's rapidly changing economic landscape.

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Job Overview

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We are seeking an experienced Senior Technical Lead to join our team. As a key member of our technical leadership team, you will be responsible for providing guidance and direction to our developers, enhancing their technical capabilities, and driving productivity.

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Key Responsibilities

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  • ">
  • Develop and maintain scalable data pipelines using Azure and PySpark.">
  • Extract, load, and transform data from various sources into cloud data warehouses.">
  • Format and distribute custom data extracts through APIs, SFTPs, and other mediums.">
  • Design and optimize data storage solutions based on business needs.">
  • Assist in database structure design, schema design, and database testing.">
  • Define company data assets, data models, and data quality protocols.">
  • Troubleshoot database issues and improve data retrieval times using SQL.">
  • Collaborate with technical and non-technical stakeholders across various business units.">
  • Facilitate and troubleshoot database connectivity between internal and external resources.">
  • Implement and enforce enterprise reference architecture, data governance, and security guidelines.">
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Requirements

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To succeed in this role, you will need:

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- A Bachelor's degree in Information Systems, Software Engineering, Computer Science, Data Engineering, or a related field (Master's preferred).

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- Experience with Azure Stack (Data Lake, Blob Storage, Azure Data Factory, Databricks) and on-premises Microsoft SQL Server.

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- Proficiency in ETL/ELT processes, ingesting data into cloud-native data warehouses.

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- Experience with Python, PySpark.

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- Strong verbal and written communication skills.

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Preferred Qualifications

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The following qualifications are desirable:

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- Experience with DataRobot, Domino Data Labs, Salesforce MC, Veeva CRM.

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- Familiarity with Snowflake Warehouse and statistical concepts (e.g., regression analyses, hypothesis testing, Client modeling).

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- Experience with healthcare marketing analytics, healthcare data claims, and medical coding sets (ICD, HCPCs, NPIs).

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