ETL Developer/Data Engineer

TekWissen LLC
Hudson, MA, United States
3 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Microsoft Azure Backup Devices C Sharp (Programming Language) Cyber Security Databases Data Architecture Data Integration Data Integrity Extract Transform Load (ETL) Data Transformation Data Mining
+20 more
Data Systems Data Warehousing Relational Databases Database Security Database Testing Systems Analysis Python (Programming Language) Microsoft SQL Server NumPy Operational Data Store Standard Sql SQL Databases Data Streaming Microsoft Power Automate Azure Data Factory Database Performance Microsoft Fabric Information Technology Integration Frameworks Data Pipelines

Job description

  • We are looking for a savvy ETL Developer/ Data Engineer to join our team. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection.
  • The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing existing data systems and building them from the ground up., * Maintain and provide enhancements to data architecture within new/existing systems including Data Warehouse.
  • Recommend and implement processes to improve data quality, data reliability, and database performance.
  • Employ variety of ETL and integration tools for system and data integrations.
  • Architect solutions that support data scientist and business stakeholders.
  • Conduct ETL testing and data transformation testing.
  • Develop data models for data science team that can be utilized for data mining.
  • Maintain source to target documentation and process flow documentation.
  • Take on DBMS responsibilities and wear multiple hats such as: ETL’s, serve as SQL Server DBA Processes/Job/Error Handling/Troubleshooting/Scheduling, etc.
  • Proactively monitor ETL Processes / Jobs.

Requirements

  • Relevant hands-on work experience in a Datawarehouse testing role.
  • ETL (Extract Transform Load)/ODS (Operational Data Store) experience.
  • MS SQL Server
  • Commercial Real Estate experience preferred.

Education:

  • Bachelor’s degree in computer science or information technology from an accredited institution

Skills:

  • ETL Tools: Azure Data Factory (ADF) 3+ year including API source exposure.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. (4+ years of SQL) and working knowledge of Azure.
  • Proficient in Azure Managed MS SQL Server database including setting indexes, database security, and backups.
  • Data Testing: 3+ years
  • Fundamental knowledge of data warehouse concepts
  • Data Warehouse testing: 2+ year
  • Must have Python skills Data frame, NumPy, Panda libraries
  • C# 2+ Years
  • Microsoft Fabric 1 Years
  • Should be able to Develop Azure Logic App, Azure Function in C#.
  • Experience in data duality, source systems analysis, and business rules validation.
  • Ability to write and understand Source to Target documentation.
  • Detail oriented and meticulous approach to duties.
  • Keep our data separated and secure.
  • Good analytical skills.
  • A knack for independent and group work.
  • Capacity to successfully manage a pipeline of duties with minimal supervision.

Good To Have:

  • Familiarity with data and cybersecurity.

About the company

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is a global professional services firm specializing in digital transformation, business process management (BPM), analytics, and AI-driven solutions. The company partners with organizations to improve efficiency, transform operations, and drive business outcomes through a combination of process expertise, technology, and data insight.

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