Technology Lead - Engineering | Cloud Integration | Azure Data Factorty (ADF)
Company Description: IMCS Group is one of the fastest growing MWBE (Minority Woman Owned Enterprise) staffing firms in the U.S. We focus on bringing a Diversity Recruitment approach to Fortune 500 companies within North America and EMEA region contingent labor programs. IMCS Group excels in providing top talent in IT, Healthcare, Engineering, Finance, Light Industrial, Contact Center, and Clerical. We have offices in the US, Canada, Mexico, and India in which we can provide support to our clients.Description: POC: Sam ChavezATTENTION ALL SUPPLIERS!!!READ BEFORE SUBMITTING" UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions" Limited to 1 submission per supplier. Please submit your best." We prioritize endorsing those with complete and accurate information" Avoid submitting duplicate profiles. We will Reject/Disqualify immediately." Make sure that candidate's interview schedules are updated. Please inform the candidate to keep their lines open." Please submit profiles within the max proposed rate***" Please make sure to TAG the profiles correctly if the candidate has WORKED FOR *** as a SUBCON or FTE.MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.Job Title: Technology Lead - Engineering | Cloud Integration | Azure Data Factorty (ADF) Sr. Data EngineerWork Location & Reporting Address: Tulsa, OK 74116 (Onsite-Hybrid)Contract duration: 6MAX VENDOR RATE: *** per hour maxTarget Start Date: 9 May 2026Does this position require Visa independent candidates only? YesMust Have Skills:4 -7 years of hands-on experience in Data EngineeringAzure Databricks/Azure Data Factory (primary skillset )Azure Data Lake (secondary skillset)TeradataNice to Have Skills:Databricks CertificationDetailed Job Description:This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisionsImplement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse toolsPerform multiple aspects involved in the development lifecycle design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod supportProvide technical leadership and collaborate within a team environment as well as work independentlyBe a part of a DevOps team that completely owns and supports their productImplement batch and streaming data pipelines using cloud technologiesLeads development of coding standards, best practices and privacy and security guidelinesMentors' others on technical and domain skills to create multi-functional teamsALL YOU LL NEED FOR SUCCESSTop Mandatory Skills:4 -7 years of hands-on experience in Data EngineeringAzure Databricks/Azure Data Factory (primary skillset )Azure Data Lake (secondary skillset)TeradataNice to have:Databricks CertificationMinimum Requirements:Bachelor s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).5+ years of experience in software development (Agile, DevOps), designing, developing, and implementing large-scale applications or data engineering solutions.5+ years of data analytics experience using SQL and working with data platforms like Teradata, Cassandra, MongoDB, Oracle, SQL Server, Snowflake, ADLS, and Azure Data Explorer.5+ years of cloud development and data lake experience, primarily in Microsoft Azure (EventHub, Data Factory, Databricks, Blob Storage, Power BI, Azure Functions, etc.)Work set up is 3x onsite Laptop: any standard developer configuration would help Open to H1B candidatesMinimum Years of Experience:5+ yearsCertifications Needed:NoneTop 3 responsibilities you would expect the Subcon to shoulder and execute:Interview Process (Is face to face required?)Virtual and Onsite interview (Technical and behavioral)Any additional information you would like to share about the project specs/nature of work: