Data Engineer (Azure) - Infosys - Fortworth, TX (Onsite)

[Naveen Beast]

Hi Recruiting Family, hope all is well

Need your support .

Note: only H1B and passport number is mandatory.

Note: 2nd round of interview will be in person/ Face to Face

Note: Need only local to texas.

HIGH PRIORITY ROLES

Kindly share resumes to and...@ampstek.com

Job Title: Data Engineer (Azure)

Location: Fortworth, TX 76155 (Onsite)

Implementation: Infosys

JD

Must Have Skills:
⦁ SQL
⦁ Databricks


Detailed Job Description:

Minimum Qualifications- Education & Prior Job Experience:
⦁ Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
⦁ 5-7 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
⦁ 5-7 years data analytics experience using SQL
⦁ 5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.

Combination of Development, Administration & Support experience in several of the following tools/platforms required:
⦁ Scripting: Python, Spark, Unix, SQL
⦁ Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Administration skills a plus
⦁ Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions
⦁ CI/CD: GitHub, Jenkins, Azure DevOps, Terraform
⦁ BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana
⦁ Clear understanding on Data Warehousing concept
⦁ Data Governance and Privacy: Informatica Axon and EDC, BigID
⦁ Orchestration: Azure Data Factory, Tivoli

Preferred Qualifications- Education & Prior Job Experience:
⦁ 5-7 years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
⦁ 5-7 years data analytics experience using SQL
⦁ 5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
⦁ Azure (Data Factory, Azure Functions, ADX, Event Hub, ASA) experience
⦁ Airline Industry Experience

Skills, Licenses & Certifications:
⦁ Expertise with the Azure Technology stack for data management, data ingestion, capture, processing and curation
⦁ Expertise in providing practical direction within the Azure Native cloud services.
⦁ Azure Development Track Certification (preferred)
⦁ Spark Certification (preferred)
⦁ Interviews will be 2 rounds, 1st virtual 2nd onsite. Top skills are: SQL & Databricks. If you receive an offer, please ensure you are providing your contractors with a standard laptop on their first day.

Regards

Andrew

and...@ampstek.com

[Naveen Beast]

[Naveen Beast]

Hi Recruiting Family, hope all is well

Need your support .

Note: only H1B and passport number is mandatory.

Note: 2nd round of interview will be in person/ Face to Face

Note: Need only local to texas.

HIGH PRIORITY ROLES

Kindly share resumes to and...@ampstek.com

Job Title: Data Engineer (Azure)

Location: Fortworth, TX 76155 (Onsite)

Implementation: Infosys

Must Have Skills:
⦁ Apache Spark (10+ yrs of exp)
⦁ Scala (10+ yrs of exp)
⦁ Azure Databricks (10+ yrs of exp)

Nice to Have Skills:
⦁ SQL (5+ yrs of exp)
⦁ CICD (5+ yrs of exp)

Detailed 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.
Provide product technical leadership for teams to both analyze and take charge of long-term opportunities, designing a cutting-edge data solution and help with core development when needed.
⦁ Act as Product Technical Lead.
⦁ Act as subject matter expert for data domain within the IT organization and work with business to author self-service data products
⦁ Collaborate with leaders, business analysts, project managers, IT architects, technical leads, and other developers, along with internal customers and cross functional teams to implement data strategy
⦁ Design and build data engineering pipeline frameworks while ensuring these are reusable, scalable, efficient, maintainable, gracefully recover from failures, reprocessing the data should be easy.
⦁ Drive data quality, best practices, coding standards, Test Driven Development, identifying single source of truth for data across systems and Quality Analytics (Mean Time to Recover, Mean Time between Failures, Patterns causing failures).
⦁ Utilize data pipelines to provide actionable insights into data quality and product performance.
⦁ Identify, design, and implement internal process improvements such as automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
⦁ Contribute to the continuous improvement of data engineering across the enterprise by researching industry best practices and determining best usage of specific cloud services and tools.
⦁ Work with data squads to ensure data products are designed with privacy and compliance baked in (Privacy by design).
⦁ Work with product teams to help prioritize team objectives and initiatives/team features.
⦁ Conduct road shows on the data products across the organization.
⦁ Advocate the agile process and test-driven development, using data engineering development tools to analyze, model, design, construct and test reusable

Minimum Qualifications – Education & Prior Job Experience

⦁ Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training

⦁ 9+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in data analytics, warehousing, and data engineering.
⦁ Working experience in data analytics (data wrangling, mining, integration, analysis, visualization, data modeling, analysis/analytics, and reporting).
⦁ Should have at least 5 years of experience in optimizing Spark jobs for performance and cost-efficiency using advanced techniques such as partitioning, caching, cluster configuration tuning, and troubleshooting bottlenecks.
⦁ A great candidate must have extensive hands-on and tuning experiences and able to independent research to solve challenge problem. Proactive approach

Minimum Years of Experience:
⦁ 10+ years

Regards

Andrew

and...@ampstek.com