Specialist - Data Engineering jobs in United States
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LTIMindtree ยท 5 hours ago

Specialist - Data Engineering

LTIMindtree is a company focused on delivering quality software solutions, and they are seeking a Specialist in Data Engineering. The role involves working with various stakeholders to ensure data quality, building infrastructure for data extraction and transformation, and developing analytical tools to provide insights into business performance metrics.

ConsultingEnterpriseInformation TechnologySoftware
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H1B Sponsor Likelynote

Responsibilities

Work with business stakeholders Business Systems Analysts and Developers to ensure quality delivery of software
Interact with key business functions to confirm data quality policies and governed attributes
Assemble large complex sets of data that meet nonfunctional and functional business requirements
Identify design and implement internal process improvements including redesigning infrastructure for greater scalability optimizing data delivery and automating manual processes
Build required infrastructure for optimal extraction transformation and loading of data from various data sources using AWS and SQL technologies
Design development of Reports and dashboards
Analyzing and evaluating data sources data volume and business rules
Build analytical tools to utilize the data pipeline providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
Interpret and analyses data from various source systems to support data integration and data reporting needs
Experience in testing Database Application to validate source to destination data movement and transformation
Work with team leads to prioritize business and information needs
Develop and summarize Data Quality analysis and dashboards
Knowledge of Data modeling and Data warehousing concepts with emphasis on Cloud On Prem ETL
Execute testing of data analytic and data integration on time and within budget
Troubleshoot determine best resolution for data issues and anomalies
Has deep understanding of data architecture data modeling best practices and guidelines for different data and analytic platforms

Qualification

PythonAWS ServicesSQLETLData WarehousingData MigrationApache SparkCloud TechnologiesUNIX/LinuxFlaskDjangoJupyter NotebookNginxScala

Required

DSE ETL Advanced SQL Python AWS Services UNIXLINUX and Data Cloud
Work with business stakeholders Business Systems Analysts and Developers to ensure quality delivery of software
Interact with key business functions to confirm data quality policies and governed attributes
Assemble large complex sets of data that meet nonfunctional and functional business requirements
Identify design and implement internal process improvements including redesigning infrastructure for greater scalability optimizing data delivery and automating manual processes
Build required infrastructure for optimal extraction transformation and loading of data from various data sources using AWS and SQL technologies
Design development of Reports and dashboards
Analyzing and evaluating data sources data volume and business rules
Build analytical tools to utilize the data pipeline providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
Interpret and analyses data from various source systems to support data integration and data reporting needs
Experience in testing Database Application to validate source to destination data movement and transformation
Work with team leads to prioritize business and information needs
Develop and summarize Data Quality analysis and dashboards
Knowledge of Data modeling and Data warehousing concepts with emphasis on Cloud On Prem ETL
Execute testing of data analytic and data integration on time and within budget
Troubleshoot determine best resolution for data issues and anomalies
Has deep understanding of data architecture data modeling best practices and guidelines for different data and analytic platforms
Extensive experience with Python scripting and Cloud Technologies
Extensive experience with AWS components like S3 Athena EMR Glue Redshift Kinesis and Sagemaker
Experience in Automating ETL process with Python and Automation around AWS Data Infrastructure
Extensive Experience with SQLUnixLinux scripting is a must
Extensive experience on Developingtesting CloudOn Prem ETL Ab Initio AWS Glue Informatica Alteryx
Extensive Experience in largescale application development testing Cloud On Prem Data warehouse Data Lake Data Science
Mandatory Skills : Flask, Apache Spark, Python, Nginx, Django, Jupyter Notebook, Scala, Apache Spark Scala, Python - Data Science

Preferred

Experience In Spark SQL Python Cloud Formation
Data migration is a must Teradata to Redshift preferred

Company

LTIMindtree

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LTIMindtree is a worldwide technology consulting and digital solutions company that empowers businesses in a variety of sectors.

H1B Sponsorship

LTIMindtree has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2651)
2024 (2855)
2023 (2267)

Funding

Current Stage
Late Stage

Leadership Team

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Venu Lambu
Chief Executive Officer & MD
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Vipul Chandra
Chief Financial Officer
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Company data provided by crunchbase