Opening For Data and AI Engineer

Tekskills Inc.; Delhi; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Tekskills Inc. is seeking an experienced Data Engineer to design and build end-to-end data pipelines, integrate data from diverse sources, and enable BI dashboards for analytics teams in a cloud-first environment.

You will collaborate with solutions design, data architects, and analysts to ensure data quality, model integrity, and scalable ETL processes using Azure, Databricks, and Python. 7+ years in DWBI with SQL/NoSQL experience required.

Qualifications

• Total IT DWBI experience 7+ years.
• Experience in Azure cloud platforms.
• Define and develop data integration patterns and pipelines.
• Strong knowledge of data modelling, data warehousing, and BI concepts.
• Experience with Data Lake, Databricks, Data Factory, BI Dashboard, and BI implementation projects.
• At least 4 years experience in SQL/PostgreSQL, data and BI solutions with integration to 3rd party tools.
• Experience with ERP or application servers, Spark, Scala, Python, SQL, NoSQL, Azure.
• GenAI concepts like RAG, LangChain, LlamaIndex.

Responsibilities

• Build end-to-end data pipelines including data collection, transformation, quality and integration solutions to facilitate Client data & analytics solutions.
• Collaborate with solution design and business requirements teams to identify data requirements and assemble large, complex data sets that meet the requirements
• Design, implement and fine-tune analytics solutions that meet business and technical requirements
• Work collaboratively with the Client data architect to ensure data model integrity
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Create data tools for analytics and data scientist teams that assist them in building and optimising the data models and solutions
• Work with the DevOps engineer to support the consistent operation of data & analytics solutions
• Work closely with the data analysts & data scientists to design and develop APIs
• Weekly and need basis Status reporting to Client and Infosys managers
• Self-motivated, able to work independently, and attention to details
• Curious about emerging AI trends and their implications for data engineering

Skills

SQL

Python

Scala

Spark

Databricks

Data Modeling

Data Warehousing

BI Concepts

GenAI Concepts

APIs

Education

Bachelor or Masters in CS/IT

Tools

Azure Data Factory

ADLS

Data Lake

NoSQL

Azure

Job description

Description:

Main Responsibilities:

• Build end-to-end data pipelines including data collection, transformation, quality and integration solutions to facilitate Client data & analytics solutions.
• Collaborate with solution design and business requirements teams to identify data requirements and assemble large, complex data sets that meet the requirements
• Design, implement and fine-tune analytics solutions that meet business and technical requirements
• Work collaboratively with the Client data architect to ensure data model integrity
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Create data tools for analytics and data scientist teams that assist them in building and optimising the data models and solutions
• Work with the DevOps engineer to support the consistent operation of data & analytics solutions
• Work closely with the data analysts & data scientists to design and develop APIs
• Weekly and need basis Status reporting to Client and Infosys managers
• Self-motivated, able to work independently, and attention to details
• Curious about emerging AI trends and their implications for data engineering

7 - 12 years

Academic Qualification:

• Bachelor or Masters degree in a related field (e.g. computer science, information technology, etc.)

Professional Experience

• Total experience of 7+ years in IT Industry in DWBI.
• Experience in Azure cloud platforms and technology
• Ability to define and develop data integration patterns and pipelines
• Strong knowledge of data modelling, data warehousing, and BI concepts
• Experience with Data Lake, Databricks, Data Factory, BI Dashboard, and BI implementation projects
• At least 4 years experience in SQL/PostgreSQL, data and BI solutions with integration to 3rd party tools
• Experience working with application server software (e.g. ERP), Spark, Scala, Python, SQL scripting languages, relational databases (e.g. SQL DB/DW), NoSQL platforms (e.g. HBase, MongoDB, Cassandra), cloud technologies (e.g. Azure)
• Highly experienced with processing large and complex datasets and building end-to-end data pipelines using on-premise or cloud-based data platforms
• Experienced in coding in data management, data warehousing or unstructured data environments
• Experience in the energy sector or other asset-intensive industries will be highly regarded
• Experience in using coding assistants (e.g. GitHub Copilot) for uplifting productivity in development
• Familiar with GenAI concepts like RAG, orchestration frameworks like LangChain and LlamaIndex, vector databases etc. to collaborate efficiently with data scientists and ML engineers in AI use cases

Mandatory skills* Databricks, Azure Data Factory, SQL, Spark, Scala, Python, ADLS, Familiar with GenAI concepts