Opening For Data and AI Engineer

Tekskills; Pune District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Tekskills is seeking a Senior Data Engineer in Pune to build end-to-end data pipelines and analytics solutions. You will collaborate with design and business teams, ensure data model integrity, and implement scalable data loading from diverse sources.

You should have 7+ years in IT DWBI, strong Azure, Databricks, SQL, Spark, Python, and GenAI exposure, with experience in data lakes, BI dashboards, and third-party integrations.

Qualifications

• Total experience of 7+ years in IT DWBI.
• Experience on Azure cloud platforms and data integration.
• Strong knowledge of data modelling, warehousing, BI concepts.
• Experience with Data Lake, Databricks, Data Factory, BI dashboards and implementations.
• 4+ years in SQL/PostgreSQL and BI solutions with 3rd party integrations.
• Experience with Spark, Scala, Python, SQL scripting, relational and NoSQL databases, cloud tech.
• Familiar with GenAI concepts and orchestration for AI use cases.

Responsibilities

• Build end-to-end data pipelines including data collection, transformation, quality and integration solutions.
• Collaborate with solution design and business teams to identify data requirements and assemble large data sets.
• Design, implement and fine-tune analytics solutions meeting business and technical needs.
• Work with data architects to ensure data model integrity.
• Build infrastructure for optimal data extraction, transformation, and loading from diverse sources.
• Create data tools for analytics and data science teams to assist data modelling.
• Collaborate with DevOps to support operation of data & analytics solutions.
• Work with data analysts/scientists to design and develop APIs.
• Weekly and on-demand status reporting to client and Infosys managers.
• Self-motivated, independent, detail-oriented; curious about GenAI trends.

Skills

Databricks

Azure Data Factory

SQL

Spark

Scala

Python

ADLS

GenAI concepts

Education

Bachelor or Masters in CS/IT or related

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