Experience
7 - 10 yrs
Job Location
Mumbai, India
Vacancy
1
Designation
Technical Lead
Job Type
ONSITE
Job Description
The purpose of this role is to maintain, improve, clean and manipulate data in the business s operational and analytics databases
The Data Engineer works with the business s software engineers, data analytics teams, data scientists and data warehouse engineers in order to understand and aid in the implementation of database requirements, analyse performance, and troubleshoot any existent issues
The Data Engineer works with the business s software engineers, data analytics teams, data scientists and data warehouse engineers in order to understand and aid in the implementation of database requirements, analyse performance, and troubleshoot any existent issues
Business Title
Data Engineer-Technical Lead
Years of Experience
Min 6 and max upto 10
Technical Lead with strong hands on experience in cloud-based data platforms (AWS, Azure, GCP) to design, develop, and optimize scalable data solutions
This role focuses on building robust data pipelines, implementing modern data platforms, contributing to solution designs, and supporting pre sales and client discussions
The ideal candidate is a seasoned developer who can work independently on complex data engineering problems while collaborating closely with architects, stakeholders, and junior engineers
This role focuses on building robust data pipelines, implementing modern data platforms, contributing to solution designs, and supporting pre sales and client discussions
The ideal candidate is a seasoned developer who can work independently on complex data engineering problems while collaborating closely with architects, stakeholders, and junior engineers
Must have skills:
Core Technical Skills 7 10 years of hands on experience in data engineering and development roles
Strong hands-on experience with AWS and/or Azure and/or GCP data services such as BigQuery, Synapse, Redshift, Databricks, etc Any 2 cloud experience is mandatory
Solid expertise in data modeling, ETL/ELT pipeline development, data warehousing, and lakehouse architectures
Strong Python development skills for data engineering, automation, orchestration, and solution prototyping
Extensive experience working with SaaS-based data platforms (eg, Databricks, Snowflake, managed analytics services)
Experience implementing and integrating Master Data Management (MDM) solutions such as Informatica, Reltio, Profisee, or equivalent tools
Practical knowledge of data governance, security, access control, and compliance requirements in cloud environments
Basic exposure to Agentic AI concepts, such as AI-driven automation, data orchestration, or intelligent workflow augmentation
Ability to design, build, and optimize scalable and high-performance data pipelines
Experience in query optimization, performance tuning, and cost optimization across cloud data platforms
Hands-on experience supporting analytics, BI, and downstream consumption layers
Strong verbal and written communication skills to effectively collaborate with architects, QA, DevOps, and business stakeholders
Ability to explain complex technical concepts clearly to non-technical audiences
Strong hands-on experience with AWS and/or Azure and/or GCP data services such as BigQuery, Synapse, Redshift, Databricks, etc Any 2 cloud experience is mandatory
Solid expertise in data modeling, ETL/ELT pipeline development, data warehousing, and lakehouse architectures
Strong Python development skills for data engineering, automation, orchestration, and solution prototyping
Extensive experience working with SaaS-based data platforms (eg, Databricks, Snowflake, managed analytics services)
Experience implementing and integrating Master Data Management (MDM) solutions such as Informatica, Reltio, Profisee, or equivalent tools
Practical knowledge of data governance, security, access control, and compliance requirements in cloud environments
Basic exposure to Agentic AI concepts, such as AI-driven automation, data orchestration, or intelligent workflow augmentation
Ability to design, build, and optimize scalable and high-performance data pipelines
Experience in query optimization, performance tuning, and cost optimization across cloud data platforms
Hands-on experience supporting analytics, BI, and downstream consumption layers
Strong verbal and written communication skills to effectively collaborate with architects, QA, DevOps, and business stakeholders
Ability to explain complex technical concepts clearly to non-technical audiences
Good to have skills:
Familiarity with AI/ML integration into data platforms and analytics workflows
Prior experience working in a consulting or professional services environment
Prior experience working in a consulting or professional services environment
Key responsibilities:
Design, develop, and maintain robust, scalable, and secure data pipelines and platforms across AWS, Azure, and GCP
Write high-quality, maintainable code in Python and SQL; implement ETL/ELT processes and data transformations
Collaborate with solution architects to implement approved data architectures and provide development-level design inputs
Support pre-sales efforts by contributing to technical inputs, building PoCs, demos, and solution prototypes when required
Implement data quality checks, governance standards, security controls, and compliance requirements in developed solutions
Work closely with cross-functional teams to understand requirements and translate them into effective technical implementations
Guide and mentor junior developers, conduct code reviews, and promote best practices within the team
Stay current with emerging cloud, data engineering, and AI technologies and recommend improvements to existing platforms
Write high-quality, maintainable code in Python and SQL; implement ETL/ELT processes and data transformations
Collaborate with solution architects to implement approved data architectures and provide development-level design inputs
Support pre-sales efforts by contributing to technical inputs, building PoCs, demos, and solution prototypes when required
Implement data quality checks, governance standards, security controls, and compliance requirements in developed solutions
Work closely with cross-functional teams to understand requirements and translate them into effective technical implementations
Guide and mentor junior developers, conduct code reviews, and promote best practices within the team
Stay current with emerging cloud, data engineering, and AI technologies and recommend improvements to existing platforms
Education Qualification:
1
Bachelor s or Master s degree in Computer Science, Information Systems, Data Engineering, or a related field
Bachelor s or Master s degree in Computer Science, Information Systems, Data Engineering, or a related field
Certification If Any -AWS Data Analytics / Solutions Architect
Azure Data Engineer Associate
GCP Professional Data Engineer
Any two of the above
Databricks, Snowflake, or other cloud data platform certifications are a plus
Azure Data Engineer Associate
GCP Professional Data Engineer
Any two of the above
Databricks, Snowflake, or other cloud data platform certifications are a plus
Shift timing 12 PM to 9 PM and / or 2 PM to 11 PM - IST time zone
Location:
DGS India - Pune - Kharadi EON Free Zone Brand:
Merkle Time Type:
Full time Contract Type:
Permanent