Duties & Responsibilities:
Responsible for developing and supporting data pipelines that support and enable the
overall strategy of expanded data programs, services, process optimization, and
advanced business intelligence
Design and develop scalable data warehousing solutions, building ETL pipelines in Big
Data environments (cloud, on-prem, hybrid)
Leading data discovery sessions with business teams, comprising product owners, data
analysts, and cross-team technologists to understand enterprise data requirements of
analytics projects
Ensure proper testing and monitoring are in place to provide trusted and reliable data
from the data stack

Partner with business domain experts, system analysts, data/application architects, and
development teams to ensure data design is aligned with business strategy and direction
Identify and document standard methodologies, standards, and architecture guidelines
Dive deep, as required, to assist Business Intelligence Engineers through technical
hurdles impacting delivery
Participating in a shared on-call rotation monitoring the health of the team s systems

Essential Knowledge, Skills, and Abilities:

3+ years of data architecture related experience such as data analysis, data modeling,
and data integration

5+ years of Experience in custom ETL design, implementation, and maintenance




Advanced Knowledge of programming languages (eg Python and Object Oriented
Programming)
Hands-on experience with SQL database design
Experience working on Cloud Platforms (AWS or Google )
Experience working on CI/CD processes and source control tools such as GitHub and
GitLab
Experience working with relational databases (Snowflake, Redshift)
Strong knowledge of orchestration tools (AirFlow Preferred), file storage systems(AWS
S3, Google Cloud Storage), partitioning, and real-time processing of data
Robust knowledge and experience with Agile/Scrum methodology and iterative practices
in a service delivery lifecycle
Excellent communication and interpersonal skills with a demonstrated ability to influence
a large organization
Bachelor s or Master s Degree in Computer Science, Information Systems, or related
field

Bonus Points: ( specific project )

Experience working with reporting tools such as Tableau
Experience with event streaming with modern event streaming toolings like Kafka or
Kinesis

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Data Engineer - Internal (Gujarat)
🏢 Tech Holding
📍 Gujarat