21 Aug
|
Important Group
|
Hyderabad
21 Aug
Important Group
Hyderabad
We
are seeking a highly skilled and cutting-edge Senior Data Consultant
(Databricks) to join our dynamic Data & Analytics team.
This role is ideal for someone passionate about building scalable data
solutions and driving business value through advanced analytics.
As
a Senior Data Consultant, you will play a key role in designing, developing,
and optimizing data pipelines, collaborating closely with solution architects,
analysts, and cross -functional teams to deliver robust data models and
cloud -based solutions that support enterprise analytics and machine learning
initiatives.
Key
Responsibilities
- Design, develop, and maintain end -to -end data pipelines
using modern data platforms and tools.
- Build and manage ETL/ELT processes for large -scale data
transformation in both real -time and batch modes.
- Develop and maintain scalable data models and
schemas to support analytics and ML applications.
- Collaborate with data scientists, analysts, and IT
teams to gather requirements and deliver high -quality data solutions.
- Optimize performance and scalability of data pipelines,
ensuring efficient resource usage and data quality.
- Implement data governance best
practices, ensuring data integrity, privacy, and security.
- Leverage cloud platforms (AWS, Azure, or GCP) to
implement and manage data pipelines and infrastructure.
- Monitor, troubleshoot, and resolve data pipeline issues
to ensure reliability and uptime.
- Automate workflows and implement CI/CD
pipelines for seamless deployment of data applications.
- Stay current with emerging technologies and best
practices in data engineering and cloud platforms.
Requirements
- Bachelor’s or Master’s degree in Computer Science,
Engineering, Data Science, or a related field.
- Proven experience as a Senior Data Consultant with
hands -on expertise in Databricks.
- Strong understanding of data warehousing, ETL/ELT,
and data modeling principles.
- Experience with Delta Lake and
building scalable, high -performance data pipelines.
- Hands -on experience with cloud platforms (AWS,
Azure, or GCP).
- Familiarity with tools like Apache Kafka, Airflow,
or similar orchestration frameworks.
- Knowledge of version control (e.g.,
Git) and CI/CD practices.
- Excellent analytical, problem -solving, and
communication skills.