Databricks Lead
2 weeks ago
We are Cognizant Artificial Intelligence
Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before.
However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.
You must be legally authorized to work in United States/Canada without the need of employer sponsorship, now or at any time in the future
Job Title:
Databricks Lead
Job summary
- This role will be part of a team focused on cloud transformation, modernizing analytics platforms, and improving agility. The role requires handson experience in building and managing analytics solutions in Snowflake.
- Provide direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of Data Engineering architecture and Development.
Experience 10 to 12 yrs
Required Skills:
Technical Skills:
Databricks
Technical Skills:
Snowflake
Roles/Responsibilities
- Good understanding in the Snowflake platform: external tables, materialized views, stored procedures tasks, rowbased access policy and rolebased access policy, timetravel, failsafe, connectors, Micropartitions & Data Clustering in Snowflake and query pruning.
- Establish Data Engineering architecture strategy, best practices, standards, and roadmap.
- Experience developing ETL Pipeline using Python, Snowflake, and IDMC.
- Experience with loading batch data and streaming data via Kafka.
- Build Data Flows mapping Source systems and Process flows.
- Assemble large complex data sets that meet nonfunctional and functional business requirements.
- Perform code reviews and assist developers in optimization and troubleshooting.
- Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls virtual, warehouse, sizing query performance, tuning zerocopy, clone time travel, and understanding how to use these features.
- Knowledge of AWS and management technologies such as S
- Strong written communication skills
- Is effective and persuasive in both written and oral communication
Must Haves:
- More than 5 years of experience in data engineering.
- Python experience.
- Snowflake experience (developing ETL pipelines).
Data Bricks experience
- Writing Workflows and Notebooks in Python/Scala/SQL.
- Knowledge of AWS.
- Fluent in English (written and verbal).
- Kafka experience (loading batch and streaming data) is a plus.
Job Location
Primary:
Halifax - NS CAN
Salary and Other Compensation:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Longterm/Shortterm Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
#LI-GH1 #CB #Ind123
Employee Status :
Full Time Employee
Shift :
Day Job
Travel :
No
Job Posting :
Aug
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