
Databricks Engineer- Technical lead
4 days ago
Locations:
Pune, Maharashtra, India
Minimum Experience:
8
Maximum Experience:
12
Skill to Evaluate:
azure/aws,databricks,SQL,PYSPARK, Team Handling
Job Title: Technical Lead
Company Name: NCSI
This role is accountable for running day to day operations of Data Platform in Azure / AWS Databricks NCS. Data Engineer is accountable for ongoing Development, Enhancement support and maintenance data availability and data quality, performance enhancement and stability of the system.
Designing and implementing data ingestion pipelines from multiple sources using Azure Databricks
Ensure data pipelines run smoothly and efficiently
Adherence to security, regulatory and audit control guidelines
Drive optimization, continuous improvement and efficiency
1
Designing and implementing data ingestion pipelines from multiple sources using Azure
Databricks
2 Ensure data pipelines run smoothly and efficiently
3
Developing scalable and re-usable frameworks for ingesting of data sets
4 Integrating the end to end data pipeline - to take data from source systems to target data
repositories ensuring the quality and consistency of data is maintained at all times
5 Working with event based / streaming technologies to ingest and process data
6 Working with other members of the project team to support delivery of additional project
components (API interfaces, Search)
7 Evaluating the performance and applicability of multiple tools against customer requirements
8 Technically competent in Cloud and Databricks to provide technical advice to the team and
to be involved in issue resolution
9 Provide on-call support and afterhours/weekend support as needed
10 Fulfill Service Requests related to Data Analytics platform
11 Lead and drive optimization and continuous improvement initiatives
12 Play gate-keeping role and conduct technical review of the changes as part of release
management
13 Understand various data security standards and adhere to the required data security controls
in the platform
14 Lead the design, development, and deployment of advanced data pipelines and analytical
workflows on the Databricks Lakehouse platform.
15 Collaborate with data scientists, engineers, and business stakeholders to build and scale
end-to-end data solutions.
16 Own architectural decisions and ensure adherence to data governance, security, and
compliance requirements.
17 Mentor a team of data engineers, providing technical guidance and career development.
Implement CI/CD practices for data engineering pipelines using tools like Azure DevOps,
GitHub Actions, or Jenkins.
Bachelors degree in IT, Computer
Science, Software Engineering,
Business Analytics or equivalent.
- Relevant accredited
certifications for Azure, AWS,
Cloud Engineering and/or
Databricks
Work Experience
- Minimum seven plus years of
experience in data analytics field
- Experience with Azure/AWS
Databricks
- Experience in building and optimizing
data pipelines, architectures and data
sets
- Excellent experience in Scala or
Python, PySpark and SQL
- Ability to troubleshoot and optimize
complex queries on the Spark
platform
- Knowledgeable on structured and
unstructured data design / modelling,
data access and data storage
techniques
- Expertise in designing and deploying
data applications on cloud solutions,
such as Azure or AWS
- Hands on experience in performance
tuning and optimizing code running in
Databricks environment
- Demonstrated analytical and
problem-solving skills particularly
those that apply to a big data
environment
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