About the role

Roles & responsibilities
Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack
Ability to provide solutions that are forward-thinking in data engineering and analytics space
Collaborating with DW/BI leads to understanding new ETL pipeline development requirements.
Triage issues to find gaps in existing pipelines and fix the issues
Work with businesses to understand the need in the reporting layer and develop a data model to fulfill
reporting needs
Help joiner team members to resolve issues and technical challenges.
Drive technical discussion with client architects and team members
Orchestrate the data pipelines in the scheduler via Airflow
Qualification & experience
Bachelor's and/or master's degree in computer science or equivalent experience.
Must have a total of 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects.
Deep understanding of Star and Snowflake dimensional modeling.
Strong knowledge of Data Management principles
Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture
Should have hands-on experience in SQL, Python, and Spark (PySpark)
Candidate must have experience in AWS/ Azure stack
Desirable to have ETL with batch and streaming (Kinesis).
Experience in building ETL / data warehouse transformation processes
Experience with Apache Kafka for use with streaming data / event-based data
Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala)
Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB,
Cassandra, Neo4J)
Experience working with structured and unstructured data including imaging & geospatial data.
Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, and GIT.
Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, an troubleshooting.
Databricks Certified Data Engineer Associate/Professional Certification (Desirable).
Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing
concurrent projects
Should have experience working in Agile methodology.
Strong verbal and written communication skills.
Strong analytical and problem-solving skills with a high attention to detail. Mandatory Skills:
Python/ PySpark / Spark with Azure/ AWS Databricks
Originally posted on Himalayas

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Role

Technology & IT Data Analysis MySQL Project Management Python Sales remote

Likely questions

Tell us about work you have done that is close to the Databricks role.
How would you approach your first 30 days at PradeepIT Consulting Services Pvt Ltd?
Which of Data Analysis, MySQL and Project Management have you used recently, and what did it help you achieve?
Describe a time you solved a problem without waiting to be told exactly what to do.
How do you stay organised and communicate clearly when working remotely?

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A recent example that proves your experience with Data Analysis, MySQL and Project Management.
One short story with a problem, your action, and the result.
Two examples that show the strengths listed on your CV.
A clear reason why this role and company interest you.
Your availability, preferred work style, and salary expectations.

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What would success look like in the first 90 days?
What are the main problems this hire should help solve?
How does the team give feedback and measure good work?
What does a normal working week look like for this role?

Practice line

I am interested in the Databricks role because I can bring practical experience in Data Analysis, MySQL and Project Management, learn the team quickly, and contribute to the outcomes PradeepIT Consulting Services Pvt Ltd needs from this hire.

Databricks

About the role

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