Data Analyst
Pune, Maharashtra, India - Remote
Patona
Scale your business quickly with Patona's all-in-one platform. You can easily recruit new team members to help you achieve your goals. Get team members up and running quickly with smooth onboarding. Easily manage your team members from anywhere...Patona works with top enterprises and digital native businesses in Australia helping them build their remote teams in India and Sri Lanka. Working with well known market leading brands we pride ourselves with hiring great teams to work on exciting game changing technology. Patona currently has 200+ engineers, testers, product managers etc working across 20+ partners. We focus on uplifting the way organisations build and manage their remote teams through great working relationships, trust, integrity, culture and hiring processes. Additional to this we are building our own technology product offerings. Patona is Japanese for Partner (although we are not from Japan) we believe in partnerships with our clients and our people were everyone wins. This is the only way true partnerships thrive.
We are a rapidly growing, innovative and enthusiastic organisation, we believe in surrounding ourselves with great people. We strive to deliver the best outcomes for our customers, our partners and our people. We have multiple roles open working as part of a remote team for our partners in Australia. If this role does not quite match please reach out if you are interested in joining us as we currently have over 50 open opportunities.
Requirements
The role(s) will involve:
- Work with the Head of Data Engineer to establish the best data engineering platform
- Work with the Development team to source data and define APIs
- Work with the Cloud Engineering team to build and own your tech stack in production
- Work with the Data Analyst team to provide data cubes/models required
- Analyse and uncover the mysteries around the current bespoke data platform
- Migrate from the current platform to a new data platform
Specific Technical Skills Required:
- Minimum of 5 years of experience working in data sources such as: SQL Server, MySQL, Azure EventHub, RabbitMQ, AWS CloudWatch, Grafana
- Experience working in Datawarehouse in either of the Data warehouse platforms: AWS Redshift OR Snowflake OR Databricks OR Apache Hive
- Proficient in Data transformation tools: AWS Glue OR DBT OR Apache Spark
- Experience in AWS services such as Glue, Lambda, S3, ECS.
- Experience working with Workflow management platforms: AWS EMR OR Apache Airflow
- Proficient in data modelling
- Experience working with BI tools such as looker and tableau
Corporate Duties/Responsibilities
- Be a team player, work well with others.
- Great attention to detail – getting it right.
- Take responsibility for setting and achieving goals.
- Respect colleagues and clients.
- Contribute new ideas to benefit the overall business.
- Possess a positive attitude and "go the extra mile".
- Constantly look for ways to promote the business.
- Timely attendance to all meetings, and timely reporting (when required)
Benefits
- Private Health for you and your family
- Work remote or in any of our offices across India (wework offices)
- Home office setup bonus on joining
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs AWS AWS Glue Azure Databricks Data warehouse ECS Engineering Grafana Lambda Looker MySQL RabbitMQ Redshift Snowflake Spark SQL Tableau
Perks/benefits: Health care Home office stipend
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