Data Analyst/Engineer I 6 to 12 years I Pan India

Job Description

1. 1. Must have knowledge in Azure Datalake, Azure function, Azure Databricks, Azure data factory, PostgreSQL
   2. Working knowledge in Azure devops, Git flow would be an added advantage.

(OR)

• SET 2:
  1. Must have working knowledge in AWS Kinesis, AWS EMR, AWS Glue, AWS RDS, AWS Athena, AWS RedShift.
• Should have demonstrable knowledge and expertise in working with timeseries data. Working knowledge in delivering data engineering / data science projects in Industry 4.0 is an added advantage.
• Should have knowledge on Palantir.
• Strong problem-solving skills with an emphasis on sustainable and reusable development.
• Experience using statistical computer languages to manipulate data and draw insights from large data sets : Python/PySpark, Pandas, Numpy seaborn / matplotlib,
• Knowledge in Streamlit.io is a plus
• Familiarity with Scala, GoLang, Java would be added advantage.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational databases such as Microsoft SQL Server, MySQL, PostGreSQL, Oracle and NoSQL databases such as Hadoop, Cassandra, Mongo dB
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Strong analytic skills related to working with unstructured datasets.

Primary Skills

• Provide innovative solutions to the data engineering problems that are faced in the project and solve them with technically superior code & skills.
• Where possible, should document the process of choosing technology or usage of integration patterns and help in creating a knowledge management artefact that can be used for other similar areas.
• Create & apply best practices in delivering the project with clean code.
• Should work innovatively and have a sense of proactiveness in fulfilling the project needs.

Additional Information:

• Reporting to      :             Director- Intelligent Insights and Data Strategy
• Travel                  :             Must be willing to be deployed at client locations anywhere in the world for long and short term as well as should be flexible to travel on shorter duration within India and abroad