Job Description

Senior Manager Data EngineeringIndia What job we expect you to do: Be able to gather and understand client objectives in the data engineering space; propose optimal database management/ETL pipeline management solution proposition and help develop overall roadmap
Effective collaboration with Sales team to enhance our pre-sales efforts in data engineering space
Guide the team working on various data engineering projects
Connecting, designing, scheduling, and deploying data warehouse systems
Developing data pipelines and enable dash boards for stakeholders
Develop, construct, test and maintain system architectures
Create best practices for data loading and extraction
Leading quick POCs for any data eccentric development task

What skills we expect you to bring: Strong programming skills, being well versed in Object-Oriented Programming system (OOPS), data structures, and algorithms
Should be comfortable in executing ETL (Extract, Transform and Load) processes which include data ingestion, data cleaning and curation into a data warehouse, database, or data platform
Be comfortable with SQL (mandatory), Python(mandatory), Scala (good to have) to manipulate and prepare data and conduct various analysis as needed
Experience on AWS/Azure stack
Experience of working on cloud based data warehousing platform like Snowflake would be an added advantage
Should be comfortable with schema designing
Experience in distributed computing environment
Experience in structured/unstructured data and batch processing/real-time processing (good to have)
Reading\writing data to\from various sources APIs, cloud storage, databases, big data platforms
Experience of working with Big Data environment such as Hadoop and the ecosystem
Creating web services to allow create, read, update and delete (CRUD) operations
Competent in project management framework such as Agile
Prior experience of working in CPG and/or Retail sector would be an added advantage
Good leadership skills
Excellent communication skills, both written and verbal
What Tools and Technologies we expect you to know? We understand one cannot be master of all. SQL
Python pandas, pySpark
Hadoop ecosystems (HDFS, HIVE, MapReduce, Pig, Spark, Hadoop etc.)
Apache Spark
Snowflake
AWS/Azure
Kafka
Linux
Airflow
How many years of experience do you need? At least 8 years of relevant experience
Education: Any Graduate
Industry: CRM/CallCentres/BPO/ITES/Med.Trans

Skills Required