Job Location: Bengaluru
Summary :
– You have experience with client projects and in handling vast amounts of data – working on database design and development, data integration and ingestion, designing ETL architectures using a variety of ETL tools and techniques.
– You are someone with a drive to implement the best possible solutions for clients and work closely with a highly skilled Data Science team.
– Lead on projects from a data engineering perspective, working with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
– Plan and execute secure, good practise data integration strategies and approaches
– Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
– Create and manage data environments in the Cloud
– Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
– Have a strong understanding of Information Security principles to ensure compliant handling and management of client data
– This is a fantastic opportunity to be involved in end-to-end data management for cutting edge Advanced Analytics and Data Science
Qualifications :
– Commercial experience leading on client-facing projects, including working in close-knit teams
– 5+ years of experience and interest in Big Data technologies (Hadoop / Spark / NoSQL DBs)
– 5+ years of experience working on projects within the cloud ideally AWS or Azure
– 5+ years of experience working with streaming architectures and patterns like Kafka, Kinesis, Flink, or Confluent
– Experience with open-source tools like Apache Airflow and Griffin
– Experience with DevOps and DataOps patterns and tools like Jenkins, Kubernetes, Docker, and Terraform
– Data Warehousing experience with cloud products like Snowflake, Azure DW, or Redshift
– Experience building operational ETL data pipelines across a number of sources, and constructing relational and dimensional data models
– Experience with one or more ETL/ELT tools like Talend, Matillion, FiveTran, or Alooma
– Experience building automated data quality and testing into data pipelines
– Experience with AI, NLP, Machine Learning, etc. is a plus
– Strong development background with experience in at least two scriptings, object-oriented or functional programming language, etc. SQL, Python, Java, Scala, C#, R
– Experience working on live projects and a consulting setting, often working on different and multiple projects at the same time
– Excellent interpersonal skills when interacting with clients in a clear, timely, and professional manner.
– A deep personal motivation to always produce outstanding work for your clients and colleagues
– Excel in team collaboration and working with others from diverse skill-sets and backgrounds
– You can be a key part of this growing team of smart and passionate people who strive continuously to build a great place to work with and work for.
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