Senior Apache Spark Technical Lead - Scala, Python

Job Description:

• Build pipelines to bring in wide variety of data from multiple sources within the organization as well as from social media and public data sources.
• Collaborate with cross functional teams to source data and make it available for downstream consumption.
• Work with the team to provide an effective solution design to meet business needs.
• Ensure regular communication with key stakeholders, understand any key concerns in how the initiative is being delivered or any risks/issues that have either not yet been identified or are not being progressed.
• Ensure dependencies and challenges (risks) are escalated and managed. Escalate critical issues to the Sponsor and/or Head of Data Engineering.
• Ensure timelines (milestones, decisions and delivery) are managed and value of initiative is achieved, without compromising quality and within budget.
• Ensure an appropriate and coordinated communications plan is in place for initiative execution and delivery, both internal and external.
• Ensure final handover of initiative to business-as-usual processes, carry out a post implementation review (as necessary) to ensure initiative objectives have been delivered, and any lessons learned are fed into future initiative management processes.

Who we are looking for:

Competencies & Personal Traits

• Work as a team player
• Excellent problem analysis skills
• Experience with at least one Cloud Infra provider (Azure/AWS)
• Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, Dataframe API) or Hive query language (HQL)
• Experience in building streaming data pipeline using Apache Spark Structured Streaming or Apache Flink on Kafka & Delta Lake
• Knowledge of NOSQL databases. Good to have experience in Cosmos DB, Restful API’s and GraphQL
• Knowledge of Big data ETL processing tools, Data modelling and Data mapping.
• Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
• Basic knowledge of scripting (shell / bash)
• Experience of working with multiple data sources including relational databases (SQL Server / Oracle / DB2 / Netezza), NoSQL / document databases, flat files
• Basic understanding of CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
• Basic understanding of DevOps practices using Git version control
• Ability to debug, fine tune and optimize large scale data processing jobs

Working Experience

• 12-15 years of broad experience of working with Enterprise IT applications in cloud platform and big data environments.

Professional Qualifications

• Certifications related to Data and Analytics would be an added advantage

Education

• Master/bachelor’s degree in STEM (Science, Technology, Engineering, Mathematics)

Language

• Fluency in written and spoken English