Senior Data Engineering/ETL Lead

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. 

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Vice President Expectations

• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Step into the role of Senior Data Engineering/ETL Lead. At Barclays, we are more than a Bank, we are force of progress. As a Senior Data Engineering/ETL Lead you will build and maintain the systems that collect, store, process, and analyze data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

To be a successful Senior Data Engineering/ETL Lead, you should have experience with:

• ETL Tools Proficiency: Extensive experience in Architecture and Design with ETL tools such as Ab initio, Talend, Apache NiFi etc.

• Database Management Systems: Strong knowledge of relational databases like Oracle, SQL Server, and, as well as NoSQL databases such as MongoDB etc.

• SQL Expertise: Proficiency in writing complex SQL queries, stored procedures, and performance tuning for large datasets.

• Data Warehousing: Solid understanding of data warehousing concepts, including star schema, snowflake schema, and data marts.

• Programming Languages: Proficiency in programming languages commonly used in data engineering, such as Python, Java, or Scala.

Additional relevant skills given below are highly valued:

• Big Data Technologies: Experience with big data processing frameworks such as Apache Hadoop, Apache Spark, or Kafka.

• Cloud Platforms: Familiarity with cloud services like AWS, Google Cloud Platform, or Microsoft Azure, particularly in the context of data engineering and storage solutions.

• Data Visualization: Proficiency in data visualization tools like Tableau, Power BI, or QlikView to present complex data insights effectively.

• Machine Learning: Understanding of machine learning algorithms and their application in financial risk modeling and predictive analytics.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based in Pune.