Chief Data Architect

3 days ago

Gurgaon, Haryana, India beBeeDataEngineering Full time ₹ 15,00,000 - ₹ 20,00,000
Job Description

Data Engineering Lead Role Overview:

This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences.

  • You'll be simplifying the bank through developing innovative data driven solutions, inspiring to be commercially successful through insight, and keeping our customers' and the bank's data safe and secure.

  • Participating actively in the data engineering community, you'll deliver opportunities to support our strategic direction while building your network across the bank.

  • We're recruiting for multiple roles across a range to levels, up to and including experienced managers.

Key Responsibilities:

Technical Leadership: We'll look to you to demonstrate technical and people leadership to drive value for the customer through modelling, sourcing and data transformation.

  • Working closely with core technology and architecture teams to deliver strategic data solutions, while driving Agile and DevOps adoption in the delivery of data engineering, leading a team of data engineers.

  • Developing comprehensive knowledge of the bank's data structures and metrics, advocating change where needed for product development.

  • Educating and embedding new data techniques into the business through role modelling, training and experiment design oversight.

Required Skills and Qualifications:

Essential Skills:

  • Expert level programmer and data engineer with a qualification in Computer Science or Software Engineering.

  • Strong understanding of data usage and dependencies with wider teams and the end customer, as well as extensive experience in extracting value and features from large scale data.

  • Knowledge of big data platforms like Snowflake, AWS Redshift, Postgres, MongoDB, Neo4J and Hadoop, along with good knowledge of cloud technologies such as Amazon Web Services, Google Cloud Platform and Microsoft Azure.

Desirable Skills:

  • Knowledge of core computer science concepts such as common data structures and algorithms, profiling or optimisation.

  • Understanding of machine-learning, information retrieval or recommendation systems.

  • Good working knowledge of CICD tools.

  • Knowledge of programming languages in data engineering such as Python or PySpark, SQL, Java, and Scala.

  • Understanding of Apache Spark and ETL tools like Informatica PowerCenter, Informatica BDM or DEI, Stream Sets and Apache Airflow.

  • Knowledge of messaging, event or streaming technology such as Apache Kafka.

  • Experience of ETL technical design, automated data quality testing, QA and documentation, data warehousing, data modelling and data wrangling.

  • Extensive experience using RDMS, ETL pipelines, Python, Hadoop and SQL.

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