Data Engineer

1203 Barclays Global Serv. Cent; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

1203 Barclays Global Serv. Cent is seeking a data developer in Bengaluru to build and maintain systems for data collection and analysis. The candidate should have hands-on experience with data architecture, AWS tools, and Snowflake technology.

In this role, you will collaborate with data scientists, supervise a team, and ensure the secure handling of data. Strong knowledge of data transformation and storage solutions is essential.

Qualifications

• Proven experience in developing, testing, and maintaining applications on AWS Cloud.
• Hands-on experience building reusable components using AWS and Snowflake tools.
• Ability to engage with stakeholders and translate requirements into ETL components.

Responsibilities

• Build and maintain data architecture pipelines for data processing.
• Collaborate with data scientists to develop and deploy machine learning models.
• Supervise a team, guiding professional development and managing resources.

Skills

Hands-on experience in PySpark

Strong knowledge of DataFrames, RDD, and SparkSQL

Hands-on experience with AWS Cloud

Knowledge of AWS Data Analytics Technology Stack

Experience with Snowflake for data transformation and storage

Ability to write advanced SQL and PL/SQL

Experience in data ingestion and ELT pipeline development

Analytical and interpersonal skills

Tools

AWS Glue

AWS Lambda

DBT (Data Build Tool)

Apache Airflow

AbInitio ETL

Job description

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 maintain data architecture pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implement data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Develop processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaborate with data scientists to build and deploy machine learning models.

Analyst Expectations

• Perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Show in-depth technical knowledge and experience in the assigned area of expertise.
• Thorough understanding of the underlying principles and concepts within the area of expertise.
• Lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources; if the position has leadership responsibilities, demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard:
• L – Listen and be authentic
• E – Energise and inspire
• A – Align across the enterprise
• D – Develop others
• For an individual contributor, develop technical expertise in the work area and act as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Take responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies and procedures appropriately.
• Adise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to.
• Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with the function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex/sensitive information.
• Act as contact point for stakeholders outside of the immediate function.

Required Technical Skills

• Hands‑on experience in PySpark and strong knowledge of DataFrames, RDD, and SparkSQL.
• Hands‑on experience in developing, testing and maintaining applications on AWS Cloud.
• Strong knowledge of AWS Data Analytics Technology Stack (Glue, S3, Lambda, Lake Formation, Athena).
• Design and implement scalable and efficient data transformation/storage solutions using Snowflake.
• Experience in data ingestion to Snowflake for different storage formats such as Parquet, Iceberg, JSON, CSV etc.
• Experience using DBT (Data Build Tool) with Snowflake for ELT pipeline development.
• Experience in writing advanced SQL and PL/SQL programs.
• Hands‑on experience building reusable components using Snowflake and AWS tools/technology.
• Worked at least on two major project implementations.
• Exposure to data governance or lineage tools such as Immuta and Alation (added advantage).
• Experience with orchestration tools such as Apache Airflow or Snowflake Tasks (added advantage).
• Knowledge of AbInitio ETL tool is a plus.
• Ability to engage with stakeholders, elicit requirements/user stories and translate requirements into ETL components.
• Good knowledge of Data Marts and Data Warehousing concepts.
• Analytical and interpersonal skills.

Job Location

The role is based out of Bengaluru.