BAU Lead - Data Engineering

Responsibilities
We are looking for a seasoned BAU Lead - Data Engineering to lead our data operations and support function in a cloud-first environment. The ideal candidate will bring strong technical leadership, hands-on expertise in AWS and Snowflake, and proven experience in managing Business-As-Usual (BAU) data platforms, production support, and continuous improvement initiatives.

. Develop tools to improve data flows between internal/external systems and the data lake/warehouse.

. Work with stakeholders to understand needs for data structure, availability, scalability, and accessibility.

. Build robust and reproducible data ingest pipelines to collect, clean, harmonize, merge, and consolidate data sources.

. Understanding existing data applications and infrastructure architecture

. Build and support new data feeds for various Data Management layers and Data Lakes

. Evaluate business needs and requirements.

. Support migration of existing data transformation jobs in Oracle, and MS-SQL to Snowflake.

. Lead the migration of the existing data transformation jobs in Oracle, Hive, Impala etc. into Spark, Python on Glue etc.

. Able to document the processes and steps.
. Develop and maintain datasets.

. Improve data quality and efficiency.

. Lead Business requirements and deliver accordingly.

. Collaborate with Data Scientists, Architect and Team on several Data Analytics projects.

. Collaborate with DevOps Engineer to improve system deployment and monitoring process.

. Experience in critical production support and how the BAU functions is preferred.
Key Skills:

. Lead a team of data engineers in managing day-to-day BAU operations, production support, incident management, and platform stability.

. Strong AWS knowledge in terms of designing new architecture and providing optimized solutions for existing ones. (S3, Glue, DMS, MWAA, AMS, IAM).

. In-depth knowledge with respect to Snowflake and its architecture.

. Prefer prior Experience in BAU environment.

. Good knowledge on Airflow and MWAA.

. Hands-on experience in SQL/Python/Pyspark.

. Expertise in optimizing techniques in cloud environments.

. Should have the vision on data strategy and able to deliver the same.

. Should be able to lead the design and implementation of data management processes, including data sourcing, integration, and transformation.

. Able to manage and lead a team of data professionals, providing guidance, mentoring and foster a collaborative and innovative team culture focused on continuous improvement.

. To evaluate and recommend data-related technologies, tools, and platforms.

. Collaborate with IT teams to ensure seamless integration of data solutions.

. Should have experience in Implementing and enforcing data security protocols and ensure compliance with relevant regulations.

Required Qualifications:

. At least 8+ years of Data Engineer Experience

. Bachelor qualification in a computer science or STEM (science, technology, engineering, or mathematics) related field.

. At least 5+ years of recent hands-on professional experience (actively coding) working as a Lead handling support & production issue.

. 2+ experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred.
. At least 3+ years of experience in ETL (AWS Glue), Amazon S3, Amazon RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step Functions.

. Professional experience working in an agile, dynamic and customer-facing environment is required.

. Understanding of distributed systems and cloud technologies (AWS) is highly preferred.

. Understanding of data streaming and scalable data processing is preferred to have.

. Strong knowledge in scripting languages like SQL ,Python, UNIX shell and Spark is required.

. Understanding of RDBMS, Data ingestions, Data flows, Data Integrations etc.

. Technical expertise with data models, data mining and segmentation techniques.

. Experience with full SDLC lifecycle and Lean or Agile development methodologies.

. Knowledge of CI/CD and GIT Deployments.

. Ability to work in team in diverse/ multiple stakeholder environment.

. Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams

Soft Skills

. Ability to work in a collaborative environment and coach other team members on coding practices, design principles, and implementation patterns that lead to high quality maintainable solutions.

. Excellent communications and stake-holder management are required.

. Ability to handle senior leadership and report to them if required.

. Ability to work in a dynamic, agile environment within a geographically distributed team.

. Ability to focus on promptly addressing customer needs.

. Ability to work within a diverse and inclusive team.

. Technically curious, self-motivated, versatile and solution-oriented