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