Digital S/W Eng Lead Analyst - C13 - PUNE

Job description

Job Title: Data Engineer – C13/VP The Role We are looking for a hands-on Data Engineer who is passionate about solving business problems through innovation and engineering practices. As a Data Engineer, you will leverage your deep technical knowledge to drive the creation of high-quality software products. You will also be expected to share your technical expertise and promote a culture of technical excellence within the team. The Data Engineer will work with a Team Lead and will be a code-contributing member of the team that will deliver solutions against the sprint-level commitments. Responsibilities • Code contributing member of an Agile team, working to deliver sprint goals. • Demonstrating technical knowledge and expertise in software development, including programming languages, frameworks, and best practices. • Actively contributes to the implementation of features and technical solutions. Write clean, efficient, and maintainable code that meets the highest standards of quality. • Collaborate with other Engineers to define and evolve the overall system architecture and design. • Provide guidance on scalable, robust, and efficient solutions that align with business requirements and industry best practices. • Offer expert engineering guidance and support to multiple teams, helping them overcome technical challenges, make informed decisions, and deliver high-quality software solutions. Foster a culture of technical excellence and continuous improvement. • Stay up to date with emerging technologies, tools, and industry trends. Evaluate their potential impact on the organization and provide recommendations for technology adoption and innovation. Required Qualifications • 5+ years’ experience of implementing data-intensive solutions using agile methodologies. • Proficient in one or more programming languages commonly used in data engineering such as Python, Java, or Scala. • Multiple years of experience with software engineering best practices (unit testing, automation, design patterns, peer review, etc.) • Multiple years of experience with Hadoop for data storage and processing is valuable, as is exposure to modern data platforms such as Snowflake and Databricks . • Multiple years of experience with Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.). • Multiple years of experience with open-source data engineering tools and frameworks (e.g. Spark , Kafka, Beam, Flink, Trino, Airflow, DBT) • Exposure to a range of table and file formats including Iceberg , Hive , Avro, Parquet and JSON • Multiple years of experience architecting and building horizontally scalable, highly available, highly resilient, and low latency applications • Strong proficiency in working with relational databases and using SQL for data querying, transformation, and manipulation. • Clear understanding of Data Structures and Object Oriented Principles. • Experience of modelling data for analytical consumers • Ability to automate and streamline the build, test and deployment of data pipelines. • Proven experience of providing technical vision and guidance to a data team. • Thrives in a dynamic environment, capable of managing multiple tasks simultaneously while maintaining a high standard of work. • BA/BS degree or equivalent work experience. Preferred Qualifications • Experience with Data Transformation tools like Ab Initio a plus. Appreciation of data parallelism, associated partitioning strategies and an understanding of key components in the GDE is particularly relevant. • Experience in cloud native technologies and patterns (AWS, Google Cloud) • Exposure to Infrastructure as Code tools (i.e., Terraform, Cloudformation, etc.) • Experience of driving and/or influencing the data strategy of your team or organization ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.