Role Proficiency This role requires proficiency in data pipeline development including coding and testing data pipelines for ingesting wrangling transforming and joining data from various sources Must be skilled in ETL tools such as Informatica Glue Databricks and DataProc with coding expertise in Python PySpark and SQL Works independently and has a deep understanding of data warehousing solutions including Snowflake BigQuery Lakehouse and Delta Lake Capable of calculating costs and understanding performance issues related to data solutions Outcomes Act creatively to develop pipelines and applications by selecting appropriate technical options optimizing application development maintenance and performance using design patterns and reusing proven solutions rnInterpret requirements to create optimal architecture and design developing solutions in accordance with specifications Document and communicate milestones stages for end-to-end delivery Code adhering to best coding standards debug and test solutions to deliver best-in-class quality Perform performance tuning of code and align it with the appropriate infrastructure to optimize efficiency Validate results with user representatives integrating the overall solution seamlessly Develop and manage data storage solutions including relational databases NoSQL databases and data lakes Stay updated on the latest trends and best practices in data engineering cloud technologies and big data tools Influence and improve customer satisfaction through effective data solutions Measures of Outcomes Adherence to engineering processes and standards Adherence to schedule timelines Adhere to SLAs where applicable of defects post delivery of non-compliance issues Reduction of reoccurrence of known defects Quickly turnaround production bugs Completion of applicable technical domain certifications Completion of all mandatory training requirements Efficiency improvements in data pipelines e g reduced resource consumption faster run times A

📌 Lead I (Bengaluru)
🏢 UST
📍 Bengaluru