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 Average time to detect respond to and resolve pipeline failures or data issues Number of data security incidents or compliance breaches Outputs Expected Code Development Develop data processing code independently ensuring it meets performance and scalability requirements Define coding standards templates and checklists Review code for team members and peers Documentation Create and review templates checklists guidelines and standards for design processes and development Create and review deliverable documents including design documents architecture documents infrastructure costing business requirements source-target mappings test cases and results Configuration Define and govern the configuration management plan Ensure compliance within the team Testing Review and create unit test cases scenarios and execution plans Review the test plan and test strategy developed by the testing team Provide clarifications and support to the testing team as needed Domain Relevance Advise data engineers on the design and development of features and components demonstrating a deeper understanding of business needs Learn about customer domains to identify opportunities for value addition Complete relevant domain certifications to enhance expertise Project Management Manage the delivery of modules effectively Defect Management Perform root cause analysis RCA and mitigation of defects Identify defect trends and take proactive measures to improve quality Estimation Create and provide input for effort and size estimation for projects Knowledge Management Consume and contribute to project-related documents SharePoint libraries and client universities Review reusable documents created by the team Release Management Execute and monitor the release process to ensure smooth transitions Design Contribution Contribute to the creation of high-level design HLD low-level design LLD and system architecture for applications business components and data models Customer Interface Clarify requirements and provide guidance to the development team Present design options to customers and conduct product demonstrations Team Management Set FAST goals and provide constructive feedback Understand team members aspirations and provide guidance and opportunities for growth Ensure team engagement in projects and initiatives Certifications Obtain relevant domain and technology certifications to stay competitive and informed Skill Examples Proficiency in SQL Python or other programming languages used for data manipulation Experience with ETL tools such as Apache Airflow Talend Informatica AWS Glue Dataproc and Azure ADF Hands-on experience with cloud platforms like AWS Azure or Google Cloud particularly with data-related services e g AWS Glue BigQuery Conduct tests on data pipelines and evaluate results against data quality and performance specifications Experience in performance tuning of data processes Expertise in designing and optimizing data warehouses for cost efficiency Ability to apply and optimize data models for efficient storage retrieval and processing of large datasets Capacity to clearly explain and communicate design and development aspects to customers Ability to estimate time and resource requirements for developing and debugging features or components Knowledge Examples Knowledge Examples Knowledge of various ETL services offered by cloud providers including Apache PySpark AWS Glue GCP DataProc DataFlow Azure ADF and ADLF Proficiency in SQL for analytics including windowing functions Understanding of data schemas and models relevant to various business contexts Familiarity with domain-related data and its implications Expertise in data warehousing optimization techniques Knowledge of data security concepts and best practices Familiarity with design patterns and frameworks in data engineering Additional Comments Mandatory Skills ETL Datastage Shell Script Python SQL DB Skill to Evaluate ETL-Datastage Experience 6 to 10 Years Location Bengaluru The Project requirement is the individual should have good understanding of IBM ETL Datastage in terms of Support Maintenance Development and preferably administration Value-Additions through utilities Automations which aligns with GISC-IN s direction Technology greenlighting is a constant focus of the customer and hence technology upgrades Refinements is a common phenomenon Cross-skilling skill upgrade is a culture that s followed in the project The candidate should be technically strong and should be willing to work on multiple integration technologies Exposure to multiple integration technologies is an added benefit to the team Education Qualificaiton B E B Tech M C A Job Title IBM ETL Datastage Consultant Roles Responsibilities Analyse data requirements and develop data pipelines to support reporting and analytics in ETL Datastage Should have positive knowledge on Unix Linux Shell Scripting Should have experience in fine-tuning process and troubleshooting performance issue Experience in source code control systems like git GitHub etc Experience in deployment and operationalizing the code knowledge of scheduling tools like Control-M etc is preferred Experience in CI CD tools like Jenkins Ansible etc Ensuring that day-to-day deliverables of the team are met for IBM ETL Datastage Day to day deliverables include Development Enhancements Access provision revoke code migrations code refactor Job compilations Job unlock clear support issues Testing support e t c Must be willing to Support other integration technologies that the team handles KT for other integration technologies will be provided Flexibility to work in different shifts within IST hours No night shift Weekend Holiday support on rotation basis Project Details This project operates within the Entertainment domain with a global footprint across multiple territories It leverages a diverse range of integration technologies Skills Etl Datastage Shell Script Python SQL DB About Company UST is a global digital transformation solutions provider For more than 20 years UST has worked side by side with the world s best companies to make a real impact through transformation Powered by technology inspired by people and led by purpose UST partners with their clients from design to operation With deep domain expertise and a future-proof philosophy UST embeds innovation and agility into their clients organizations With over 30 000 employees in 30 countries UST builds for boundless impact touching billions of lives in the process

📌 Lead I - Data Engineering (Bengaluru)
🏢 UST
📍 Bengaluru