1015 Etl Process Jobs - Page 3

3+ yrs in BI operations Strong in BI monitoring and cross-functional collaboration. Monitor & Support BI systems Resolve incidents, Optimize workflows Ensure data reliability across tools Example - (Qlik, Power BI, Tableau, and SAP Analytics Cloud.) Required Candidate profile 3+ yrs in BI operations with hands-on in Power BI, Qlik & Tableau. Skilled in troubleshooting, data modeling, ETL, and incident resolution. Strong in BI monitoring and cross-functional collaboration.

Role Purpose: The Senior Data Engineer will support and enable the Data Architecture and the Data Strategy. Supporting solution architecture and engineering for data ingestion and modelling challenges. The role will support the deduplication of enterprise data tools, working with the Lonza Data Governance Board, Digital Council and IT to drive towards a single Data and Information Architecture. This will be a hands-on engineering role with a focus on business and digital transformation. The role will be responsible for managing and maintain the Data Architecture and solutions that deliver the platform at with operational support and troubleshooting. The Senior Data Engineer will also manage (no reporting line changes but from day-to-day delivery) and coordinate the Data Engineering team members (Internal and External) working on the various project implementations. Experience : 7-10 years experience with digital transformation and data projects. Experience in designing, delivering and managing data infrastructures. Proficiency in using Cloud Services (Azure) for data engineering, storage and analytics. Strong SQL and NoSQL experience Data Modelling Hands on developing pipelines, setting-up architectures in Azure Fabric. Team management experience (internal and external resources). Good understanding of data warehousing, data virtualization and analytics. Experience in working with data analysts, data scientists and BI teams to deliver on data requirements. Data Catalogue experience is a plus. ETL Pipeline Design is a plus Python Development skills is a plus Realtime data ingestion (E.g. Kafka) Licenses or Certifications Beneficial; ITIL, PM, CSM, Six Sigma, Lean Knowledge Good understanding about integration, ETL, API and Data sharing concepts. Understanding / Awareness of Visualization tools is a plus Knowledge and understanding of relevant legal and regulatory requirements, such as CFR 21 part 11, EU General Data Protection Regulation, Health Insurance Portability and Accountability Act (HIPAA) and GxP validation process would be a plus. Skills The position requires a pragmatic leader with sound knowledge of data, integration and analytics. Excellent written and verbal communication skills, interpersonal and collaborative skills, and the ability to communicate technical concepts to nontechnical audiences. Exhibit excellent analytical skills, the ability to manage and contribute to multiple projects under strict timelines, as well as the ability to work well in a demanding, dynamic environment and meet overall objectives. Project management skills: scheduling and resource management are a plus. Ability to motivate cross-functional, interdisciplinary teams to achieve tactical and strategic goals. Data Catalogue Project and Team management skills are plus. Strong SAP skills are a plus.

• Bachelor's degree in computer science, Information Technology, or a related field. • 3-5 years of experience in ETL development and data integration. • Proficiency in SQL and experience with relational databases such as Oracle, SQL Server, or MySQL. • Familiarity with data warehousing concepts and methodologies. • Hands-on experience with ETL tools like Informatica, Talend, SSIS, or similar. • Knowledge of data modeling and data governance best practices. • Strong analytical skills and attention to detail. • Excellent communication and teamwork skills. • Experience with Snowflake or willingness to learn and implement Snowflake-based solutions. • Experience with Big Data technologies such as Hadoop or Spark. • Knowledge of cloud platforms like AWS, Azure, or Google Cloud and their ETL services. • Familiarity with data visualization tools such as Tableau or Power BI. • Hands-on experience with Snowflake for data warehousing and analytics

To Apply - Mandatory to submit Details via Google Form - https://forms.gle/cCa1WfCcidgiSTgh8 Position : Senior Data Engineer - Total 8+ years Required Relevant 6+ years in Databricks, AWS, Apache Spark & Informatica (Required Skills) As a Senior data Engineer in our team, youll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations Seeking experienced data Engineer to design, implement, and maintain robust data pipelines and analytics solutions using databricks & AWS services. The ideal candidate will have a strong background in data services, big data technologies, and programming languages. Role & responsibilities Technical Leadership: Guide and mentor teams in designing and implementing Databricks solutions. Architecture & Design: Develop scalable data pipelines and architectures using Databricks Lakehouse. Data Engineering: Lead the ingestion and transformation of batch and streaming data. Performance Optimization: Ensure efficient resource utilization and troubleshoot performance bottlenecks. Security & Compliance: Implement best practices for data governance, access control, and compliance. Collaboration: Work closely with data engineers, analysts, and business stakeholders. Cloud Integration: Manage Databricks environments on Azure, AWS, or GCP. Monitoring & Automation: Set up monitoring tools and automate workflows for efficiency. Qualifications: 6+ years of experience in Databricks, AWS and 4+ Apache Spark, and Informatica. Excellent problem-solving and leadership skills. Good to have these skills 1. Design and implement scalable, high-performance data pipelines using AWS services 2. Develop and optimize ETL processes using AWS Glue, EMR, and Lambda 3. Build and maintain data lakes using S3 and Delta Lake 4. Create and manage analytics solutions using Amazon Athena and Redshift 5. Design and implement database solutions using Aurora, RDS, and DynamoDB 6. Develop serverless workflows using AWS Step Functions 7. Write efficient and maintainable code using Python/PySpark, and SQL/PostgrSQL 8. Ensure data quality, security, and compliance with industry standards 9. Collaborate with data scientists and analysts to support their data needs 10. Optimize data architecture for performance and cost-efficiency 11. Troubleshoot and resolve data pipeline and infrastructure issues Preferred candidate profile (Good to have) 1. Bachelors degree in computer science, Information Technology, or related field 2. Relevant years of experience as a Data Engineer, with at least 60% of experience focusing on AWS 3. Strong proficiency in AWS data services: Glue, EMR, Lambda, Athena, Redshift, S3 4. Experience with data lake technologies, particularly Delta Lake 5. Expertise in database systems: Aurora, RDS, DynamoDB, PostgreSQL 6. Proficiency in Python and PySpark programming 7. Strong SQL skills and experience with PostgreSQL 8. Experience with AWS Step Functions for workflow orchestration Technical Skills: Good to have - AWS Services: Glue, EMR, Lambda, Athena, Redshift, S3, Aurora, RDS, DynamoDB , Step Functions - Big Data: Hadoop, Spark, Delta Lake - Programming: Python, PySpark - Databases: SQL, PostgreSQL, NoSQL - Data Warehousing and Analytics - ETL/ELT processes - Data Lake architectures - Version control: Git - Agile methodologies

Job Title: Big Data Developer Project Support & Mentorship Location: Mumbai Position Overview: We are seeking a skilled Big Data Developer to join our growing delivery team, with a dual focus on hands-on project support and mentoring junior engineers. This role is ideal for a developer who not only thrives in a technical, fast-paced environment but is also passionate about coaching and developing the next generation of talent. You will work on live client projects, provide technical support, contribute to solution delivery, and serve as a go-to technical mentor for less experienced team members. Key Responsibilities: Perform hands-on Big Data development work, including coding, testing, troubleshooting, and deploying solutions. Support ongoing client projects, addressing technical challenges and ensuring smooth delivery. Collaborate with junior engineers to guide them on coding standards, best practices, debugging, and project execution. Review code and provide feedback to junior engineers to maintain high quality and scalable solutions. Assist in designing and implementing solutions using Hadoop, Spark, Hive, HDFS, and Kafka. Lead by example in object-oriented development, particularly using Scala and Java. Translate complex requirements into clear, actionable technical tasks for the team. Contribute to the development of ETL processes for integrating data from various sources. Document technical approaches, best practices, and workflows for knowledge sharing within the team. Required Skills and Qualifications: 8+ years of professional experience in Big Data development and engineering. Strong hands-on expertise with Hadoop, Hive, HDFS, Apache Spark, and Kafka. Solid object-oriented development experience with Scala and Java. Strong SQL skills with experience working with large data sets. Practical experience designing, installing, configuring, and supporting Big Data clusters. Deep understanding of ETL processes and data integration strategies. Proven experience mentoring or supporting junior engineers in a team setting. Strong problem-solving, troubleshooting, and analytical skills. Excellent communication and interpersonal skills. Preferred Qualifications: Professional certifications in Big Data technologies (Cloudera, Databricks, AWS Big Data Specialty, etc.). Experience with cloud Big Data platforms (AWS EMR, Azure HDInsight, or GCP Dataproc). Exposure to Agile or DevOps practices in Big Data project environments. What We Offer: Opportunity to work on challenging, high-impact Big Data projects. Leadership role in shaping and mentoring the next generation of engineers. Supportive and collaborative team culture. Flexible working environment Competitive compensation and professional growth opportunities.

Acuity Knowledge Partners (Acuity) is a leading provider of bespoke research, analytics and technology solutions to the financial services sector, including asset managers, corporate and investment banks, private equity and venture capital firms, hedge funds and consulting firms. Its global network of over 6,000 analysts and industry experts, combined with proprietary technology, supports more than 600 financial institutions and consulting companies to operate more efficiently and unlock their human capital, driving revenue higher and transforming operations. Acuity is headquartered in London and operates from 10 locations worldwide. The company fosters a diverse, equitable and inclusive work environment, nurturing talent, regardless of race, gender, ethnicity or sexual orientation. Acuity was established as a separate business from Moodys Corporation in 2019, following its acquisition by Equistone Partners Europe (Equistone). In January 2023, funds advised by global private equity firm Permira acquired a majority stake in the business from Equistone, which remains invested as a minority shareholder. For more information, visit www.acuitykp.com Position Title- Associate Director (Senior Architect – Data) Department-IT Location- Gurgaon/ Bangalore Job Summary The Enterprise Data Architect will enhance the company's strategic use of data by designing, developing, and implementing data models for enterprise applications and systems at conceptual, logical, business area, and application layers. This role advocates data modeling methodologies and best practices. We seek a skilled Data Architect with deep knowledge of data architecture principles, extensive data modeling experience, and the ability to create scalable data solutions. Responsibilities include developing and maintaining enterprise data architecture, ensuring data integrity, interoperability, security, and availability, with a focus on ongoing digital transformation projects. Key Responsibilities 1. Strategy & Planning o Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders. o Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap. o Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity. o Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement. o Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. o Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving. o Ensure that data strategies and architectures are aligned with regulatory compliance. o Develop a comprehensive data strategy in collaboration with different stakeholders that aligns with the transformational projects’ goals. o Ensure effective data management throughout the project lifecycle. 2. Acquisition & Deployment o Ensure the success of enterprise-level application rollouts (e.g. ERP, CRM, HCM, FP&A, etc.) Liaise with vendors and service providers to select the products or services that best meet company goals 3. Operational Management o Assess and determine governance, stewardship, and frameworks for managing data across the organization. o Develop and promote data management methodologies and standards. o Document information products from business processes and create data entities o Create entity relationship diagrams to show the digital thread across the value streams and enterprise o Create data normalization across all systems and data base to ensure there is common definition of data entities across the enterprise o Document enterprise reporting needs develop the data strategy to enable single source of truth for all reporting data o Address the regulatory compliance requirements of each country and ensure our data is secure and compliant o Select and implement the appropriate tools, software, applications, and systems to support data technology goals. o Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. o Collaborate with project managers and business unit leaders for all projects involving enterprise data. o Address data-related problems regarding systems integration, compatibility, and multiple-platform integration. o Act as a leader and advocate of data management, including coaching, training, and career development to staff. o Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture. o Document the data architecture and environment to maintain a current and accurate view of the larger data picture. o Identify and develop opportunities for data reuse, migration, or retirement. 4. Data Architecture Design: o Develop and maintain the enterprise data architecture, including data models, databases, data warehouses, and data lakes. o Design and implement scalable, high-performance data solutions that meet business requirements. 5. Data Governance: o Establish and enforce data governance policies and procedures as agreed with stakeholders. o Maintain data integrity, quality, and security within Finance, HR and other such enterprise systems. 6. Data Migration: o Oversee the data migration process from legacy systems to the new systems being put in place. o Define & Manage data mappings, cleansing, transformation, and validation to ensure accuracy and completeness. 7. Master Data Management: o Devise processes to manage master data (e.g., customer, vendor, product information) to ensure consistency and accuracy across enterprise systems and business processes. o Provide data management (create, update and delimit) methods to ensure master data is governed 8. Stakeholder Collaboration: o Collaborate with various stakeholders, including business users, other system vendors, and stakeholders to understand data requirements. o Ensure the enterprise system meets the organization's data needs. 9. Training and Support: o Provide training and support to end-users on data entry, retrieval, and reporting within the candidate enterprise systems. o Promote user adoption and proper use of data. 10 Data Quality Assurance: o Implement data quality assurance measures to identify and correct data issues. o Ensure the Oracle Fusion and other enterprise systems contain reliable and up-to-date information. 11. Reporting and Analytics: o Facilitate the development of reporting and analytics capabilities within the Oracle Fusion and other systems o Enable data-driven decision-making through robust data analysis. 1. Continuous Improvement: o Continuously monitor and improve data processes and the Oracle Fusion and other system's data capabilities. o Leverage new technologies for enhanced data management to support evolving business needs. Technology and Tools: Oracle Fusion Cloud Data modeling tools (e.g., ER/Studio, ERwin) ETL tools (e.g., Informatica, Talend, Azure Data Factory) Data Pipelines: Understanding of data pipeline tools like Apache Airflow and AWS Glue. Database management systems: Oracle Database, MySQL, SQL Server, PostgreSQL, MongoDB, Cassandra, Couchbase, Redis, Hadoop, Apache Spark, Amazon RDS, Google BigQuery, Microsoft Azure SQL Database, Neo4j, OrientDB, Memcached) Data governance tools (e.g., Collibra, Informatica Axon, Oracle EDM, Oracle MDM) Reporting and analytics tools (e.g., Oracle Analytics Cloud, Power BI, Tableau, Oracle BIP) Hyperscalers / Cloud platforms (e.g., AWS, Azure) Big Data Technologies such as Hadoop, HDFS, MapReduce, and Spark Cloud Platforms such as Amazon Web Services, including RDS, Redshift, and S3, Microsoft Azure services like Azure SQL Database and Cosmos DB and experience in Google Cloud Platform services such as BigQuery and Cloud Storage. • Programming Languages: (e.g. using Java, J2EE, EJB, .NET, WebSphere, etc.) o SQL: Strong SQL skills for querying and managing databases. Python: Proficiency in Python for data manipulation and analysis. Java: Knowledge of Java for building data-driven applications. Data Security and Protocols: Understanding of data security protocols and compliance standards. Key Competencies Qualifications: • Education: o Bachelor’s degree in computer science, Information Technology, or a related field. Master’s degree preferred. Experience: 10+ years overall and at least 7 years of experience in data architecture, data modeling, and database design. Proven experience with data warehousing, data lakes, and big data technologies. Expertise in SQL and experience with NoSQL databases. Experience with cloud platforms (e.g., AWS, Azure) and related data services. Experience with Oracle Fusion or similar ERP systems is highly desirable. Skills: Strong understanding of data governance and data security best practices. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work effectively in a collaborative team environment. Leadership experience with a track record of mentoring and developing team members. Excellent in documentation and presentations. Good knowledge of applicable data privacy practices and laws. Certifications: Relevant certifications (e.g., Certified Data Management Professional, AWS Certified Big Data – Specialty) are a plus. Behavioral • A self-starter, an excellent planner and executor and above all, a good team player • Excellent communication skills and inter-personal skills are a must • Must possess organizational skills, including multi-task capability, priority setting and meeting deadlines • Ability to build collaborative relationships and effectively leverage networks to mobilize resources • Initiative to learn business domain is highly desirable Likes dynamic and constantly evolving environment and requirements

Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients acrossbanking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT JOB SUMMARY: Position Sr Consultant Location Capco Locations (Bengaluru/ Chennai/ Hyderabad/ Pune/ Mumbai/ Gurugram) Band M3/M4 (8 to 14 years) Role Description: Job TitleSenior Consultant - Data Engineer Responsibilities Design, build and optimise data pipelines and ETL processes in Azure Databricks ensuring high performance, reliability, and scalability. Implement best practices for data ingestion, transformation, and cleansing to ensure data quality and integrity. Work within clients best practice guidelines as set out by the Data Engineering Lead Work with data modellers and testers to ensure pipelines are implemented correctly. Collaborate as part of a cross-functional team to understand business requirements and translate them into technical solutions. Role Requirements Strong Data Engineer with experience in Financial Services Knowledge of and experience building data pipelines in Azure Databricks Demonstrate a continual desire to implement strategic or optimal solutions and where possible, avoid workarounds or short term tactical solutions Work within an Agile team Experience/Skillset 8+ years experience in data engineering Good skills in SQL, Python and PySpark Good knowledge of Azure Databricks (understanding of delta tables, Apache Spark, Unity Catalog) Experience writing, optimizing, and analyzing SQL and PySpark code, with a robust capability to interpret complex data requirements and architect solutions Good knowledge of SDLC Familiar with Agile/Scrum ways of working Strong verbal and written communication skills Ability to manage multiple priorities and deliver to tight deadlines WHY JOIN CAPCO You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer A work culture focused on innovation and creating lasting value for our clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients A diverse, inclusive, meritocratic culture We offer: A work culture focused on innovation and creating lasting value for our clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients #LI-Hybrid

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Developed the Pysprk code for AWS Glue jobs and for EMR. Worked on scalable distributed data system using Hadoop ecosystem in AWS EMR, MapR distribution.. Developed Python and pyspark programs for data analysis. Good working experience with python to develop Custom Framework for generating of rules (just like rules engine). Developed Hadoop streaming Jobs using python for integrating python API supported applications.. Developed Python code to gather the data from HBase and designs the solution to implement using Pyspark. Apache Spark DataFrames/RDD's were used to apply business transformations and utilized Hive Context objects to perform read/write operations.. Re - write some Hive queries to Spark SQL to reduce the overall batch time Preferred technical and professional experience Understanding of Devops. Experience in building scalable end-to-end data ingestion and processing solutions Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs.Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Developed the Pysprk code for AWS Glue jobs and for EMR. Worked on scalable distributed data system using Hadoop ecosystem in AWS EMR, MapR distribution.. Developed Python and pyspark programs for data analysis. Good working experience with python to develop Custom Framework for generating of rules (just like rules engine). Developed Hadoop streaming Jobs using python for integrating python API supported applications.. Developed Python code to gather the data from HBase and designs the solution to implement using Pyspark. Apache Spark DataFrames/RDD's were used to apply business transformations and utilized Hive Context objects to perform read/write operations.. Re- write some Hive queries to Spark SQL to reduce the overall batch time Preferred technical and professional experience Understanding of Devops. Experience in building scalable end-to-end data ingestion and processing solutions Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala

We are looking for a skilled Senior Power BI Analyst to join our team at Apps Associates (I) Pvt. Ltd, with 7-10 years of experience in the IT Services & Consulting industry. Roles and Responsibility Design and develop interactive dashboards using Power BI to provide data-driven insights. Collaborate with stakeholders to understand business requirements and develop reports. Develop and maintain databases, data models, and ETL processes to support reporting needs. Troubleshoot issues with existing reports and resolve them efficiently. Work with cross-functional teams to identify areas for process improvement and implement changes. Stay updated with the latest features and best practices in Power BI and data visualization. Job Requirements Strong understanding of data modeling, database design, and ETL processes. Proficiency in developing complex queries and writing efficient code. Excellent communication and collaboration skills, with the ability to work with stakeholders at all levels. Strong problem-solving skills, with the ability to analyze complex issues and develop creative solutions. Ability to work in a fast-paced environment, delivering high-quality results under tight deadlines. Experience working with large datasets, developing scalable solutions, and optimizing performance.

Roles and Responsibility Design and develop interactive dashboards using Power BI to provide data-driven insights. Collaborate with stakeholders to understand business requirements and develop solutions. Develop and maintain databases, data models, and ETL processes to support reporting needs. Create reports, visualizations, and analytics to drive business decisions. Troubleshoot issues and optimize performance for improved efficiency. Work closely with cross-functional teams to ensure seamless integration of Power BI solutions. Job Requirements Strong understanding of data modeling, database design, and ETL concepts. Proficiency in developing complex queries and writing efficient code. Excellent communication skills to effectively collaborate with stakeholders. Ability to work independently and as part of a team to deliver high-quality results. Strong problem-solving skills to analyze complex issues and develop creative solutions. Experience working with large datasets and performing data analysis to drive business insights.

Your future role Take on a new challenge and apply your engineering and project management expertise in a cutting-edge field. Youll work alongside a collaborative and dynamic team of professionals. You'll play a pivotal role in driving operational governance, supporting tender management, and executing workload conversion strategies. Day-to-day, youll work closely with teams across the business (such as site engineering leaders, sourcing, industrial, and installation representatives), develop governance methodologies, and oversee the execution of services development strategies. Youll specifically take care of managing technical scopes end-to-end (ISR-ISC) and ensuring the delivery of technically robust and cost-competitive proposals, but also developing clear and concise presentations for senior management. Well look to you for: Ensuring smooth operation of service domains by introducing and driving operational governance methodologies Services development strategy support, Tender Management Developing and maintaining systems for tracking action items and deadlines Overseeing internal dashboards and ensuring alignment of workload conversion strategies with business goals Managing a team to deliver tenders end-to-end, ensuring quality, cost, and delivery commitments Analyzing gaps between customer specifications and standard solutions to define compliance strategies Coordinating technical stakeholders and consolidating technical documentation for bid preparation Providing engineering effort estimates for bid preparations Engaging with domain teams to ensure our efforts align with the overall business goals and service delivery standards. Focusing on initiatives that yield tangible business benefits, ensuring that our services not only meet operational requirements but also enhance overall business performance. LCC governance, BCC,E2E ISR-ISC Analyze, with the support of System Application Architect(s), the gaps between the customer's specification and standard solutions and products and support BTM and Tender Leader in defining the most suitable compliance strategy. Consolidate the technical assumptions applicable to the bid Involved in performance measurements Services development strategy governance -Drive E2E governance ISR to ISC Simple /Clarity in communication/presentation to depict Services development strategy progress Data driven governance Clear digital dashboard, Action trackers, MoM OTIF, workload target, forecast, actual hours, right first time, budget adherence, diversity index, CFB score, PO and Invoices on-time. All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: University degree in Railway Engineering, Electronics, or Electrical and Mechanical Engineering 15+ years of experience in the engineering domain 3+ years of project management or relevant experience Experience leading cross-functional teams Knowledge of rolling stock equipment and tender/project management Proficiency in MS Office tools and BI applications Strong presentation and communication skills Capacity for managing technical risks and problem-solving Attention to detail and ability to work independently Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges, and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our flexible and inclusive working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards leadership or specialized roles Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension)

Note- Immediate joiners will be given preference ! Type - Contractual Mode- first one month Work from office , then remote Job description :- Data Engineer Design, develop, and maintain robust and scalable data pipelines to support data integration, transformation, and analytics Build and maintain data architecture for both structured and unstructured data Develop and optimize ETL processes using tools such as Apache Spark, Kafka, or Airflow Work with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions Ensure high data quality and integrity across the pipeline Implement data security and governance standards Monitor and troubleshoot performance issues in data pipelines Proficiency in SQL and experience with relational and NoSQL databases Hands-on experience with data pipeline tools Good understanding of data warehousing concepts and tools Strong communication and collaboration skills Analytical mindset and attention to detail Familiarity with SSRS (SQL Server Reporting Services) for creating reports Expertise in SQL query optimization, stored procedures, and database tuning Hands-on experience with data migration and replication techniques, including Change Data Capture (CDC) and SQL Server Integration Services (SSIS) Strong understanding of dimensional modelling and data warehousing concepts, including star and snowflake schemas. Familiarity with Agile methodologies and DevOps practices for continuous integration and deployment (CI/CD) pipelines. Familiarity with Data Cubes Soft Skills would include : Good problem solving and decision making skills Dynamic self-starter, independent (but confident to ask questions to clarify), adaptable and able to handle pressure. Good communication skills and team player Attention to detail Curious and Continuous learning mindset Time management skills Accountability and ownership

Project description You will be working in a global team that manages and performs a global technical control. Responsibilities Demonstrate proficiency with PostgreSQL and SQL Server Application DBA tasks, ensuring robust database management and optimization. Implementation of quality control functionality for business rules (logic) in database. Design, build, develop, and manage pipelines using Database Technologies Understand Database Technologies and can migrate business rules from one DB technology to another. Collaborate closely with the Application and Databricks team members to develop robust data solutions that support our security initiatives. Implement, monitor, and optimize data processes, ensuring adherence to security and data governance best practices. Implementation of monitoring and logging processes using Azure database capabilities. Troubleshoot and resolve data-related issues, ensuring data quality and accessibility. Document procedures and workflows associated with data pipelines, contributing to best practices. Share knowledge about latest Azure Database trends and techniques. Conduct regular reviews of the system, identify possible security risks, and implement preventive measures. Skills Must have Excellent command of English Bachelor's or Master's degree in Computer Science, Information Technology, or related field. 5+ years of experience in managing Database driven application and pipeline development using Azure PostgreSQL or SQL Server Database Strong understanding of security principles in the context of dat. Proven experience with Python, SQL (Functions and Procedures) and other data query languages. Ability to write, debug, and optimize data transformations and datasets. Extensive experience in designing and implementing ETL solutions using Azure Database or similar technologies. Proficiency with scripting languages such as Python. Proficiency with CI/CD set for database objects release management. Nice to have Experience working in Agile (Scrum, Kanban etc..) development process.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also be responsible for troubleshooting issues and providing guidance to team members, fostering a collaborative environment that encourages innovation and efficiency in application development. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior team members to support their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud computing platforms and services.- Familiarity with data governance and security best practices.- Ability to work with large datasets and perform data analysis. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing application features, and ensuring that the solutions align with business objectives. You will also engage in testing and troubleshooting to enhance application performance and user experience, while continuously seeking opportunities for improvement and innovation in application development processes. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data modeling and ETL processes.- Experience with SQL and database management.- Familiarity with cloud computing concepts and services.- Ability to troubleshoot and optimize application performance. Additional Information:- The candidate should have minimum 3 years of experience in Snowflake Data Warehouse.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will also engage in testing and troubleshooting to enhance application performance and user experience, while continuously seeking opportunities for improvement and optimization in the development process. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application specifications and user guides.- Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud-based data solutions and analytics.- Familiarity with programming languages such as Python or Scala.- Knowledge of data governance and security best practices. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing application features, and ensuring that the applications function seamlessly within the business environment. You will engage in problem-solving discussions, contribute innovative ideas, and refine applications based on user feedback, all while maintaining a focus on quality and efficiency in your work. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Collaborate with cross-functional teams to ensure alignment on project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data modeling and ETL processes.- Experience with SQL and database management.- Familiarity with cloud computing concepts and services.- Ability to troubleshoot and optimize application performance. Additional Information:- The candidate should have minimum 3 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will also participate in testing and debugging processes to ensure the applications function as intended, while continuously seeking ways to enhance application efficiency and user experience. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application specifications and user guides.- Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud-based data solutions and analytics.- Familiarity with programming languages such as Python or Scala.- Ability to work with data visualization tools to present insights. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, participate in team meetings, and contribute to the overall success of projects by leveraging your expertise in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud-based data solutions and architectures.- Familiarity with programming languages such as Python or Scala.- Ability to work with data visualization tools to present insights effectively. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will also participate in testing and debugging processes to deliver high-quality applications that meet user expectations and business goals. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application specifications and user guides.- Collaborate with cross-functional teams to gather requirements and provide technical insights. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud computing platforms and services.- Familiarity with programming languages such as Python or Scala.- Knowledge of data visualization techniques and tools. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive project success. You will also engage in problem-solving activities, providing guidance and support to your team members while ensuring that best practices are followed throughout the development process. Your role will be pivotal in shaping the direction of application projects and ensuring that they meet the highest standards of quality and functionality. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training and development opportunities for team members to enhance their skills.- Monitor project progress and implement necessary adjustments to ensure timely delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud computing platforms and services.- Familiarity with data governance and compliance standards.- Ability to work with large datasets and perform data analysis. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse Good to have skills : Amazon Web Services (AWS), Data Warehouse ETL Testing, Oracle Procedural Language Extensions to SQL (PLSQL)Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Mentor junior professionals in best practices for data engineering.- Continuously evaluate and improve data processes to enhance efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Good To Have Skills: Experience with Oracle Procedural Language Extensions to SQL (PLSQL), Amazon Web Services (AWS), Data Warehouse ETL Testing.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and techniques.- Familiarity with data governance and data quality frameworks. Additional Information:- The candidate should have minimum 12 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse Good to have skills : Amazon Web Services (AWS), Data Warehouse ETL Testing, Oracle Procedural Language Extensions to SQL (PLSQL)Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and provide innovative solutions to enhance data accessibility and usability. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to optimize performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Good To Have Skills: Experience with Oracle Procedural Language Extensions to SQL (PLSQL), Amazon Web Services (AWS), Data Warehouse ETL Testing.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and techniques.- Proficient in writing complex SQL queries for data manipulation and analysis. Additional Information:- The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : Snowflake Data Warehouse, Oracle Procedural Language Extensions to SQL (PLSQL)Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also be responsible for ensuring that the data models align with best practices and methodologies, facilitating discussions to gather requirements, and providing insights that drive data-driven decision-making across the organization. Your role will be pivotal in bridging the gap between technical and non-technical teams, ensuring that data is accurately represented and utilized effectively within the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Develop and maintain comprehensive documentation of data models and architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Good To Have Skills: Experience with Data Architecture Principles, Snowflake Data Warehouse, Oracle Procedural Language Extensions to SQL (PLSQL).- Strong understanding of relational and dimensional data modeling.- Experience with data integration and ETL processes.- Familiarity with data governance and data quality principles. Additional Information:- The candidate should have minimum 12 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education