155 Etl Development Jobs - Page 7

Support enhancements to the MDM platform Track System Performance Troubleshoot issues Resolve production issues Required Candidate profile 5+ years in Python and advanced SQL including profiling, refactoring Experience with REST API and Hands on Azure Databricks and ADF Experience with Markit EDM or Semarchy

About The Role Process Manager - AWS Data Engineer Mumbai/Pune| Full-time (FT) | Technology Services Shift Timings - EMEA(1pm-9pm)|Management Level - PM| Travel Requirements - NA The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Roles and responsibilities: Understand clients requirement and provide effective and efficient solution in AWS using Snowflake. Assembling large, complex sets of data that meet non-functional and functional business requirements Using Snowflake / Redshift Architect and design to create data pipeline and consolidate data on data lake and Data warehouse. Demonstrated strength and experience in data modeling, ETL development and data warehousing concepts Understanding data pipelines and modern ways of automating data pipeline using cloud based Testing and clearly document implementations, so others can easily understand the requirements, implementation, and test conditions Perform data quality testing and assurance as a part of designing, building and implementing scalable data solutions in SQL Technical and Functional Skills: AWS ServicesStrong experience with AWS data services such as S3, EC2, Redshift, Glue, Athena, EMR, etc. Programming LanguagesProficiency in programming languages commonly used in data engineering such as Python, SQL, Scala, or Java. Data WarehousingExperience in designing, implementing, and optimizing data warehouse solutions on Snowflake/ Amazon Redshift. ETL ToolsFamiliarity with ETL tools and frameworks (e.g., Apache Airflow, AWS Glue) for building and managing data pipelines. Database ManagementKnowledge of database management systems (e.g., PostgreSQL, MySQL, Amazon Redshift) and data lake concepts. Big Data TechnologiesUnderstanding of big data technologies such as Hadoop, Spark, Kafka, etc., and their integration with AWS. Version ControlProficiency in version control tools like Git for managing code and infrastructure as code (e.g., CloudFormation, Terraform). Problem-solving Skills: Ability to analyze complex technical problems and propose effective solutions. Communication Skills: Strong verbal and written communication skills for documenting processes and collaborating with team members and stakeholders. Education and ExperienceTypically, a bachelors degree in Computer Science, Engineering, or a related field is required, along with 5+ years of experience in data engineering and AWS cloud environments. About eClerx eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. About eClerx Technology eClerxs Technology Group collaboratively delivers Analytics, RPA, AI, and Machine Learning digital technologies that enable our consultants to help businesses thrive in a connected world. Our consultants and specialists partner with our global clients and colleagues to build and implement digital solutions through a broad spectrum of activities. To know more about us, visit https://eclerx.com eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law

Support enhancements to the MDM platform Develop pipelines using snowflake python SQL and airflow Track System Performance Troubleshoot issues Resolve production issues Required Candidate profile 5+ years of hands on expert level Snowflake, Python, orchestration tools like Airflow Good understanding of investment domain Experience with dbt, Cloud experience (AWS, Azure) DevOps

Job Title : Data Analyst- (SQL & ETL Process) Experience : 1 to 3 Years Location : Pune Industry : Investment Banking / Capital Markets Employment Type : Full Time Role & responsibilities -Collaborate with business and technical teams to gather and analyze requirements for models and data jobs. -Develop detailed technical specifications and data mappings for data models and system interfaces. -Design and develop efficient SQL queries; expertise in Complex SQL , PL/SQL , or T-SQL is essential. -Optimize and tune SQL for high performance and large datasets. -Build and maintain dashboards and reports using Power BI and/or Qlik . -Work with modern cloud databases like Snowflake and handle semi-structured data formats including JSON and XML . -Support and implement API-based data exchange; familiarity with XML , XSD , and REST APIs is a plus. -Develop conceptual, logical, and physical data models; strong understanding of ER modeling , dimensional modeling , and granularity . Collaborate in cloud-based environments, primarily using Azure and Snowflake . Key Skills: SQL, PL/SQL, T-SQL SQL Performance Tuning Power BI, Qlik Data Modeling (ER, Dimensional) JSON, XML, XSD API Integration (preferred) Azure, Snowflake (Cloud Platforms) Preferred Qualifications: Bachelors degree in Computer Science, Engineering, or a related field. Experience working in investment banking or capital markets domains is highly preferred . Excellent problem-solving skills and ability to work independently in a fast-paced environment.

Project Role : Data Management Practitioner Project Role Description : Maintain the quality and compliance of an organizations data assets. Design and implement data strategies, ensuring data integrity and enforcing governance policies. Establish protocols to handle data, safeguard sensitive information, and optimize data usage within the organization. Design and advise on data quality rules and set up effective data compliance policies. Must have skills : Teradata Vantage Good to have skills : Data Architecture Principles, Teradata BI, Amazon Web Services (AWS) Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Management Practitioner, you will be responsible for maintaining the quality and compliance of an organization's data assets. You will design and implement data strategies, ensure data integrity, enforce governance policies, and optimize data usage within the organization. Roles & Responsibilities: Expected to be a SME with deep knowledge and experience. Should have Influencing and Advisory skills. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Design and implement data quality rules. Advise on data compliance policies. Develop protocols to handle and safeguard sensitive data. Professional & Technical Skills: Must To Have Skills: Proficiency in Teradata Vantage. Good To Have Skills: Experience with Data Architecture Principles, Amazon Web Services (AWS), Teradata BI. Strong understanding of data management principles. Experience in implementing data governance policies. Knowledge of data integrity and compliance standards. Additional Information: The candidate should have a minimum of 15 years of experience in Teradata Vantage. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualification 15 years full time education