343 Etl Development Jobs - Page 9

Urgent Requirement for Datastage Developer. Experience:7+ Years Location: Pan India. Role Overview - Design and development of ETL and BI applications in DataStage - Design/develop testing processes to ensure end to end performance, data integrity and usability. - Carry out performance testing, integration and system testing - Good SQL Knowledge is mandatory - Basic Unix knowledge is required .

Job Details: Skill: Sr Developer - ODI Experience: 6-9 Years Location: - PAN INDIA Notice Period: Immediate Joiners Employee type : C2H Job Description: Sr. Developer - ODI Candidate should have technical knowledge with experience in the Oracle Data Integrator and Oracle Middleware technologies. Should have good expertise on Oracle Data Integrator (ODI) and Data warehousing with relevant experience 6 to 9 years Experience in Designing, implementing, and maintaining ODI load plan and process Experience in ETL development, PL/SQL & support To co-ordinate with Team Lead to ensure implementation as per stated requirements Good to have knowledge in Oracle MFT, Oracle Database, Oracle SOA Suite, BPEL, XML, WSDL/XSD, Adapters. Support and manage already developed ODI applications, perform testing on DEV/UAT/SIT/PROD environments, work on tickets assigned to you. Ready to work on shifts, support on-call depending on project and production releases. Should be able to work as an independent team member, capable of applying judgment to plan and execute your tasks. Timely completion of quality deliverables, good communication skills, professional conduct, ability to talk/handle business and cross functional teams To ensure correctness and completeness of Data loading (Full load & Incremental load) Optimizing execution time of interfaces by implementing best practices.

Use Talend Open Studio to design, implement, and manage data integration solutions. Develop ETL processes to ensure data is accurately extracted, transformed, and loaded into various systems for analysis.

Key responsibilities: An expert in solution design with the ability to see the big picture across the portfolio; providing guidance and governance for the analysis, solution design, development and implementation of projects A strategic thinker who will be responsible for the technical strategy within the portfolio; ensuring it aligns with the overall architecture roadmap and business strategy. An effective communicator who will utilize their technical/business knowledge to lead technical discussions with project teams, business sponsors, and external technical partners in a manner that ensures understanding of risks, options, and overall solutions. An individual with the ability to effectively consult/support technical discussions with Account Delivery and Business Sponsors ensuring alignment to both technology and business visions. Collaborate with Designers, Business System Analysts, Application Analysts and Testing specialists to deliver high quality solutions Able to prepare high-level and detailed-level designs based on technical/business requirements and defined architectures and maintain documentation Have been instrumental in platform migration work and technical migration work in the past and understands the involved intricacies. Analyze, define and document requirements for data, workflow, logical processes, interface design, internal and external checks, controls, and outputs Ensure information security standards and requirements are incorporated into all solutions Stay current with trends in emerging technologies and how they could apply to Sun Life. Key experience: A Bachelors or master’s degree in Computer Science or related field 8 -11 years of progressive information technology experience with full application development life cycle. Domain knowledge of Insurance and Retail Wealth Management. Experience in Informatica Powercenter / IDMC Development. Experience of applying various informatica transformations and different type of sources. Ability to write complex T-SQL and stored procedures, views. Experience in SQL Server 2014 and above. Exposure to DevOps and API architecture Should have experience leading small teams (5-8 developers). Good knowledge and experience of Java1.8 or above. Experience in PostGRE SQL and No-SQL DB like MongoDB etc. Good knowledge of coding best practices and should be able to do code review of peer. Produce clean, efficient code based on specifications and troubleshoot, debug and upgrade existing software.

Develops ETL solutions using Informatica PowerCentre.

Develop and manage data integration workflows using IBM InfoSphere DataStage. You will design, implement, and optimize ETL processes to ensure efficient data processing. Expertise in DataStage, ETL tools, and database management is required for this role.

Design and implement data integration and management solutions using Informatica Big Data Management (BDM). Ensure efficient handling of large data sets, optimizing performance and ensuring seamless data flow across systems.

Develop and manage ETL processes using Informatica, ensuring smooth data extraction, transformation, and loading across multiple systems. Optimize data workflows to ensure high-quality data management.

Design and optimize ETL workflows using Talend. Ensure data integrity and process automation.

Design and develop ETL processes using IBM DataStage. Focus on data integration, transformation, and loading, ensuring efficient data pipelines.

Designs and develops ETL pipelines using IBM InfoSphere DataStage. Handles data integration and transformation tasks.

Design and implement data integration solutions using IBM InfoSphere DataStage. Develop ETL jobs, write PL/SQL scripts, and use Unix Shell Scripting for text processing to manage large datasets efficiently.

Responsibilities Design, Develop, and Maintain ETL Pipelines: Create, optimize, and manage Extract, Transform, Load (ETL) processes using Python scripts and Pentaho Data Integration (Kettle) to move and transform data from various sources into target systems (e.g., data warehouses, data lakes). Data Quality Assurance: Implement rigorous data validation, cleansing, and reconciliation procedures to ensure the accuracy, completeness, and consistency of data. Data Sourcing and Integration: Work with diverse data sources, including relational databases (SQL Server, MySQL, PostgreSQL), flat files (CSV, Excel), APIs, and cloud platforms. Performance Optimization: Identify and implement improvements for existing ETL processes to enhance data load times, efficiency, and scalability. Troubleshooting and Support: Diagnose and resolve data-related issues, ensuring data integrity and timely availability for reporting and analysis. Documentation: Create and maintain comprehensive documentation for all ETL processes, data flows, and data dictionaries. Collaboration: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and deliver robust data solutions. Ad-hoc Analysis: Perform ad-hoc data analysis and provide insights to support business decisions as needed. About the Role: We are looking for a skilled and passionateData Engineerwith 3 to 4 years of experience in building robust ETL pipelines using both visual ETL tools (preferably Kettle/Pentaho) and Python-based frameworks. You will be responsible for designing, developing, and maintaining high-quality data workflows that support our data platforms and reporting environments. Key Responsibilities: Design, develop, and maintain ETL pipelines using Kettle (Pentaho) or similar tools. Build data ingestion workflows using Python (Pandas, SQLAlchemy, psycopg2). Extract data from relational and non-relational sources (APIs, CSV, databases). Perform complex transformations and ensure high data quality. Load processed data into target systems such as PostgreSQL, Snowflake, or Redshift. Implement monitoring, error handling, and logging for all ETL jobs. Maintain job orchestration via shell scripts, cron, or workflow tools (e.g., Airflow). Work with stakeholders to understand data needs and deliver accurate, timely data. Maintain documentation for pipelines, data dictionaries, and metadata. Requirements: 3 to 4 years of experience in Data Engineering or ETL development. Hands-on experience withKettle (Pentaho Data Integration) or similar ETL tools. Strong proficiency in Python (including pandas, requests, datetime, etc.). Strong SQL knowledge and experience with relational databases (PostgreSQL, SQL Server, etc.). Experience with source control (Git), scripting (Shell/Bash), and config-driven ETL pipelines. Good understanding of data warehousing concepts, performance optimization, and incremental loads. Familiarity with REST APIs, JSON, XML, and flat file processing. Good to Have: Experience with job scheduling tools (e.g., Airflow, Jenkins). Familiarity with cloud platforms (AWS, Azure, or GCP). Knowledge of Data Lakes, Big Data, or real-time streaming tools is a plus. Experience working in Agile/Scrum environments. Soft Skills: Strong analytical and problem-solving skills. Self-motivated and able to work independently and in a team. Good communication skills with technical and non-technical stakeholders. Industry Software Development Employment Type Full-time

#Employment Type: Contract 1. 5+ Years in ETL Domain Development (in which 3 plus years in Talend) 2. Strong in SQL Queries Writing (Mandate) 3. Hands on Trouble Shooting SQL Queries (Mandate) 4. Hands-on Talend Deployments Development (Mandate) 5. Strong in DWH Concepts (Mandate)

Urgent Requirement for Ab Initio Developer. Experience : 4+ Years Location : Pan India. Ab Initio GDE hands-on ( worked on Graphs , plans and psets ) Experience on Ab Initio Development and Code promotion Experience on Unix shell scripting and unix commands . 4+ years of relevant experience .

Project description We are looking for the star Python Developer who is not afraid of work and challenges! Gladly becoming a partner with famous financial institution, we are gathering a team of professionals with wide range of skills to successfully deliver business value to the client. Responsibilities Analyse existing SAS DI pipelines and SQL-based transformations. Translate and optimize SAS SQL logic into Python code using frameworks such as Pyspark. Develop and maintain scalable ETL pipelines using Python on AWS EMR. Implement data transformation, cleansing, and aggregation logic to support business requirements. Design modular and reusable code for distributed data processing tasks on EMR clusters. Integrate EMR jobs with upstream and downstream systems, including AWS S3, Snowflake, and Tableau. Develop Tableau reports for business reporting. Skills Must have 6+ years of experience in ETL development, with at least 5 years working with AWS EMR. Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Proficiency in Python for data processing and scripting. Proficient in SQL and experience with one or more ETL tools (e.g., SAS DI, Informatica)/. Hands-on experience with AWS servicesEMR, S3, IAM, VPC, and Glue. Familiarity with data storage systems such as Snowflake or RDS. Excellent communication skills and ability to work collaboratively in a team environment. Strong problem-solving skills and ability to work independently. Nice to have N/A Other Languages EnglishB2 Upper Intermediate Seniority Senior

Role Overview- Design and development of ETL and BI applications in DataStage- Design/develop testing processes to ensure end to end performance, data integrity and usability.- Carry out performance testing, integration and system testing- Good SQL Knowledge is mandatory - Basic Unix knowledge is required- Should be able to communicate with client and work on technical requirement POSITION GENERAL DUTIES AND TASKS : At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our companys growth, market presence and our ability to help our clients stay a step ahead of the competition. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here. NTT DATA, Inc. currently seeks a DataStage - Developer to join our team in Bangalore. (Currently Remote) Role Overview - Design and development of ETL and BI applications in DataStage - Design/develop testing processes to ensure end to end performance, data integrity and usability. - Carry out performance testing, integration and system testing - Good SQL Knowledge is mandatory - Basic Unix knowledge is required - Should be able to communicate with client and work on technical requirement.

Minimum 3 to 5 years of Talend Developer experience. Work on the User stories and develop the Talend jobs development following the best practices. Create detailed technical design documents of talend jobs development work. Work with the SIT team and involve for defect fixing for Talend components. Note: Maximo IBM tool knowledge would have an advantage for Coned otherwise it is Ok.

In this role, you will: Consult with business line and enterprise functions on less complex research Use functional knowledge to assist in non-model quantitative tools that support strategic decision making Perform analysis of findings and trends using statistical analysis and document process Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff Understand compliance and risk management requirements for supported area Ensure adherence to data management or data governance regulations and policies Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals Collaborate and consult with more experienced consultants and with partners in technology and other business groups Required Qualifications: 2+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 2+ years of experience in data, reporting, analytics or a combination of two; or a MS/MA degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis 2+ years of hands-on experience in SQL especially in Oracle, SQL Server & Teradata environment 2+ years of experience in Python, Tableau or BI Reporting tool- creating solutions with aid of data visualization. This includes but not limited to developing and creating BI dashboards, working on end to end reports, deriving insights from data Hands on experience in ETL development using Alteryx, or SSIS or any ETL tools Excellent verbal, written, and interpersonal communication skill Working experience in NLP : Topic modeling, Sentiment analysis Good data interpretation and presentation skills Willingness/ability to take ownership of a project Exceptionally fast learner, able to reach non-trivial SME level under tight deadlines High energy, can-do attitude, self-directed, pro-active, self-starter who excels in an environment with limited supervision Lead in managing multiple complex exercises in various stages simultaneously Lead in managing internal customer expectations while adhering to internal SLA timeframes Extensive knowledge and understanding of research and analysis Strong analytical skills with high attention to detail and accuracy Collaborative, team-focused attitude 2+ years of experience in Customer/ Marketing / Sales Analytics Job Expectations: Providing business and technical leadership to develop reporting analytics team delivering for Customer & Employee Experience team Responsible for maintaining partner relationships, ensuring high quality team deliverables and SLAs Working closely with the US partners on daily basis, interacting closely with multiple business partners anchor program managers Work independently, foster a culture of healthy and efficient working for the team Designing and solving complex business problems by analytical techniques and tools Will be involved directly in the technical build-out and/or support of databases, query tools, reporting tools, BI tools, dashboards, etc. that enable analysis, modeling, and/or advanced data visualization including development of Business Objects reports using multiple databases Recommends potential data sources; compiles and mines data from multiple, cross business sources. Works with typically very large data sets, both structured and unstructured, and from multiple sources Develops specific, customized reports, ad hoc analyses and/or data visualizations, formatted with business user-friendly techniques to drive adoption, such as (1) PowerPoint slides and presentations, and (2) clear verbal and e-mail communications Works with senior consultants or directly with partners, responsible for identifying and defining business requirements and translating business needs into moderately complex analyses and recommendations. Works with local and international colleagues and with internal customers, responsible for identifying and defining business requirements and catering to business needs for the team Ensures adherence to data management/data governance regulations and policies

We are seeking a skilled SAS Developer Team Lead with strong expertise in SAS Data Integration (DI), SAS Visual Analytics (VA), and SAS Management Console (SMC). The ideal candidate will have hands-on experience in ETL development, data visualization, and metadata management, along with a proven track record of leading technical teams. Experience in delivering projects within the BFSI and Government sectors is essential. Key Responsibilities: Lead and mentor a team of SAS developers to achieve project goals. Design, develop, and optimize ETL workflows using SAS DI Studio. Create and manage interactive dashboards and reports using SAS Visual Analytics (VA). Oversee user roles, libraries, and metadata through SAS Management Console (SMC). Coordinate with clients and internal stakeholders to gather requirements and ensure timely project execution. Conduct code reviews to maintain coding standards and promote best practices. Monitor performance, troubleshoot issues, and ensure data quality and system stability. Qualifications: 3 to 5 years of hands-on experience in SAS DI, VA, and SMC. Strong understanding of data warehousing concepts and ETL design. Experience in BFSI and/or Government projects is a must. Prior experience in leading and mentoring a team. Excellent communication and client-handling skills. Preferred: SAS certifications are an added advantage.

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

About our team DEX is a central data org for Kotak Bank which manages entire data experience of Kotak Bank. DEX stands for Kotaks Data Exchange. This org comprises of Data Platform, Data Engineering and Data Governance charter. The org sits closely with Analytics org. DEX is primarily working on greenfield project to revamp entire data platform which is on premise solutions to scalable AWS cloud-based platform. The team is being built ground up which provides great opportunities to technology fellows to build things from scratch and build one of the best-in-class data lake house solutions. The primary skills this team should encompass are Software development skills preferably Python for platform building on AWS; Data engineering Spark (pyspark, sparksql, scala) for ETL development, Advanced SQL and Data modelling for Analytics. As a member of this team, you get opportunity to learn fintech space which is most sought-after domain in current world, be a early member in digital transformation journey of Kotak, learn and leverage technology to build complex data data platform solutions including, real time, micro batch, batch and analytics solutions in a programmatic way and also be futuristic to build systems which can be operated by machines using AI technologies. The data platform org is divided into 3 key verticals Data Platform This Vertical is responsible for building data platform which includes optimized storage for entire bank and building centralized data lake, managed compute and orchestrations framework including concepts of serverless data solutions, managing central data warehouse for extremely high concurrency use cases, building connectors for different sources, building customer feature repository, build cost optimization solutions like EMR optimizers, perform automations and build observability capabilities for Kotaks data platform. The team will also be center for Data Engineering excellence driving trainings and knowledge sharing sessions with large data consumer base within Kotak. Data Engineering This team will own data pipelines for thousands of datasets, be skilled to source data from 100+ source systems and enable data consumptions for 30+ data analytics products. The team will learn and built data models in a config based and programmatic and think big to build one of the most leveraged data model for financial orgs. This team will also enable centralized reporting for Kotak Bank which cuts across multiple products and dimensions. Additionally, the data build by this team will be consumed by 20K + branch consumers, RMs, Branch Managers and all analytics usecases. Data Governance The team will be central data governance team for Kotak bank managing Metadata platforms, Data Privacy, Data Security, Data Stewardship and Data Quality platform. If youve right data skills and are ready for building data lake solutions from scratch for high concurrency systems involving multiple systems then this is the team for you. You day to day role will include Drive business decisions with technical input and lead the team. Design, implement, and support an data infrastructure from scratch. Manage AWS resources, including EC2, EMR, S3, Glue, Redshift, and MWAA. Extract, transform, and load data from various sources using SQL and AWS big data technologies. Explore and learn the latest AWS technologies to enhance capabilities and efficiency. Collaborate with data scientists and BI engineers to adopt best practices in reporting and analysis. Improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. Build data platforms, data pipelines, or data management and governance tools. BASIC QUALIFICATIONS for Data Engineer Bachelor's degree in Computer Science, Engineering, or a related field 3-5 years of experience in data engineering Strong understanding of AWS technologies, including S3, Redshift, Glue, and EMR Experience with data pipeline tools such as Airflow and Spark Experience with data modeling and data quality best practices Excellent problem-solving and analytical skills Strong communication and teamwork skills Experience in at least one modern scripting or programming language, such as Python, Java, or Scala Strong advanced SQL skills PREFERRED QUALIFICATIONS AWS cloud technologies: Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, IAM, Airflow Prior experience in Indian Banking segment and/or Fintech is desired. Experience with Non-relational databases and data stores Building and operating highly available, distributed data processing systems for large datasets Professional software engineering and best practices for the full software development life cycle Designing, developing, and implementing different types of data warehousing layers Leading the design, implementation, and successful delivery of large-scale, critical, or complex data solutions Building scalable data infrastructure and understanding distributed systems concepts SQL, ETL, and data modelling Ensuring the accuracy and availability of data to customers Proficient in at least one scripting or programming language for handling large volume data processing Strong presentation and communications skills. For Managers, Customer centricity, obsession for customer Ability to manage stakeholders (product owners, business stakeholders, cross function teams) to coach agile ways of working. Ability to structure, organize teams, and streamline communication. Prior work experience to execute large scale Data Engineering projects

We are looking for a highly skilled Senior ETL Consultant with strong expertise in Informatica Intelligent Data Management Cloud (IDMC) components such as IICS, CDI, CDQ, IDQ, CAI, along with proven experience in Databricks.

Role: Lead SQL Server Developer Location Bangalore (Ashok Nagar) Experience : 8 - 10 years of prior experience which includes 3+ years of Team Lead experience required. Education : Bachelor's/Masters Degree in Technology. Salary : Negotiable Job Type : Full Time (On Role) Mode of Work : Work from Office Job Description What you will be doing: Working on Microsoft SQL Server 2012 and above server-side development. Designing the schema that can be usable across multiple customers. Design and developing T-SQL (Transact SQL) Stored Procedures, Functions and Triggers and SSIS packages. Develop underlying data models and databases. Develop, manage and maintain data dictionary and or metadata. Doing performance tuning & query optimization. Ensuring compliance of standards and conventions in developing programs. Analyse and resolve complex issues without oversight from other people. Perform quality checks on reports and exports to ensure exceptional quality. Works in Scrum environment. Preferred Skills: Knowledge of tools like Qlik /Qlik sense and/or any other data visual tools. Understanding of .NET code/jQuery experience is a plus. Knowledge in Microsoft Reporting tool (SSRS). Experience in Database Administration activities. Interested candidates kindly share your CV and below details to usha.sundar@adecco.com 1) Present CTC (Fixed + VP) - 2) Expected CTC - 3) No. of years experience - 4) Notice Period - 5) Offer-in hand - 6) Reason of Change - 7) Present Location -

Key Responsibilities: ETL Development and Maintenance Design, develop, and implement ETL processes using SSIS to support data integration and warehousing requirements. Maintain and enhance existing ETL workflows to ensure data accuracy and integrity. Collaborate with data analysts, data architects, and other stakeholders to understand data requirements and translate them into technical specifications. Extract, transform, and load data from various source systems into the data warehouse. Perform data profiling, validation, and cleansing to ensure high data quality. Monitor ETL processes to ensure timely and accurate data loads. Write and optimize complex SQL queries to extract and manipulate data. Work with SQL Server to manage database objects, indexes, and performance tuning. Ensure data security and compliance with industry standards and regulations. Business Intelligence and Reporting: Develop and maintain interactive dashboards and reports using Power BI or SSRS. Collaborate with business users to gather requirements and create visualizations that provide actionable insights. Integrate Power BI with other data sources and platforms for comprehensive reporting. Scripting and Automation: Utilize Python for data manipulation, automation, and integration tasks. Develop scripts to automate repetitive tasks and improve efficiency. Insurance Domain Expertise: Leverage knowledge of insurance industry processes and terminology to effectively manage and interpret insurance data. Work closely with business users and stakeholders within the insurance domain to understand their data needs and provide solutions. Qualifications Required Skills and Qualifications: Technical Skills: Proficient in SQL and experience with SQL Server. Strong experience with SSIS for ETL development and data integration. Proficiency in Python for data manipulation and scripting. Experience with Power BI/SSRS for developing interactive dashboards and reports. Knowledge of data warehousing concepts and best practices. Domain KnowledgeSolid understanding of insurance industry processes, terminology, and data structures. Experience working with insurance-related data, such as policies, claims, underwriting, and actuarial data. Additional Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Job Location