data analyst etl developer

Barclays

<div>Join us as an ETL Data Engineer at Barclays where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions.
To be successful as an ETL Data Engineer , you should have experience with:<ul><li>Ab Initio</li><li>Unix Shell Scripting</li><li>Oracle</li><li>PySpark</li></ul>
Some other highly valued skills may include:<ul><li>Python</li><li>Teradata</li><li>Java</li><li>Machine Learning</li></ul>
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
The role is based out of Pune.

Purpose of the role
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Accountabilities<ul><li>
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.</li><li>
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.</li><li>
Development of processing and analysis algorithms fit for the intended data complexity and volumes.</li><li>
Collaboration with data scientist to build and deploy machine learning models.</li></ul>
Analyst Expectations<ul><li>
To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.</li><li>
Requires in-depth technical knowledge and experience in their assigned area of expertise</li><li>
Thorough understanding of the underlying principles and concepts within the area of expertise</li><li>
They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.</li><li>
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L &ndash; Listen and be authentic, E &ndash; Energise and inspire, A &ndash; Align across the enterprise, D &ndash; Develop others.</li><li>
OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.</li><li>
Will have an impact on the work of related teams within the area.</li><li>
Partner with other functions and business areas.</li><li>
Takes responsibility for end results of a team&rsquo;s operational processing and activities.</li><li>
Escalate breaches of policies / procedure appropriately.</li><li>
Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.</li><li>
Advise and influence decision making within own area of expertise.</li><li>
Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.</li><li>
Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.</li><li>
Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.</li><li>
Make evaluative judgements based on the analysis of factual information, paying attention to detail.</li><li>
Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.</li><li>
Guide and persuade team members and communicate complex / sensitive information.</li><li>
Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.</li></ul>
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship &ndash; our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset &ndash; to Empower, Challenge and Drive &ndash; the operating manual for how we behave.</div>

Data Engineer - ETL

Suprha Svc LLC

We are looking for a skilled Data Engineer / Analytics Engineer to design, build, and maintain scalable data pipelines and reporting solutions. The ideal candidate will have hands-on experience with modern ETL frameworks, databases, and reporting tools, along with a solid understanding of cloud-based architectures on AWS.You will work closely with cross-functional teams to ensure data reliability, availability, and accessibility to support business insights and analytics.Key ResponsibilitiesDesign, develop, and maintain data ingestion and transformation pipelines using ETL tools such as Apache NiFi, AWS Glue, or equivalent.Build and optimize data storage solutions leveraging SQL and NoSQL databases.Develop automated data workflows integrating multiple data sources and ensuring data quality and consistency.Implement monitoring, alerting, and reporting dashboards using Grafana, Tableau, or Amazon QuickSight.Collaborate with data analysts, product teams, and engineers to deliver reliable and timely datasets for analytics and reporting.Manage source control, CI/CD, and infrastructure deployment using Git, Jenkins, and AWS services (Lambda, S3, ECS, etc.).Ensure data security, compliance, and best practices across all environments.QualificationsBachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or a related field.3+ years of experience in data engineering, analytics, or related domains.Strong programming skills in Python or Go.Hands-on experience with ETL tools (NiFi, Glue, or similar).Proficiency in SQL and NoSQL databases.Experience building dashboards or visualizations using Grafana, Tableau, or QuickSight.Familiarity with AWS ecosystem, Git, and Jenkins for CI/CD.Strong problem-solving, analytical, and communication skills.Preferred SkillsExperience with data modeling and schema design.Knowledge of data governance and metadata management.Exposure to containerized environments (Docker, ECS, or Kubernetes).Understanding of real-time data streaming (Kafka, Kinesis) is a plus.Job Types: Full-time, PermanentPay: &#8377;700,000.00 - &#8377;1,200,000.00 per yearWork Location: In person

Data Engineer / Analytics Engineer (AWS | Python/Go | ETL | Reporting) Overview

Quadrabay Verification Services

Position SummaryWe are seeking a skilled Data Engineer with strong expertise in building and managing ETL/ELT pipelines using PySpark within an AWS cloud environment. The ideal candidate will be responsible for designing, implementing, and maintaining scalable data workflows to support multiple data sources, while ensuring seamless integration with Power BI for reconciliation, reporting, and advanced analytics.Key Responsibilities&middot; Data Pipeline Developmento Design, develop, and maintain scalable ETL/ELT pipelines using PySpark.o Implement data ingestion from multiple data sources (Finance, CRM, Payment Gateways, etc.) into AWS Data Lake/Warehouse.o Ensure efficient data partitioning, schema management, and optimization for large datasets.&middot; Cloud &amp; Infrastructure (AWS)o Leverage AWS services (S3, Glue, EMR, Redshift, Lambda, Step Functions) for data engineering workflows.o Implement data security, access control, and compliance in line with organizational standards.o Automate deployments using CI/CD pipelines.&middot; Data Integration &amp; Reportingo Prepare curated datasets for Power BI dashboards and reports.o Enable reconciliation processes by providing granular, auditable datasets.o Collaborate with BI developers to ensure data accuracy, integrity, and performance in reporting.&middot; Collaboration &amp; Processo Work closely with Business Analysts, Data Scientists, and ERP functional teams to understand requirements.o Participate in data governance initiatives, ensuring metadata, lineage, and quality controls are implemented.o Provide support for ad-hoc analytics requests from stakeholders.Required Skills &amp; Qualifications&middot; Technical Skillso Strong programming in Python with deep knowledge of PySpark.o Proven experience in ETL/ELT pipeline development in distributed environments.o Expertise in AWS data services (S3, Glue, EMR, Redshift, Athena, Lambda, Kinesis).o Proficiency in SQL (analytical queries, optimization, tuning).o Familiarity with Power BI integration (Direct Query, Dataflows, Gateways).&middot; Data Engineering Practiceso Experience with data lakes, warehouses, and star/snowflake schema design.o Knowledge of data quality frameworks, reconciliation processes, and auditability controls.o Hands-on experience with workflow orchestration tools.&middot; Soft Skillso Strong problem-solving and analytical skills.o Ability to collaborate across IT, business, and analytics teams.o Clear communication for technical and non-technical stakeholders.Preferred Qualifications&middot; Experience with ERP data models (Finance, CRM - Reconciliation).&middot; Exposure to machine learning data preparation (feature engineering, training/test datasets).&middot; Certification(s):o AWS Certified Data Analytics &ndash; Specialtyo Databricks/Spark Developer Certificationo Microsoft Power BI Data Analyst AssociateJob Type: Full-timeAbility to commute/relocate:<ul><li>Ajman: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>Availability to start immediately </li><li>Visa Status</li></ul>Experience:<ul><li>Data Engineer: 3 years (Preferred)</li></ul>Language:<ul><li>English (Preferred)</li></ul>

Data Engineer

Simpaisa

<div>
 Job Title: Senior Database Developer (Data Warehousing &amp; Cloud Technologies)
 
 
 Job Summary:
 
 
 We are seeking an experienced Database Developer with 3-4 years of experience in data warehousing, cloud-based solutions, and modern data architecture. The ideal candidate will have hands-on expertise in Snowflake, Delta Lakes, and Data Lakes, along with strong SQL and ETL development skills. This role involves designing, optimizing, and maintaining data warehouses while ensuring scalability and performance.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and optimize transactional databases and data warehouses.
 </li>
 <li>
 Implement modern data warehousing techniques using Snowflake, Delta Lakes, and cloud-based data solutions.
 </li>
 <li>
 Develop and optimize ETL workflows for seamless data integration.
 </li>
 <li>
 Work with big data and structured/unstructured data sources to enhance data architecture.
 </li>
 <li>
 Ensure data accuracy, consistency, and quality across systems.
 </li>
 <li>
 Monitor and improve database and query performance.
 </li>
 <li>
 Implement security measures and ensure compliance with data protection regulations.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate data solutions with applications.
 </li>
 <li>
 Create and maintain technical documentation for database architectures, ETL pipelines, and best practices.
 </li>
 <li>
 Stay updated with emerging data warehousing, cloud, and analytics technologies.
 
 
 
 </li>
 </ul>
 Qualifications:
 
 
 <ul>
 <li>
 3-4 years of experience in database development and data warehousing.
 </li>
 <li>
 Strong expertise in Snowflake, Delta Lakes, Data Lakes, and cloud-based data solutions.
 </li>
 <li>
 Proficiency in SQL, PLSQL, T-SQL, and ETL frameworks.
 </li>
 <li>
 Experience with Python or scripting languages for data transformations.
 </li>
 <li>
 Familiarity with data governance, security, and compliance best practices.
 </li>
 <li>
 Ability to work independently, troubleshoot complex issues, and optimize data processes.
 </li>
 <li>
 Strong problem-solving, analytical, and communication skills.
 
 
 
 </li>
 </ul>
 Experience with BI tools (Power BI, Tableau, etc.) is a plus.
</div>

Senior Database Administrator

PublishEX Solutions Pvt. Ltd.

Job Title: Senior Database Developer (Data Warehousing &amp; Cloud Technologies)Job Summary: We are seeking an experienced Database Developer with 3-4 years of experience in data warehousing, cloud-based solutions, and modern data architecture. The ideal candidate will have hands-on expertise in Snowflake, Delta Lakes, and Data Lakes, along with strong SQL and ETL development skills. This role involves designing, optimizing, and maintaining data warehouses while ensuring scalability and performance.Responsibilities:<ul><li>Design, develop, and optimize transactional databases and data warehouses.</li><li>Implement modern data warehousing techniques using Snowflake, Delta Lakes, and cloud-based data solutions.</li><li>Develop and optimize ETL workflows for seamless data integration.</li><li>Work with big data and structured/unstructured data sources to enhance data architecture.</li><li>Ensure data accuracy, consistency, and quality across systems.</li><li>Monitor and improve database and query performance.</li><li>Implement security measures and ensure compliance with data protection regulations.</li><li>Collaborate with cross-functional teams to integrate data solutions with applications.</li><li>Create and maintain technical documentation for database architectures, ETL pipelines, and best practices.</li><li>Stay updated with emerging data warehousing, cloud, and analytics technologies.</li></ul>Qualifications:<ul><li>3-4 years of experience in database development and data warehousing.</li><li>Strong expertise in Snowflake, Delta Lakes, Data Lakes, and cloud-based data solutions.</li><li>Proficiency in SQL, PLSQL, T-SQL, and ETL frameworks.</li><li>Experience with Python or scripting languages for data transformations.</li><li>Familiarity with data governance, security, and compliance best practices.</li><li>Ability to work independently, troubleshoot complex issues, and optimize data processes.</li><li>Strong problem-solving, analytical, and communication skills.</li><li>Experience with BI tools (Power BI, Tableau, etc.) is a plus.</li></ul>Job Type: Full-timeWork Location: In person

Glow Beauty On Demand

Job Title Data Analyst - Onboarding and Distribution Dubai UAE Job Description Data Analyst - Onboarding and Distribution Dubai UAE Role Summary TecAlliance is seeking a skilled Data Analyst to join our Dubai team, responsible for processing, integrating, and optimizing customer-specific data in alignment with TecDoc data standards. This role involves working with SQL, ETL tools, and advanced database techniques to ensure data quality and deliver tailored solutions for our automotive clients. If you have a strong analytical background and experience in data transformation, this position offers an opportunity to shape the future of the automotive aftermarket industry. Employment Overview Job Location: Dubai, UAE Industry: Information Technology and Services Function: Data Analysis Gender: Any Candidate Nationality: Any Job Type: Full-time What You ll Do * Manage customer-specific data processing workflows in compliance with TecDoc standards * Analyze client requirements and work closely with the sales team to design customized solutions * Implement data transformations using SQL, ETL tools, and TecDoc maintenance platforms * Develop custom reports, perform product analysis, and create data visualizations * Optimize existing processes for accuracy and efficiency * Provide 3rd-level technical support for data-related issues and inquiries * Collaborate with internal teams and clients to ensure seamless integration and high-quality deliverables Ideal Profile * 3-5 years of experience in data processing, database management, or software development * Proficient in SQL and ETL tools; ability to manage complex queries and workflows * Experience in technical consulting, product implementation, and data transformation * Knowledge of IAM (Independent Automotive Aftermarket) or TecDoc standards is an advantage * Strong analytical and problem-solving skills with high attention to detail * Excellent communication and cross-functional collaboration abilities * Business fluent in English; self-motivated and adaptable to emerging technologies

Data Analyst

Qode

Overview: A highly skilled Power BI Developer with 6 years of experience in creating visually engaging, data-driven executive dashboards with a focus on mobile and web compatibility. Specializing in designing executive-level dashboards for C-suite stakeholders, keeping brand design in mind, with an emphasis on real-time, actionable insights for CEOs and business leaders. Expertise in developing intuitive reports, enhancing data accuracy, and integrating complex systems like Microsoft Dynamics 365 and AWS. Strong communicator, capable of translating business requirements into effective data solutions, while managing teams and delegating tasks to ensure project success.
 Key Responsibilities:  Power BI Development: Design, develop, and maintain advanced Power BI reports and dashboards, ensuring they are user-friendly, visually appealing, and aligned with brand design for executive-level consumption, particularly for both web and mobile devices. Mobile and Web Compatibility: Focused on optimizing Power BI dashboards for both mobile and web use, ensuring seamless access to real-time data and insights for top-level executives, particularly CEOs, across platforms, on-the-go or in-office. Data Modelling & Visualization: Perform complex data modelling, designing efficient and scalable data models for accurate reporting. Create visually appealing dashboards using best practices in data visualization, supporting strategic decision- making for senior leadership. Stakeholder Collaboration: Engage with business stakeholders to understand their needs and translate them into clear technical specifications. Provide insights into business performance and strategic goals. Data Accuracy & Integrity: Responsible for ensuring the accuracy and integrity of the data through thorough data validation and cleansing processes. Monitor and improve data quality to maintain reliable reporting. ETL & Data Pipelines: Develop and maintain ETL processes for seamless data extraction, transformation, and loading (ETL) into Power BI. Ensure efficient and reliable data pipelines for decision-making. SQL Optimization: Write and optimize SQL queries for data extraction, transformation, and performance tuning to ensure the speed and reliability ofdashboards. System Integration: Integrate data from Microsoft Dynamics 365 and other CRM platforms to enrich business insights and enhance reporting capabilities. Team Leadership: Take ownership of projects, delivering tasks without supervision while effectively delegating work to team members and ensuring the timely completion of deliverables. Communication & Reporting: Maintain clear and effective communication with team members, business stakeholders, and senior executives to ensure alignment on objectives, deliverables, and timelines.
 Qualifications:  Bachelor’s degree in computer science, Information Technology, or a related field. 6+ years of experience in Power BI development, data analytics, and dashboard design, with a strong focus on mobile-first and web solutions for C-suite executives. Expertise in Power BI: Strong proficiency in Power BI, including data modelling, report/dashboard design, and advanced visualization techniques tailored for executive users. Mobile and Web Dashboard Design: Experienced in creating Power BI reports optimized for both mobile and web compatibility, ensuring ease of use for executive teams across devices (tablets, smartphones, desktops). Strong SQL Skills: Proficiency in writing and optimizing SQL queries for efficient data extraction, manipulation, and reporting. Microsoft Dynamics 365 & AWS: Extensive experience integrating data from Microsoft Dynamics 365 with Power BI, along with utilizing AWS services for cloud- based data storage and analysis. Data Engineering: Familiarity with ETL processes and data pipeline management to streamline data workflows for real-time reporting. Leadership & Delegation: Proven ability to lead teams, delegate tasks, and ensure the successful completion of high-priority projects on time. Effective Communication: Strong communication and interpersonal skills, with the ability to engage with business stakeholders and translate their needs into actionable data solutions. Certification like PL-300 (Microsoft Power BI Data Analyst) is a plus.
 Skills:  Power BI Development (Reports & Dashboards) with good designing Mobile & Web Optimization for Power BI Data Visualization & Business Intelligence SQL Query Optimization & Data Transformation AWS or equivalent cloud Services for Analysis ETL Process Development Project Management & Team Leadership Stakeholder Engagement & Requirement Gathering Data Quality Assurance & Validation Advanced Problem Solving

Senior Power BI Developer

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