etl developer

Lumovy Technology Solutions

<div>
 
 About Lumovy Technology Solutions, LLC
 
 
 
 At Lumovy Technology Solutions, we are experiencing rapid growth across the U.S.A., Canada, India, and Pakistan and are proud to be a Microsoft Gold Partner. We are committed to providing technology solutions that help organizations thrive in a fast-changing digital landscape. Our vision is to become a leader in digital transformation for our clients, leveraging the power of the Microsoft digital ecosystem to drive innovation and growth. Visit us at www.lumovy.com
 
 
 
 About The Role
 
 
 
 We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and data solutions on Azure. The role involves working with diverse data sources, enabling efficient data processing, and supporting analytics and reporting needs. The ideal candidate will have a strong foundation in data engineering concepts, hands-on experience with Azure data services, and the ability to work in a fast-paced, Agile environment.
 
 
 
 Essential Functions
 
 
 
 <ul>
 <li>
 Design, develop, and maintain robust ETL/ELT pipelines and data workflows
 </li>
 <li>
 Build and optimize scalable data pipelines for batch and real-time processing
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 <li>
 Integrate and manage data from multiple sources, including SQL, NoSQL, and cloud-based storage systems
 </li>
 <li>
 Work with Azure data services such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks
 </li>
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 Ensure data quality, integrity, and consistency across systems
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 Collaborate with cross-functional teams to understand data requirements and deliver efficient solutions
 </li>
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 Implement secure data access using Azure security features, including Managed Identity
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 Develop and maintain data models to support reporting and analytics
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 Troubleshoot and resolve data-related issues, ensuring high system performance and reliability
 </li>
 <li>
 Contribute to Agile/Scrum processes, including sprint planning and stand-ups
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Technology, Computer Engineering, or a related field
 </li>
 <li>
 2&ndash;4 years of experience as a Data Engineer or Data Developer
 </li>
 <li>
 Strong understanding of data engineering concepts, including ETL/ELT, data pipelines, and data warehousing
 </li>
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 Hands-on experience with Azure data services (Azure Data Factory, Azure Synapse Analytics, Azure Databricks)
 </li>
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 Proficiency in SQL and experience with relational and NoSQL databases
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 Programming experience in Python, Scala, or C#
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 Experience working with data sources such as Azure Cosmos DB, Data Lake, and Blob Storage
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 Familiarity with distributed data processing frameworks (e.g., Spark)
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 Understanding of Azure security concepts, including Managed Identity
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 Basic knowledge of data modeling and API-based data integration
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 Experience working in Agile/Scrum environments
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 Strong analytical, problem-solving, and communication skills
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Power BI for data visualization and reporting
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 Familiarity with real-time data processing tools such as Azure Stream Analytics
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 Experience with streaming platforms like Apache Kafka or Azure Event Hubs
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 Hands-on experience implementing Managed Identity across Azure services
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 Knowledge of DevOps practices, CI/CD pipelines, and Git workflows
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 Understanding of data governance, security, and compliance best practices
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 Experience working with Microsoft CRM/CE applications
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 Relevant Microsoft certifications (e.g., DP-900, DP-203)
 
 
 </li>
 </ul>
 We are an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
</div>

Data Engineer

H2o Labs

Location: Onsite Shift: Night Shift Job Type: Full-TimeJob Overview:We are looking for a skilled and detail-oriented Data Engineer with 2&ndash;4 years of hands-on experience to join our growing team. The ideal candidate will be responsible for building, optimizing, and maintaining scalable data pipelines and architectures to support data-driven decision-making across the organization.Key Responsibilities:<ul><li>Design, develop, and maintain scalable ETL/ELT pipelines</li><li>Build and manage data warehouses and data lakes</li><li>Ensure data quality, integrity, and reliability across systems</li><li>Optimize and automate data workflows for performance and scalability</li><li>Collaborate with data analysts, scientists, and business stakeholders</li><li>Work with large datasets and ensure efficient data processing</li><li>Monitor and troubleshoot data-related issues</li><li>Implement data security and governance best practices</li><li>Communicate effectively with cross-functional teams and stakeholders</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, IT, or related field</li><li>2&ndash;4 years of experience as a Data Engineer or similar role</li><li>Strong proficiency in SQL and database design</li><li>Hands-on experience with Python (or similar programming language)</li><li>Experience with ETL tools (e.g., Airflow, Talend, Informatica)</li><li>Familiarity with cloud platforms (AWS, GCP, or Azure)</li><li>Experience with big data tools (e.g., Hadoop, Spark)</li><li>Understanding of data warehousing concepts</li><li>Excellent communication and interpersonal skills</li><li>Strong problem-solving and analytical skills</li></ul>Preferred Qualifications:<ul><li>Experience with real-time data processing</li><li>Knowledge of Docker/Kubernetes</li><li>Familiarity with CI/CD pipelines</li><li>Experience working in agile environments</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs220,000.00 per monthWork Location: In person

AlphaBOLD

<div><h2 class="jobSectionHeader">JOB SUMMARY</h2>

Alphabold is looking for a skilled Data Engineer with 3&ndash;5 years of experience to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will have strong expertise in data processing, database systems, and cloud platforms, enabling efficient data flow and analytics across the organization.
<h3 class="jobSectionHeader">
Key Responsibilities</h3>
<ul><li>Design, develop, and maintain scalable ETL/ELT data pipelines</li>
<li>Build and optimize data architectures, data lakes, and data warehouses</li>
<li>Ensure data quality, integrity, and reliability across systems</li>
<li>Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions</li>
<li>Develop and manage batch and real-time data processing systems</li>
<li>Monitor and troubleshoot data pipeline performance and failures</li>
<li>Implement data governance, security, and compliance best practices</li>
<li>Automate workflows and improve data engineering processes</li>
</ul><h3 class="jobSectionHeader">Required Skills &amp; Qualifications</h3>
<ul><li>3&ndash;5 years of experience in data engineering or related roles</li>
<li>Strong proficiency in SQL and Python (or Scala/Java)</li>
<li>Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica)</li>
<li>Experience with big data technologies such as Apache Spark, Hadoop, or Kafka</li>
<li>Solid understanding of data warehousing concepts and modeling (Star/Snowflake schema)</li>
<li>Experience with cloud platforms like AWS, Azure, or Google Cloud</li>
<li>Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB)</li>
<li>Experience with version control systems (e.g., Git)</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications</h3>
<ul><li>Experience with containerization tools like Docker and orchestration tools like Kubernetes</li>
<li>Knowledge of CI/CD pipelines and DevOps practices</li>
<li>Familiarity with data visualization tools (e.g., Power BI, Tableau)</li>
<li>Understanding of streaming data systems and real-time analytics</li>
</ul><h3 class="jobSectionHeader">Soft Skills</h3>
<ul><li>Strong problem-solving and analytical skills</li>
<li>Good communication and collaboration abilities</li>
<li>Ability to work in a fast-paced, agile environment</li>
<li>Attention to detail and commitment to data accuracy</li>
</ul><h3 class="jobSectionHeader">Education</h3>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field</li>
</ul><h3 class="jobSectionHeader">Nice to Have</h3>
<ul><li>Certifications in cloud platforms (AWS, Azure, GCP)</li>
<li>Experience working with large-scale distributed systems</li></ul></div>

Dubizzle Labs

<div>
 You will be participating in exciting projects covering the end-to-end data lifecycle &ndash; from raw data integrations with primary and third-party systems, through advanced data modeling, to state-of-the-art data visualization and development of innovative data products.
 
 
 You will have the opportunity to learn how to build and work with both batch and real-time data processing pipelines. You will work in a modern cloud-based data warehousing environment alongside a team of diverse, intense, and interesting co-workers. You will liaise with other departments &ndash; such as product &amp; tech, the core business verticals, trust &amp; safety, finance, and others &ndash; to enable them to be successful.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
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 Design, implement and support data warehousing;
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 Raw data integrations with primary and third-party systems
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 Data warehouse modeling for operational &amp; application data layers
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 Development in Amazon Redshift cluster
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 SQL development as part of agile team workflow
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 ETL design and implementation in Matillion ETL
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 Real-time data pipelines and applications using serverless and managed AWS services such as Lambda, Kinesis, API Gateway, etc.
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 Design and implementation of data products enabling data-driven features or business solutions
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 Building data dashboards and advanced visualizations in Sisense for data cloud teams (formerly Periscope Data) with a focus on UX, simplicity, and usability
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 Working with other departments on data products &ndash; i.e. product &amp; technology, marketing &amp; growth, finance, core business, advertising, and others
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 Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
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 Evaluate and improve data quality by implementing test cases, alerts, and data quality safeguards
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 Living the team values: Simpler. Better. Faster.
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 Strong desire to learn
 
 
 
 </li>
 </ul>
 
 Required Minimum Experience (must)
 
 
 
 <ul>
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 1-3 years experience in data processing, analysis, and problem-solving with large amounts of data;
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 Good SQL skills across a variety of relational data warehousing technologies especially in cloud data warehousing (e.g. Amazon Redshift, Google BigQuery, Snowflake, Vertica, etc.)
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 1+ year of experience with one or more programming languages, especially Python
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 Ability to communicate insights and findings to a non-technical audience
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 Written and verbal proficiency in English
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 Entrepreneurial spirit and ability to think creatively; highly-driven and self-motivated; strong curiosity and strive for continuous learning
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 Top of class University technical degree such as computer science, engineering, math, physics.
 
 
 
 </li>
 </ul>
 
 Additional Experience (strong Plus)
 
 
 
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 Experience working with customer-centric data at big data-scale, preferably in an online / e-commerce context
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 Experience with modern big data ETL tools (e.g. Matillion)
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 Experience with AWS data ecosystem (or other cloud providers)
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 Track record in business intelligence solutions, building and scaling data warehouses, and data modeling
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 Tagging, Tracking, and reporting with Google Analytics 360
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 Knowledge of modern real-time data pipelines (e.g. serverless framework, lambda, kinesis, etc.)
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 Experience with modern data visualization platforms such as Periscope, Looker, Tableau, Google Data Studio, etc.
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 Linux, bash scripting, Javascript, HTML, XML
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 <li>
 Docker Containers and Kubernete
 
 
 
 </li>
 </ul>
</div>

ibex

<div>
 We are seeking a highly motivated and responsible
 
 Data Engineer
 
 to join our dynamic team. This role requires hands-on experience in building scalable data pipelines, managing structured and unstructured databases, and supporting end-to-end data operations. The ideal candidate will bring strong problem-solving skills, a collaborative mindset, and a commitment to data excellence.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and manage reliable and scalable data pipelines.
 </li>
 <li>
 Clean, validate, and transform data from multiple sources for analytics and operational use.
 </li>
 <li>
 Work with large datasets and ensure high data quality and availability.
 </li>
 <li>
 Develop and maintain ETL workflows using standard tools and scripting.
 </li>
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 Automate data extraction, transformation, and loading processes across systems.
 </li>
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 Monitor and optimize performance of data workflows for speed and efficiency.
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 Develop, maintain, and optimize complex SQL queries, stored procedures, functions, and views.
 </li>
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 Design and implement relational database schemas and indexing strategies.
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 Ensure data integrity, security, and compliance within SQL Server environments.
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 Work with MongoDB for storing and querying unstructured or semi-structured data.
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 Design document-based data models and manage performance tuning for MongoDB.
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 Handle replication and backup strategies where applicable.
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 Analyze complex data requirements and translate them into efficient technical solutions.
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 Identify data-related issues, perform root-cause analysis, and deliver timely resolutions.
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 Work closely with data analysts, software engineers, and business stakeholders to understand requirements.
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 Participate in code reviews, team planning sessions, and cross-functional meetings.
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 Take ownership of assigned tasks with accountability and attention to detail.
 </li>
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 Exhibit a proactive approach to delivering solutions and supporting team goals.
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 Contribute to architectural discussions and recommend improvements based on industry best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in data engineering or database development roles.
 </li>
 <li>
 Strong proficiency in SQL Server (T-SQL, indexing, optimization).
 </li>
 <li>
 Hands-on experience with MongoDB or other NoSQL technologies.
 </li>
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 Familiarity with data pipeline tools and ETL development.
 </li>
 <li>
 Working knowledge of Python or similar scripting languages.
 </li>
 <li>
 Understanding of data modeling, normalization, and data warehousing concepts.
 </li>
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 Strong analytical thinking and problem-solving skills.
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 Excellent communication and teamwork abilities.
 </li>
 </ul>
</div>

Data Engineer, Tech

NextGen | GTA: A Kelly Telecom Company

<div>
 
 
 Position Overview
 
 
 
 We are seeking a highly skilled
 
 Data Analyst
 
 to play a key role in transforming our data into high-quality, actionable insights that support business decision-making&mdash;particularly for sales and revenue operations. This role partners closely with data engineers, business analysts, system administrators, and business stakeholders to define data requirements, ensure data accuracy, and deliver meaningful analytics.
 
 
 The ideal candidate brings strong technical expertise, along with hands-on experience working with CRM and sales data. They enjoy working in a dynamic, fast-paced environment and are comfortable with ambiguity.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Work with data engineers, business analysts, and stakeholders to define data requirements.
 </li>
 <li>
 Examine data from multiple source systems and run comparison analysis for anomalies, errors, and inconsistencies.
 </li>
 <li>
 Design and implement mapping logic to cleanse, filter, and structure raw data into usable, high-quality data sets. Document data mappings, conversion rules, workflows, and ETL specifications.
 </li>
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 Work with technical SMEs and system administrators to create and optimize ETL processes, scripts, and workflows to move data between systems.
 </li>
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 Work with technical and functional SMEs to validate data and ensure high quality. Troubleshoot and problem solve data-related issues.
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 Use statistical techniques to interpret data, identify patterns, and predict trends
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 Create interactive dashboards, reports, and visualizations to communicate findings to stakeholders.
 </li>
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 Make recommendations to improve processes, workflows, and automation.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Required Skills and Qualifications
 
 
 <ul>
 <li>
 
 3+ years work experience
 
 in a data analyst or equivalent role
 </li>
 <li>
 
 Functional Experience:
 
 Supporting sales organizations and working with sales data, customer accounts data, and revenue data
 </li>
 <li>
 
 CRM
 
 : Experience with CRM Tools such as HubSpot, Bullhorn, and Gong
 </li>
 <li>
 
 BI
 
 : Experience with BI Tools such as Power BI or Tableau
 </li>
 <li>
 
 Data Analysis:
 
 Ability to analyze data structures and interpret complex datasets.
 </li>
 <li>
 
 Analytical Skills:
 
 Strong mathematical skills to gather, measure, and analyze data.
 </li>
 <li>
 
 Technical Skills:
 
 Strong proficiency in SQL, experience with ETL tools (e.g., Informatica, Talend, SSIS), and scripting languages (Python, Bash). Experience with Excel and Power Point.
 </li>
 <li>
 
 Database Knowledge:
 
 Familiarity with relational databases (SQL Server, Oracle, PostgreSQL) and data warehousing concepts.
 </li>
 <li>
 
 Soft Skills:
 
 Communication skills to explain technical findings to non-technical stakeholders and critical thinking to solve business problems.
 </li>
 <li>
 
 Education:
 
 Bachelor's degree in mathematics, statistics, computer science, data science, or business analytics; or equivalent work experience.
 </li>
 </ul>
 
 
</div>

Data Analyst

Tweety Four 7

Job Title: Shopify Developer (2&ndash;3 Years Experience) &ndash; LahoreLocation: DHA Phase 1, LahoreJob Type: Full-Time (Onsite)Shift: 7 PM &ndash; 3 AMSalary: 70,000 &ndash; 75,000PKR⸻Job SummaryWe are looking for a highly skilled Shopify Developer with 2&ndash;3 years of experience to join our client&rsquo;s development team. The ideal candidate has strong hands-on experience with Liquid, Shopify theme customization, HTML/CSS/JavaScript, and Shopify App integrations. You will be responsible for building responsive, fast, and conversion-optimized Shopify stores.⸻Key Responsibilities<ul><li>Develop and customize Shopify themes using Liquid, HTML, CSS, and JavaScript</li><li>Build responsive, pixel-perfect UI/UX from Figma or Adobe XD</li><li>Optimize store performance, speed, and SEO</li><li>Integrate and configure Shopify Apps (subscriptions, reviews, upsell, analytics)</li><li>Troubleshoot theme issues and third-party integrations</li><li>Collaborate with design, QA, and marketing teams</li><li>Stay updated with Shopify and eCommerce best practices</li></ul>⸻Required Skills &amp; Experience<ul><li>2&ndash;3 years of professional experience in Shopify Development</li><li>Strong understanding of Liquid, HTML5, CSS3, JavaScript, jQuery</li><li>Experience with theme customization, product pages &amp; checkout modifications</li><li>Familiarity with Shopify Apps, API integrations, and Git</li><li>Strong debugging and problem-solving abilities</li><li>Good communication and teamwork skills</li></ul>⸻Preferred Skills (Plus but not required)<ul><li>WordPress/WooCommerce</li><li>React.js / Next.js</li><li>SEO basics &amp; analytics tracking</li></ul>⸻Benefits<ul><li>Competitive salary (70&ndash;75K)</li><li>Fuel allowance</li><li>One-time food benefit after 6 months</li><li>Professional, growth-oriented environment</li></ul>.SEO Keywords (to improve ranking)Shopify Developer, Shopify Liquid Developer, eCommerce Developer, Frontend Developer, Shopify Theme Developer, Shopify Jobs Lahore, JavaScript Developer, HTML CSS Developer, eCommerce Jobs Pakistan, Shopify App Integration.Job Type: Full-timePay: Rs70,000.00 - Rs75,000.00 per monthWork Location: In person

Shopify & Wordpress Developer

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Shopify & Wordpress Developer