etl developer

Inseyab Consulting & Information Solutions LLC

<div>
 
 
 Job Title:
 
 ETL Developer (Talend)
 
 
 
 
 
 We are looking for an experienced
 
 ETL Developer (Talend)
 
 with
 
 5+ years of hands-on experience
 
 in designing, developing, and maintaining ETL solutions.
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 5+ years of experience as an ETL Developer
 </li>
 <li>
 Strong expertise in
 
 Talend
 
 </li>
 <li>
 Experience with data integration, transformation, and data pipelines
 </li>
 <li>
 Good understanding of databases and data warehousing concepts
 </li>
 </ul>
 
 
 
 
 
 Apply:
 
 careers@inseyab.com
 
 
 Join us and be part of a growing, dynamic team.
 
</div>

ETL Developer ( Talend)

Squarera

We are looking for a motivated Snowflake Developer with 1&ndash;3 years of experience in data engineering and cloud-based data warehousing. The ideal candidate should have strong SQL skills, hands-on experience with Snowflake features, and a solid understanding of modern ETL/ELT processes.You will be responsible for building and optimizing scalable data pipelines, ensuring high data quality, and supporting analytics and reporting requirements across teams.Key Responsibilities:<ul><li>Develop, implement, and maintain data warehouse solutions using the Snowflake Cloud Data Platform.</li><li>Build and optimize ETL/ELT pipelines using tools such as dbt, Airflow, or Azure Data Factory.</li><li>Design and maintain data models, schemas, and transformations for analytics and reporting.</li><li>Implement data performance optimization, partitioning, and clustering strategies in Snowflake.</li><li>Manage data access, roles, and security policies.</li><li>Integrate Snowflake with cloud storage and BI tools like Power BI, Tableau, or Looker.</li><li>Troubleshoot and resolve issues in data ingestion, transformation, and performance.</li></ul>Required Skills &amp; Experience:<ul><li>1&ndash;3 years of experience as a Snowflake Developer or Data Engineer.</li><li>Strong command over SQL and data modeling concepts (star/snowflake schema).</li><li>Practical experience with Snowflake architecture (warehouses, Snowpipes, Streams, Tasks, etc.).</li><li>Familiarity with cloud environments (AWS, Azure, or GCP).</li><li>Experience working with structured and semi-structured data (JSON, Parquet, etc.).</li><li>Basic knowledge of Python for scripting and data manipulation.</li><li>Good understanding of ETL/ELT workflows and best practices.</li></ul>Preferred Qualifications:<ul><li>SnowPro Core Certification (a plus).</li><li>Experience in CI/CD pipelines and version control (Git, Jenkins).</li><li>Exposure to data governance and security compliance processes.</li></ul>Benefits:<ul><li>Market-competitive salary</li><li>Opportunity for international travel</li><li>Medical coverage</li><li>Annual performance-based bonus</li><li>Collaborative and innovative work environment</li></ul>Job Type: Full-timeWork Location: In person

Snowflake Developer

Enterprise64

<div>Overview 
Enterprise64 is a U.S.-based technology company that creates digital solutions for startups to Fortune 500 companies in the United States, Europe, and the United Arab Emirates. We are growing rapidly across all our global offices and have career opportunities for tech professionals who are looking to work in a fast-growing company, work in a fun environment, be challenged, grow, and fast-track their careers.
Job Overview 
We are hiring a Senior Python Backend Developer to join our dynamic team (Contract Role). The ideal candidate will have strong expertise in backend development, API design, and database optimization, ensuring high-performance, scalable, and secure applications. You will collaborate with cross-functional teams to build efficient, maintainable, and reliable backend solutions that drive our innovative products.
Key Responsibilities<ul><li>
Design, develop, and maintain ETL pipelines for large-scale data processing and integration.</li><li>
Work with AWS Glue, PySpark, and Apache Spark to process structured and unstructured data efficiently.</li><li>
Build and optimize data ingestion workflows from multiple sources into data lakes and warehouses.</li><li>
Ensure data quality, consistency, and reliability through validation and monitoring.</li><li>
Collaborate with cross-functional teams, including data scientists, analysts, and backend engineers, to deliver scalable data solutions.</li><li>
Implement and manage data transformation and schema evolution using AWS services (Glue, S3, Lambda, Redshift, etc.).</li><li>
Optimize Spark jobs for performance and cost efficiency.</li><li>
Develop and maintain metadata management and data cataloging in AWS Glue.</li><li>
Ensure adherence to data security, compliance, and governance best practices.</li><li>
Use Python for automation, data manipulation, and integration tasks.</li><li>
Implement CI/CD pipelines for data workflows and maintain infrastructure-as-code (IaC) using tools like Terraform or CloudFormation (a plus).</li></ul> 
Preferred Qualifications<ul><li>
Strong expertise in Python and PySpark for large-scale data processing.</li><li>
Hands-on experience with AWS Glue, AWS Lambda, S3, and Redshift.</li><li>
Solid understanding of ETL frameworks, data modeling, and data warehousing concepts.</li><li>
Experience with Apache Spark and distributed computing principles.</li><li>
Familiarity with workflow orchestration tools (e.g., Airflow, Step Functions).</li><li>
Knowledge of SQL and NoSQL databases for data querying and optimization.</li><li>
Strong problem-solving and debugging skills for data-intensive applications.</li><li>
Experience working in agile environments and collaborating with cross-functional teams.</li></ul></div>

Senior Python Developer - Contractor

Systems Limited

<div>We are looking for an experienced ETL PySpark Data Engineer to design, build, and optimize scalable data pipelines.
<h4 class="jobSectionHeader">
Responsibilities</h4>
<ul>
<li>Design, develop, and maintain ETL pipelines using PySpark
</li>
<li>Process large-scale structured and semi-structured data efficiently
</li>
<li>Build batch and (optional) streaming data pipelines
</li>
<li>Perform data ingestion, transformation, and loading from multiple sources
</li>
<li>Optimize Spark jobs for performance and scalability
</li>
<li>Work with cloud data platforms (Azure / AWS / GCP)
</li>
<li>Ensure data quality, reliability, and governance
</li>
<li>Collaborate with data analysts, architects, and stakeholders
</li>
</ul><h4 class="jobSectionHeader">Requirement:</h4>
<ul>
<li>Strong hands-on experience with PySpark
</li>
<li>Solid understanding of ETL concepts &amp; data warehousing
</li>
<li>Strong SQL skills
</li>
<li>Experience with Spark SQL, DataFrames, and RDDs
</li>
<li>Familiarity with HDFS, Hive, Delta Lake
</li>
<li>Experience with cloud services (Azure Data Factory, Databricks, AWS Glue, etc.)
</li>
<li>Knowledge of Linux &amp; Git</li></ul></div>

Senior Consultant Data Analytics

Liquid Technologies

Liquid Technologies (LiqTeq) is an end-to-end Design and Development Agency. LiqTeq offers various services in DevOps, Data services, and AI to multiple businesses and organizations and those that are in the startup phase. We're a team of creators, thinkers, explorers, and judo trainees. We approach work and play with curiosity and experimentation, using what we learn to create meaningful digital products that connect with people, just like you.Job Description <ul><li>Assemble large, complex data sets and build data pipelines that meet functional, non-functional business and data monetization requirements.</li><li>Work with the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources and cloud-based data storage and analytics services such as AWS, Snowflake etc</li><li>Build analytics tools that utilize the data pipeline to provide actionable insights</li><li>Architect and implement large scale data intelligence solutions around various warehouse solutions by various technologies</li><li>Understand data transformation and translation requirements and which tools to leverage to get the job done</li><li>Developing ETL pipelines in and out of data warehouse using a combination of Python and Snowflakes Snow SQL</li><li>Provide production support for Data Warehouse issues such as data load problems, transformation, and translation problems</li><li>Translate requirements for BI and Reporting to database design</li><li>Understanding data pipelines and modern ways of automating data pipelines using cloud</li><li>Ability to build conceptual, physical and logical data models</li><li>Utilize database and web application technologies to design, develop, and evaluate innovative business intelligence tools and automate reports</li><li>Merge BI platforms with enterprise systems and applications and document models, solutions, and implementations.</li><li>Work with various internal and stakeholders including the product, data and design teams to assist with data-related technical issues.</li></ul>Qualification - Experience Requirements:<ul><li>Minimum 2 years of experience in the data engineering role is a must.</li><li>Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.</li><li>Experience building and optimizing &lsquo;big data&rsquo; data pipelines, architectures and data sets.</li><li>Data engineering experience with database-centric and pipeline-centric roles ○ Strong analytic skills related to working with unstructured datasets.</li><li>Working knowledge of message queuing, stream processing, and highly scalable &lsquo;big data&rsquo; data stores.</li><li>A solid experience and understanding of architecting, designing and operationalization of large scale data and analytics solutions on Snowflake Cloud Data Warehouse is a must.</li><li>Solid proficiency in data warehousing concepts (ETL, Stage/Core layer, Dimensional Modeling, Data Marts etc.) and SQL programming</li><li>Ability to capture customer requirements and translate into functional and technical solutions</li><li>Past experience in using Enterprise BI tools like PowerBI, Tableau, Oracle BI, Oracle Analytics Cloud, AWS, Azure And GCP etc.</li><li>Ability to develop technical design documentation, training and presentation material</li><li>Understanding and experience of working in an agile project environment</li><li>Highly proficient in DDL, DML, DCL, TCL, and DQL</li><li>Experience with big data tools: Apache Hadoop, Spark, Kafka, Storm, Airflow is a plus.</li><li>Experience with relational SQL and NoSQL databases.</li><li>Experience with AWS cloud services: EC2, EMR and RDS is a plus</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have working with relational databases and SQL?</li><li>Have you worked with big data tools like Spark, Hadoop, or Kafka?</li><li>Have you built ETL pipelines using Python and Snowflake in a production environment?</li><li>What is your Current Salary?</li><li>What is your Expected Salary?</li><li>Are you comfortable to manage your commute to Zamzama DHA Phase V?</li></ul>Work Location: In person

Data Engineer

Careem

<div><div>Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires. 
Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.

We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.</div><div><div>
About the role: 
We are seeking a highly skilled and motivated Data Warehouse Engineer to join our team. As a Data Warehouse Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring the availability, scalability, and reliability of our data systems. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to support data-driven decision-making and enable the efficient processing of large-scale data.</div>
<div></div>
<div>What you'll do:</div>
<ul><li>Design and develop robust, scalable, and high-performance data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lake.</li>
<li>Collaborate with stakeholders to understand their data requirements, and design and implement appropriate data models and database schemas to support their needs.</li>
<li>Optimize data pipelines and ETL processes for performance and efficiency, ensuring timely and accurate data delivery to end-users.</li>
<li>Monitor, troubleshoot, and resolve issues related to data quality, data consistency, and data integrity, ensuring the reliability and correctness of our data systems.</li>
<li>Implement and maintain data governance practices and policies, ensuring compliance with data privacy and security regulations.</li>
<li>Collaborate with data scientists and analysts to provide them with the necessary data infrastructure and tools for conducting advanced analytics and deriving insights.</li>
<li>Stay up-to-date with the latest trends and technologies in data engineering and recommend innovative solutions to improve data engineering processes and systems.</li>
<li>Document data engineering processes, data flows, and system architectures to ensure knowledge sharing and maintain an up-to-date repository of technical documentation.</li>
<li>Work closely with cross-functional teams, including software engineers and infrastructure teams, to optimize data infrastructure and ensure its seamless integration with other systems.</li>
</ul><div>What you'll need</div>
<ul><li>Bachelor's degree in Computer Science, Engineering, or a related field.</li>
<li>At least 6 years of experience as a Data Warehouse] Engineer or in a similar role, working with large-scale data processing and ETL pipelines.</li>
<li>Strong programming skills in languages such as Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.</li>
<li>Experience with SQL and database technologies (e.g., relational databases, SQL queries, data modeling).</li>
<li>Proficiency in working with big data technologies such as Hadoop, Hive and knowledge of distributed systems and cloud computing platforms (e.g., AWS, Azure, GCP).</li>
<li>Familiarity with data integration and workflow management tools such as Apache Airflow</li>
<li>Knowledge of data warehousing concepts and experience with data warehousing solutions is highly desirable.</li>
<li>Strong analytical and problem-solving skills, with the ability to analyze complex data-related issues and propose effective solutions.</li>
<li>Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.</li>
<li>Attention to detail and a strong commitment to delivering high-quality work within established timelines.</li>
<li>Join our dynamic team and contribute to building scalable data infrastructure that powers data analytics and decision-making processes. Apply your expertise in data engineering to help us unlock the full potential of our data assets and drive meaningful insights for our organization.</li></ul></div></div>

Senior Data Warehouse Engineer I

EXA Capital, Inc

Job Title: Software Developer - Integrations Location: Karachi, Pakistan Type: Permanent Location: Karachi, Pakistan Working Arrangements: Hybrid Working Hours: 11am - 8pmNomos One Nomos One is on a mission to enable the world of lease management and lease accounting. We are a NZ founded company with a head office in Dunedin, New Zealand and have people working remotely across New Zealand. We serve a global market with a software as a service solution, that enables centralised, digitized and automated efficiency for businesses that use leasing as a core asset procurement tool.About the Role We&rsquo;re seeking an Integration Developer to lead the end-to-end development of connectors between Nomos One and ERP platforms (e.g., Sage Intacct, SAP S/4HANA, MS D365, etc.). This hands-on role is perfect for someone who thrives in fast-paced environments, brings deep technical knowledge of ERP systems, and can take ownership of integration design, development, testing, and delivery.Key Accountabilities <ul><li>Lead the technical design and development of robust, scalable connector(s) between Nomos One and selected ERP platform(s) (e.g. SAP S/4HANA, Oracle, D365, Sage Intaact, PowerBi).</li><li>Work closely with the NZ-based product team to understand the Nomos One system and data architecture.</li><li>Collaborate with Nomos One&rsquo;s New Zealand based product and development teams to define functional and non-functional integration requirements and a product plan.</li><li>Translate business processes into effective data flows between systems, ensuring compliance with accounting and security standards.</li><li>Build, test, and deploy APIs, middleware, or ETL solutions to facilitate secure and seamless data exchange.</li><li>Document integration architecture, setup instructions, and troubleshooting guides for internal use and client onboarding.</li><li>Liaise with ERP technical contacts and external partners to ensure compatibility and support.</li><li>Ensure the delivered integration meets performance, security, and architecture standards and expectation.</li><li>Define and execute a comprehensive testing plan which includes end-user engagement.</li><li>Maintain regular communication with Nomos project team.</li><li>Complete project work within established timeframes.</li></ul>Self-Development<ul><li>Identify appropriate training requirements for your role and participate in educational opportunities, appropriate training, and maintain personal networks.</li></ul>Health &amp; Safety <ul><li>Contribute on an on-going basis toward maintaining a safe working environment both for yourself and for those working with you or in your close vicinity. Including adhering to all relevant Health &amp; Safety &amp; Emergency policies and procedures</li><li>Where hazards are identified, report and manage them, including self-management where appropriate.</li></ul>Qualifications, Experience &amp; SkillsRequired Skills &amp; Experience <ul><li>Proven experience developing integrations with ERP, workflow management and BI systems</li><li>Proficiency in API design and development (REST/SOAP), and data integration patterns.</li><li>Experience with ERP data models&mdash;especially financial data like GL, AP, AR, and journal entries.</li><li>Strong coding/scripting skills in JavaScript, TypeScript, NodeJS, Python, SQL and React or similar framework (Vue, Angular).</li><li>Experience using version control, Git, Github Actions, CI/CD</li><li>Experience with user testing</li><li>Ability to work independently and lead a project from discovery to delivery</li><li>Excellent communication and collaboration skills with cross-functional stakeholders</li><li>Strong written and verbal communication skills</li></ul>Desirable Skills &amp; Experience<ul><li>Familiarity and experience with AWS Serverless based services, i.e. Lambda, SNS, SQS, EventBridge, etc</li><li>Experience with integration/middleware platforms (e.g., Boomi, MuleSoft, Azure Logic Apps) is a plus.</li><li>Familiarity with cicroservice and event driven design patterns&#8239;and principles</li><li>An understanding of relational and Non-Relational Databases, i.e. Oracle, Postgres, DynamoDB, Redis</li><li>Familiarity with lease accounting standards (e.g., IFRS 16) is a bonus</li></ul>Job Type: Full-timePay: Up to Rs450,000.00 per monthWork Location: In person

Software Developer - Integrations

Explore 170+ Etl developer in Karachi Pakistan this January. Find roles across top companies and apply now to boost your career.