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data engineer

NorthBay - Pakistan

<div>
 
 Job Title: Data Engineer
 
 
 
 
 Location:
 
 Karachi, Lahore , Islamabad (Hybrid)
 
 
 
 Experience:
 
 5+ Years
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Job Overview
 
 
 
 We are looking for a highly skilled and experienced
 
 Data Engineer
 
 with a strong foundation in
 
 Big Data, distributed computing, and cloud-based data solutions
 
 . This role demands a strong understanding of end-to-end Data pipelines, data modeling, and advanced data engineering practices across diverse data sources and environments. You will play a pivotal role in building, deploying, and optimizing data infrastructure and pipelines in a scalable cloud-based architecture.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain large-scale Data pipelines using modern big data technologies and cloud-native tools.
 </li>
 <li>
 Build scalable and efficient distributed data processing systems using Hadoop, Spark, Hive, and Kafka.
 </li>
 <li>
 Work extensively with cloud platforms (preferably AWS) and services like EMR, Glue, Lambda, Athena, S3.
 </li>
 <li>
 Design and implement data integration solutions pulling from multiple sources into a centralized data warehouse or data lake.
 </li>
 <li>
 Develop pipelines using DBT (Data Build Tool) and manage workflows with Apache Airflow or Step Functions.
 </li>
 <li>
 Write clean, maintainable, and efficient code using Python, PySpark, or Scala for data transformation and processing.
 </li>
 <li>
 Build and manage relational and columnar data stores such as PostgreSQL, MySQL, Redshift, Snowflake, HBase, ClickHouse.
 </li>
 <li>
 Implement CI/CD pipelines using Docker, Jenkins, and other DevOps tools.
 </li>
 <li>
 Collaborate with data scientists, analysts, and other engineering teams to deploy data models into production.
 </li>
 <li>
 Drive data quality, integrity, and consistency across systems.
 </li>
 <li>
 Participate in Agile/Scrum ceremonies and utilize JIRA for task management.
 </li>
 <li>
 Provide mentorship and technical guidance to junior team members.
 </li>
 <li>
 Contribute to continuous improvement by making recommendations to enhance data engineering processes and architecture.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 5+ years of hands-on experience as a Data Engineer
 </li>
 <li>
 Deep knowledge of Big Data technologies &ndash; Hadoop, Spark, Hive, Kafka.
 </li>
 <li>
 Expertise in Python, PySpark and/or Scala.
 </li>
 <li>
 Proficient with data modeling, SQL scripting, and working with large-scale datasets.
 </li>
 <li>
 Experience with distributed storage like HDFS and cloud storage (e.g., AWS S3).
 </li>
 <li>
 Hands-on with data orchestration tools like Apache Airflow or StepFunction.
 </li>
 <li>
 Experience working in AWS environments with services such as EMR, Glue, Lambda, Athena.
 </li>
 <li>
 Familiarity with data warehousing concepts and experience with tools like Redshift, Snowflake (preferred).
 </li>
 <li>
 Exposure to tools like Informatica, AbInitio, Apache Iceberg is a plus.
 </li>
 <li>
 Knowledge of Docker, Jenkins, and other CI/CD tools.
 </li>
 <li>
 Strong problem-solving skills, initiative, and a continuous learning mindset.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related field.
 </li>
 <li>
 Experience with open table formats such as Apache Iceberg.
 </li>
 <li>
 Hands-on with AbInitio (GDE, Collect &gt; IT) or Informatica tools.
 </li>
 <li>
 Knowledge of Agile methodology, working experience in JIRA.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Self-driven, proactive, and a strong team player.
 </li>
 <li>
 Excellent communication and interpersonal skills.
 </li>
 <li>
 Passion for data and technology innovation.
 </li>
 <li>
 Ability to work independently and manage multiple priorities in a fast-paced environment.
 </li>
 </ul>
</div>
 <div id='job-id'>Job Id: MbS1qQw/Ey2WCTW4RK2xg6bPaiah5IfTQ1OH0E5sjQZzCCaU1Rd3dWDG9fExC93lr9BJoGQTWbK5s+u9u9mA4oWeWr+NFE/2tA==</div>

Data Engineer

NorthBay Solutions

<div><h3 class="jobSectionHeader">Job Title: Data Engineer</h3>
Location: Karachi, Lahore , Islamabad (Hybrid) 
Experience: 5+ Years 
Job Type: Full-Time<h3 class="jobSectionHeader"> 
Job Overview:</h3>
We are looking for a highly skilled and experienced Data Engineer with a strong foundation in Big Data, distributed computing, and cloud-based data solutions. This role demands a strong understanding of end-to-end Data pipelines, data modeling, and advanced data engineering practices across diverse data sources and environments. You will play a pivotal role in building, deploying, and optimizing data infrastructure and pipelines in a scalable cloud-based architecture.<h3 class="jobSectionHeader"> 
Key Responsibilities:</h3><ul><li>
Design, develop, and maintain large-scale Data pipelines using modern big data technologies and cloud-native tools.</li><li>
Build scalable and efficient distributed data processing systems using Hadoop, Spark, Hive, and Kafka.</li><li>
Work extensively with cloud platforms (preferably AWS) and services like EMR, Glue, Lambda, Athena, S3.</li><li>
Design and implement data integration solutions pulling from multiple sources into a centralized data warehouse or data lake.</li><li>
Develop pipelines using DBT (Data Build Tool) and manage workflows with Apache Airflow or Step Functions.</li><li>
Write clean, maintainable, and efficient code using Python, PySpark, or Scala for data transformation and processing.</li><li>
Build and manage relational and columnar data stores such as PostgreSQL, MySQL, Redshift, Snowflake, HBase, ClickHouse.</li><li>
Implement CI/CD pipelines using Docker, Jenkins, and other DevOps tools.</li><li>
Collaborate with data scientists, analysts, and other engineering teams to deploy data models into production.</li><li>
Drive data quality, integrity, and consistency across systems.</li><li>
Participate in Agile/Scrum ceremonies and utilize JIRA for task management.</li><li>
Provide mentorship and technical guidance to junior team members.</li><li>
Contribute to continuous improvement by making recommendations to enhance data engineering processes and architecture.</li></ul><h3 class="jobSectionHeader"> 
Required Skills &amp; Experience:</h3><ul><li>
5+ years of hands-on experience as a Data Engineer</li><li>
Deep knowledge of Big Data technologies &ndash; Hadoop, Spark, Hive, Kafka.</li><li>
Expertise in Python, PySpark and/or Scala.</li><li>
Proficient with data modeling, SQL scripting, and working with large-scale datasets.</li><li>
Experience with distributed storage like HDFS and cloud storage (e.g., AWS S3).</li><li>
Hands-on with data orchestration tools like Apache Airflow or StepFunction.</li><li>
Experience working in AWS environments with services such as EMR, Glue, Lambda, Athena.</li><li>
Familiarity with data warehousing concepts and experience with tools like Redshift, Snowflake (preferred).</li><li>
Exposure to tools like Informatica, AbInitio, Apache Iceberg is a plus.</li><li>
Knowledge of Docker, Jenkins, and other CI/CD tools.</li><li>
Strong problem-solving skills, initiative, and a continuous learning mindset.</li></ul><h3 class="jobSectionHeader"> 
Preferred Qualifications:</h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related field.</li><li>
Experience with open table formats such as Apache Iceberg.</li><li>
Hands-on with AbInitio (GDE, Collect &gt; IT) or Informatica tools.</li><li>
Knowledge of Agile methodology, working experience in JIRA.</li></ul><h3 class="jobSectionHeader"> 
Soft Skills:</h3><ul><li>
Self-driven, proactive, and a strong team player.</li><li>
Excellent communication and interpersonal skills.</li><li>
Passion for data and technology innovation.</li><li>
Ability to work independently and manage multiple priorities in a fast-paced environment.</li></ul>
hBvm6JH7pW</div> <div id='job-id'>Job Id: RiJx/PjCSrtcOpqRue346a8/YP8w8YGwRYVKLkmtCwfNdHP0Npo8qm1lgu+MrmIuKOBZnZY5YIydJz07kjz1kMq6Yx2gJSLUkTw9/5VBZZPbyYSPO6EH/vErxJ3m23lTYpEevB13JcA=</div>

<div>
 
 Job Title: Data Engineer&nbsp;
 
 
 
 Location:
 
 &nbsp;Karachi, Lahore , Islamabad (Hybrid)
 
 
 Experience:
 
 &nbsp;5+ Years
 
 
 Job Type:
 
 Full-Time
 
 &nbsp;
 
 
 Job Overview:
 
 
 We are looking for a highly skilled and experienced
 
 Data Engineer
 
 with a strong foundation in
 
 Big Data, distributed computing, and cloud-based data solutions
 
 . This role demands a strong understanding of end-to-end Data pipelines, data modeling, and advanced data engineering practices across diverse data sources and environments. You will play a pivotal role in building, deploying, and optimizing data infrastructure and pipelines in a scalable cloud-based architecture.
 
 
 
 Key Responsibilities:
 
 <ul>
 <li>
 
 Design, develop, and maintain large-scale
 
 Data pipelines
 
 using modern big data technologies and cloud-native tools.
 
 </li>
 <li>
 
 Build scalable and efficient
 
 distributed data processing systems
 
 using
 
 Hadoop, Spark, Hive, and Kafka
 
 .
 
 </li>
 <li>
 
 Work extensively with
 
 cloud platforms (preferably AWS)
 
 and services like
 
 EMR, Glue, Lambda, Athena, S3
 
 .
 
 </li>
 <li>
 
 Design and implement
 
 data integration solutions
 
 pulling from multiple sources into a centralized data warehouse or data lake.
 
 </li>
 <li>
 
 Develop pipelines using
 
 DBT (Data Build Tool)
 
 and manage workflows with
 
 Apache Airflow or Step Functions
 
 .
 
 </li>
 <li>
 
 Write clean, maintainable, and efficient code using
 
 Python, PySpark, or Scala
 
 for data transformation and processing.
 
 </li>
 <li>
 
 Build and manage
 
 relational and columnar data stores
 
 such as
 
 PostgreSQL, MySQL, Redshift, Snowflake, HBase, ClickHouse
 
 .
 
 </li>
 <li>
 
 Implement
 
 CI/CD pipelines
 
 using
 
 Docker, Jenkins
 
 , and other DevOps tools.
 
 </li>
 <li>
 
 Collaborate with data scientists, analysts, and other engineering teams to deploy data models into production.
 
 </li>
 <li>
 
 Drive
 
 data quality
 
 , integrity, and consistency across systems.
 
 </li>
 <li>
 
 Participate in
 
 Agile/Scrum ceremonies
 
 and utilize
 
 JIRA
 
 for task management.
 
 </li>
 <li>
 
 Provide mentorship and technical guidance to junior team members.
 
 </li>
 <li>
 
 Contribute to continuous improvement by making recommendations to enhance data engineering processes and architecture.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience:
 
 <ul>
 <li>
 
 5+ years of hands-on experience as a
 
 Data Engineer&nbsp;
 
 
 </li>
 <li>
 
 Deep knowledge of
 
 Big Data technologies
 
 &ndash; Hadoop, Spark, Hive, Kafka.
 
 </li>
 <li>
 
 Expertise in
 
 Python, PySpark and/or Scala
 
 .
 
 </li>
 <li>
 
 Proficient with
 
 data modeling
 
 ,
 
 SQL scripting
 
 , and working with
 
 large-scale datasets
 
 .
 
 </li>
 <li>
 
 Experience with
 
 distributed storage
 
 like
 
 HDFS
 
 and
 
 cloud storage
 
 (e.g., AWS S3).
 
 </li>
 <li>
 
 Hands-on with
 
 data orchestration tools
 
 like Apache Airflow or StepFunction.
 
 </li>
 <li>
 
 Experience working in
 
 AWS environments
 
 with services such as EMR, Glue, Lambda, Athena.
 
 </li>
 <li>
 
 Familiarity with
 
 data warehousing concepts
 
 and experience with tools like
 
 Redshift, Snowflake
 
 (preferred).
 
 </li>
 <li>
 
 Exposure to tools like
 
 Informatica
 
 ,
 
 AbInitio
 
 ,
 
 Apache Iceberg
 
 is a plus.
 
 </li>
 <li>
 
 Knowledge of
 
 Docker
 
 ,
 
 Jenkins
 
 , and other CI/CD tools.
 
 </li>
 <li>
 
 Strong problem-solving skills, initiative, and a continuous learning mindset.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 <ul>
 <li>
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related field.
 
 </li>
 <li>
 
 Experience with
 
 open table formats
 
 such as Apache Iceberg.
 
 </li>
 <li>
 
 Hands-on with
 
 AbInitio (GDE, Collect &gt; IT)
 
 or
 
 Informatica
 
 tools.
 
 </li>
 <li>
 
 Knowledge of
 
 Agile methodology
 
 , working experience in
 
 JIRA
 
 .
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 <ul>
 <li>
 
 Self-driven, proactive, and a strong team player.
 
 </li>
 <li>
 
 Excellent communication and interpersonal skills.
 
 </li>
 <li>
 
 Passion for data and technology innovation.
 
 </li>
 <li>
 
 Ability to work independently and manage multiple priorities in a fast-paced environment.
 
 </li>
 </ul>
</div>
 <div id='job-id'>Job Id: sWFotAf3OCM541pTa9NzAtV7w+jbOk1exm/YrX7MJ9I6IM9cgYVYYvvzEAU8XT74wO9ehBXP9ARSjWrvU83eHfuDsOCH52aQGU7KVZlMCckPFt96IgKX6p7UsBvktpuGbF8AwRTvVwd1RAsw8k4467vKypsNWUmngF67BfExbRNHQmoHA5MI5XBREVUWrhnkwngDaMSJu6jvOanYX8RX6wSO9q39X/ekQckH+QSCxCK72u9fpO2quSJaaGrVix/15b4EcQJNgpzua+c=</div>

<div><h3 class="jobSectionHeader">Job Title: Data Engineer</h3>
Location: Karachi, Lahore , Islamabad (Hybrid) 
Experience: 5+ Years 
Job Type: Full-Time<h3 class="jobSectionHeader"> 
Job Overview:</h3>
We are looking for a highly skilled and experienced Data Engineer with a strong foundation in Big Data, distributed computing, and cloud-based data solutions. This role demands a strong understanding of end-to-end Data pipelines, data modeling, and advanced data engineering practices across diverse data sources and environments. You will play a pivotal role in building, deploying, and optimizing data infrastructure and pipelines in a scalable cloud-based architecture.<h3 class="jobSectionHeader"> 
Key Responsibilities:</h3><ul><li>
Design, develop, and maintain large-scale Data pipelines using modern big data technologies and cloud-native tools.</li><li>
Build scalable and efficient distributed data processing systems using Hadoop, Spark, Hive, and Kafka.</li><li>
Work extensively with cloud platforms (preferably AWS) and services like EMR, Glue, Lambda, Athena, S3.</li><li>
Design and implement data integration solutions pulling from multiple sources into a centralized data warehouse or data lake.</li><li>
Develop pipelines using DBT (Data Build Tool) and manage workflows with Apache Airflow or Step Functions.</li><li>
Write clean, maintainable, and efficient code using Python, PySpark, or Scala for data transformation and processing.</li><li>
Build and manage relational and columnar data stores such as PostgreSQL, MySQL, Redshift, Snowflake, HBase, ClickHouse.</li><li>
Implement CI/CD pipelines using Docker, Jenkins, and other DevOps tools.</li><li>
Collaborate with data scientists, analysts, and other engineering teams to deploy data models into production.</li><li>
Drive data quality, integrity, and consistency across systems.</li><li>
Participate in Agile/Scrum ceremonies and utilize JIRA for task management.</li><li>
Provide mentorship and technical guidance to junior team members.</li><li>
Contribute to continuous improvement by making recommendations to enhance data engineering processes and architecture.</li></ul><h3 class="jobSectionHeader"> 
Required Skills &amp; Experience:</h3><ul><li>
5+ years of hands-on experience as a Data Engineer</li><li>
Deep knowledge of Big Data technologies &ndash; Hadoop, Spark, Hive, Kafka.</li><li>
Expertise in Python, PySpark and/or Scala.</li><li>
Proficient with data modeling, SQL scripting, and working with large-scale datasets.</li><li>
Experience with distributed storage like HDFS and cloud storage (e.g., AWS S3).</li><li>
Hands-on with data orchestration tools like Apache Airflow or StepFunction.</li><li>
Experience working in AWS environments with services such as EMR, Glue, Lambda, Athena.</li><li>
Familiarity with data warehousing concepts and experience with tools like Redshift, Snowflake (preferred).</li><li>
Exposure to tools like Informatica, AbInitio, Apache Iceberg is a plus.</li><li>
Knowledge of Docker, Jenkins, and other CI/CD tools.</li><li>
Strong problem-solving skills, initiative, and a continuous learning mindset.</li></ul><h3 class="jobSectionHeader"> 
Preferred Qualifications:</h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related field.</li><li>
Experience with open table formats such as Apache Iceberg.</li><li>
Hands-on with AbInitio (GDE, Collect &gt; IT) or Informatica tools.</li><li>
Knowledge of Agile methodology, working experience in JIRA.</li></ul><h3 class="jobSectionHeader"> 
Soft Skills:</h3><ul><li>
Self-driven, proactive, and a strong team player.</li><li>
Excellent communication and interpersonal skills.</li><li>
Passion for data and technology innovation.</li><li>
Ability to work independently and manage multiple priorities in a fast-paced environment.</li></ul>
F30vaWsSjz</div> <div id='job-id'>Job Id: FB4ai9qZV/Gi+O1pgSPgTEb8d5crVbIJi3HNhmPbXEHcgDw2KivMIHCIDUP75RDDvdL8w67pSHqV1e5DU3diEyaRVKEhI9qtwXrQ6ppp7DQ8FSH55FbdQE6L+O/ouBB8VNJfKgGJKuk=</div>

<div><h3 class="jobSectionHeader">Job Title: Data Engineer</h3>
Location: Karachi, Lahore , Islamabad (Hybrid) 
Experience: 5+ Years 
Job Type: Full-Time<h3 class="jobSectionHeader"> 
Job Overview:</h3>
We are looking for a highly skilled and experienced Data Engineer with a strong foundation in Big Data, distributed computing, and cloud-based data solutions. This role demands a strong understanding of end-to-end Data pipelines, data modeling, and advanced data engineering practices across diverse data sources and environments. You will play a pivotal role in building, deploying, and optimizing data infrastructure and pipelines in a scalable cloud-based architecture.<h3 class="jobSectionHeader"> 
Key Responsibilities:</h3><ul><li>
Design, develop, and maintain large-scale Data pipelines using modern big data technologies and cloud-native tools.</li><li>
Build scalable and efficient distributed data processing systems using Hadoop, Spark, Hive, and Kafka.</li><li>
Work extensively with cloud platforms (preferably AWS) and services like EMR, Glue, Lambda, Athena, S3.</li><li>
Design and implement data integration solutions pulling from multiple sources into a centralized data warehouse or data lake.</li><li>
Develop pipelines using DBT (Data Build Tool) and manage workflows with Apache Airflow or Step Functions.</li><li>
Write clean, maintainable, and efficient code using Python, PySpark, or Scala for data transformation and processing.</li><li>
Build and manage relational and columnar data stores such as PostgreSQL, MySQL, Redshift, Snowflake, HBase, ClickHouse.</li><li>
Implement CI/CD pipelines using Docker, Jenkins, and other DevOps tools.</li><li>
Collaborate with data scientists, analysts, and other engineering teams to deploy data models into production.</li><li>
Drive data quality, integrity, and consistency across systems.</li><li>
Participate in Agile/Scrum ceremonies and utilize JIRA for task management.</li><li>
Provide mentorship and technical guidance to junior team members.</li><li>
Contribute to continuous improvement by making recommendations to enhance data engineering processes and architecture.</li></ul><h3 class="jobSectionHeader"> 
Required Skills &amp; Experience:</h3><ul><li>
5+ years of hands-on experience as a Data Engineer</li><li>
Deep knowledge of Big Data technologies &ndash; Hadoop, Spark, Hive, Kafka.</li><li>
Expertise in Python, PySpark and/or Scala.</li><li>
Proficient with data modeling, SQL scripting, and working with large-scale datasets.</li><li>
Experience with distributed storage like HDFS and cloud storage (e.g., AWS S3).</li><li>
Hands-on with data orchestration tools like Apache Airflow or StepFunction.</li><li>
Experience working in AWS environments with services such as EMR, Glue, Lambda, Athena.</li><li>
Familiarity with data warehousing concepts and experience with tools like Redshift, Snowflake (preferred).</li><li>
Exposure to tools like Informatica, AbInitio, Apache Iceberg is a plus.</li><li>
Knowledge of Docker, Jenkins, and other CI/CD tools.</li><li>
Strong problem-solving skills, initiative, and a continuous learning mindset.</li></ul><h3 class="jobSectionHeader"> 
Preferred Qualifications:</h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related field.</li><li>
Experience with open table formats such as Apache Iceberg.</li><li>
Hands-on with AbInitio (GDE, Collect &gt; IT) or Informatica tools.</li><li>
Knowledge of Agile methodology, working experience in JIRA.</li></ul><h3 class="jobSectionHeader"> 
Soft Skills:</h3><ul><li>
Self-driven, proactive, and a strong team player.</li><li>
Excellent communication and interpersonal skills.</li><li>
Passion for data and technology innovation.</li><li>
Ability to work independently and manage multiple priorities in a fast-paced environment.</li></ul>
T5gG2IUWuE</div> <div id='job-id'>Job Id: 2eI+SXsZc193IEkiU+2v3GvgiVPV4r7cHxn59hJzDrIzd68I/Lw5ISrhlcGT6lrzAO9CLq5x4HRKc8+xHfd0f6jSLqC9A1W/hOPYidk8qx5ROCcOg2lYPTgrIJXm/3jlPZK/1Sj53FM=</div>

Awesome Technologies Inc.

Job Summary:We are seeking a Senior Data Engineer with deep expertise in SQL, database architecture, and performance optimization to lead a critical initiative aimed at consolidating ~290 databases down to 60&ndash;65 streamlined and optimized systems. This is a highly technical, hands-on role requiring strong analytical thinking and proven experience in large-scale database restructuring projects.Key Responsibilities:<ul><li>Lead and execute a large-scale database consolidation initiative, reducing 290 databases to approximately 60&ndash;65.</li><li>Evaluate existing database architecture and design optimal solutions to support consolidation and performance.</li><li>Write, optimize, and maintain complex SQL queries (preferably using T-SQL) for data migration, transformation, and restructuring.</li><li>Perform indexing, performance tuning, and query optimization to ensure minimal downtime and high system efficiency.</li><li>Work with SSIS and custom scripts to support data movement and integration between systems.</li><li>Use Python for automation, scripting, or handling data transformation workflows where applicable.</li><li>Collaborate with cross-functional teams, including DBAs, developers, and business analysts to ensure seamless data flow and integrity.</li><li>Provide ongoing support, troubleshooting, and documentation throughout the migration process.</li><li>Apply best practices in data engineering, security, and system design.</li></ul>Required Qualifications:<ul><li>Must be good in English Communication</li><li>5+ years of experience as a Data Engineer or Database Engineer with a strong track record of managing complex, large-scale database environments.</li><li>Expert-level SQL skills, preferably T-SQL.</li><li>Deep understanding of database architecture, normalization, and optimization techniques.</li><li>Proven experience in database restructuring or consolidation projects.</li><li>Strong skills in indexing, partitioning, and query performance tuning.</li><li>Proficiency in Python for data handling, automation, or scripting tasks.</li><li>Experience with Microsoft SQL Server and tools such as SSIS.</li><li>Exposure to Google Cloud Platform (GCP) and cloud-based database solutions.</li></ul>Job Type: Full-timeWork Location: In person <div id='job-id'>Job Id: BOSYiCb7zwxXZHV0DjxlfzRo2TVaKnKk5RTtqY6SGMZhBU1SyeeG7fqKIKF0FPf354gRnHW4YOpYCWcEuFivcFbd4Y0kTUikTnrIbIZ4PpWFXCk=</div>

ACE Money Transfer

About Us:ACE Money Transfer is a UK-based multinational company headquartered in Manchester, United Kingdom. ACE Money Transfer provides online remittance services to individuals in 28 countries across UK, Europe, Canada, and Australia enabling them to send money across border in over 100 countries.Job Overview: This role focuses on developing and implementing data warehouse solutions across the organization while managing large sets of structured and unstructured data. The Data Engineer will analyse complex customer requirements, define data transformation rules, and oversee their implementation. The ideal candidate should have a solid understanding of data acquisition, integration, and transformation, with the ability to evaluate and recommend optimal architecture and approaches.Key Responsibilities:&bull;Design Data Pipelines: Develop robust data pipelines capable of handling both structured and unstructured data effectively.&bull;Build Data Ingestion and ETL Processes: Create efficient data ingestion pipelines and ETL processes, including low-latency data acquisition and stream processing using tools like Kafka or Glue.&bull;Develop Integration Procedures: Design and implement processes to integrate data warehouse solutions into operational IT environments.&bull;Data Lake Management: Manage and optimize the data lake on AWS, ensuring efficient data storage, retrieval, and transformation. Implement best practices for organizing and managing raw, processed, and curated data, with scalability and future growth in mind.&bull;Optimize SQL and Shell Scripts: Write, optimize, and maintain complex SQL queries and shell scripts to ensure efficient data processing.&bull;Monitor and Optimize Performance: Continuously monitor system performance and recommend necessary configurations or infrastructure improvements.&bull;Document and Present Workflows: Prepare detailed documentation, collaborate with cross functional teams, present complete data workflows to teams, and maintain an up-to-date knowledge base.&bull;Governance &amp; Quality: Develop and maintain data quality checks to ensure data in the lake and warehouse remains accurate, consistent, and reliable.&bull;Collaboration with Stakeholders: Work closely with CTO, PMOs, business and data analysts to gather requirements and ensure alignment with project goals.&bull;Scope and Manage Projects: Collaborate with project managers to scope projects, create detailed work breakdown structures, and conduct risk assessments.&bull;Research &amp; Development (R&amp;D): Keep up with the latest technological trends and identify innovative solutions to address customer challenges and company priorities.Skills and Qualifications:&bull;Bachelor&rsquo;s or Master&rsquo;s degree in Engineering, Computer Science, or equivalent experience.&bull;At least 4+ years of relevant experience as a Data Engineer.&bull;Hands-on experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with respective cloud services.&bull;Hands-on experience with one or more ETL tools such as Glue, Spark, Kafka, Informatica, DataStage, Talend, Azure Data Factory (ADF).&bull;Strong understanding of dimensional modeling techniques, including Star and Snowflake schemas.&bull;Experience in creating semantic models and reporting mapping documents.&bull;Solid concepts and experience in designing and developing ETL architectures.&bull;Strong understanding of RDBMS concepts and proficiency in SQL development.&bull;Proficiency in data modeling and mapping techniques.&bull;Experience integrating data from multiple sources.&bull;Experience working in distributed environments, including clustering and sharding.&bull;Knowledge of Big Data tools like Pig, Hive or NiFi would be a plus.&bull;Experience with Hadoop distributions like Cloudera or Hortonworks would be a plus.&bull;Excellent communication and presentation skills, both verbal and written.&bull;Ability to solve problems using a creative and logical approach.&bull;Self-motivated, analytical, detail-oriented, and organized, with a commitment to excellence.&bull;Experience in the financial services sector is a plus.ACE Money Transfer Profile:https://acemoneytransfer.com/company-profileTo apply for this position, please click on the below mentioned link;https://acemoneytransfer.applytojob.com/apply/aqNA7e3kFJ/Data-Engineer?source=INDEFJob Type: Full-timeWork Location: In person <div id='job-id'>Job Id: qolZWn4QZda766K2fTISgE6V6mgoUAjjZ4yiy8JS1YFmaLg2KDpXBNv0b8NGvYJZjxFdUIH8VLkMQiy+iAj0jmujFQ5e1Hm2ce/3T6FDLGMS/kk=</div>

Explore 2478+ Data engineer in Pakistan this August. Find roles across top companies and apply now to boost your career.

2478 data engineer jobs IN Pakistan

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