data engineering specialist

Takamol Holding

<div>
 
 Job Description
 
 
 
 Design, build, and manage scalable data pipelines to collect, transform, and store data from various internal and external sources.
 
 
 Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
 
 
 Ensure Data integrity, accuracy, and availability across all systems and platforms.
 
 
 Optimize data infrastructure for performance, reliability, and cost-efficiency.
 
 
 Develop and maintain processes using modern data tools and platforms.
 
 
 Implement data governance, security, and privacy best practices in compliance with regulatory requirements.
 
 
 Monitor, troubleshoot, and improve data workflows and performance issues.
 
 
 Document data architecture, data flows, and technical processes.
 
 
 Support the development of data models and analytical datasets for reporting and AI/ML use cases.
 
 
 
 Job Requirements
 
 
 
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Engineering, or a related field.
 
 
 2&ndash;5 years of experience in data engineering, data warehousing, or similar roles.
 
 
 Strong problem-solving and communication skills.
 
 
 Analytical Thinking
 
 
 Leadership
 
 
 Teamwork and Time Management
</div>

Data Engineering Specialist

Infosys

<div>
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 4+ years of total experience, with 3+ years in data engineering and business intelligence.
 </li>
 <li>
 4+ years of hands-on experience in Python and other open-source data engineering tools.
 </li>
 <li>
 Strong expertise in data engineering, data handling, and statistical programming using modern IT tools.
 </li>
 <li>
 Understanding of Data Warehousing, Business Intelligence, and ETL processes.
 </li>
 <li>
 Proficiency and experience with Apache Spark and Big Data technologies (e.g., Hadoop, Hive).
 </li>
 <li>
 Proven experience in Agile methodologies, including iterative development and sprint planning.
 </li>
 <li>
 Experience working in highly regulated environments, ensuring data governance and compliance.
 </li>
 <li>
 Familiarity with release governance processes and incident management tools (e.g., ServiceNow, JIRA).
 </li>
 <li>
 Exposure to cloud platforms (AWS, Azure, GCP). Key Responsibilities
 </li>
 <li>
 Lead end-to-end data engineering and reporting engagements, from requirement gathering to solution development.
 </li>
 <li>
 Design and implement scalable data pipelines, data model, and process frameworks.
 </li>
 <li>
 Collaborate with stakeholders, providing domain and technical thought.
 </li>
 <li>
 Perform Fit/Gap analysis and translate business needs into actionable data solutions.
 </li>
 <li>
 Develop interactive dashboards and reports using visualization tools or Python-based libraries.
 </li>
 <li>
 Ensure data quality, governance, and compliance across reporting solutions.
 </li>
 <li>
 Conduct performance tuning and optimization of data workflows and visualizations.
 </li>
 <li>
 Ensure compliance with release governance and manage incidents using industry-standard tools.
 </li>
 <li>
 Contribute to Unit/Organizational initiatives, including Centers of Excellence (COEs) and innovation programs.
 </li>
 </ul>
</div>

Data Engineer

ieng Group

<div>
 
 The Company&rsquo;s Equal Opportunities policy applies equally to the recruitment process and must be complied with at every stage of the recruitment process. This means that prospective applicants should not be discriminated against either directly or indirectly on the grounds of race, nationality, ethnic origin, gender, marital status, sexual orientation, cultural or religious beliefs, disability and age. In addition, candidates should not be discriminated against based on pregnancy. Preparation of job descriptions, person specifications, advertisements, short-listing, interviewing and selection of applicants should reflect a commitment to achieving and maintaining equal opportunities within the workplace. Interviewers should only ask job-related questions.
 
 
 
 
 
 Role and Responsibilities:
 
 
 
 
 
 1. Programming and Scripting: Utilize programming languages such as Python, R, and Java to develop scripts for data processing tasks.
 
 
 
 
 
 2. Database Management: Work with various database systems including SQL and NoSQL databases for storing and managing data effectively.
 
 
 
 
 
 3. Container Management: Experience with container management frameworks like Docker, Kubernetes, and ECR to deploy and manage data processing applications efficiently.
 
 
 
 
 
 4. Data Processing Technologies: Proficiency in scalable and distributed data processing technologies/frameworks such as Spark/PySpark, DBT, Kafka, and Hadoop to handle large volumes of data effectively.
 
 
 
 
 
 5. SQL Skills: Strong SQL skills across a variety of relational data warehousing technologies, especially in cloud data warehousing platforms such as Amazon Redshift, Google BigQuery, and Snowflake.
 
 
 
 
 
 6. Software Development Lifecycle (SDLC): Understanding of SDLC, particularly Agile methodologies, to ensure efficient project delivery.
 
 
 
 
 
 7. Big Data Principles: Thorough understanding of big data principles, techniques, and best practices.
 
 
 
 
 
 8. Data Pipeline Architecture: Design and develop scalable, reliable, and efficient data pipelines for collecting, ingesting, and processing diverse data from multiple sources.
 
 
 
 
 
 9. Data Modeling and Warehousing: Create and optimize data models to enable seamless integration of data from various sources into centralized data warehouses or data lakes.
 
 
 
 
 
 10. Data Governance and Security: Establish data governance frameworks and implement robust data security measures to ensure compliance with privacy regulations and protect sensitive information.
 
 
 
 
 
 11. Performance Optimization: Continuously monitor and fine-tune data platform performance to meet SLAs and optimize resource utilization.
 
 
 
 
 
 12. Technology Evaluation: Stay updated with industry trends, emerging technologies, and best practices in data engineering. Assess and recommend new tools and frameworks to improve data processing capabilities.
 
 
 
 
 
 13. Cross-Functional Collaboration: Collaborate with data analysts, data scientists, and software engineers to understand their data requirements, offer data engineering support, and contribute to the development of data-driven products and solutions.
 
 
 
 
 
 14. Data Quality and Monitoring: Implement robust data quality checks and monitoring systems to ensure the accuracy, consistency, and reliability of data.
 
 
 
 
 
 15. Automation and Fault Tolerance: Possess an &ldquo;automation-first&rdquo; mindset when building solutions, incorporating self-healing and fault-tolerant methods to minimize manual intervention and downtime.
 
 
 
 
 
 16. Documentation and Knowledge Sharing: Create and maintain comprehensive documentation of data engineering processes, best practices, and technical standards. Facilitate knowledge sharing sessions with the broader team.
 
 
 
 
 
 Qualifications Requirements:
 
 
 
 
 
 - 3 years of experience in data engineering or a related field.
 
 
 - Strong proficiency in programming languages such as Python, R, and Java.
 
 
 - Experience with database management systems, including SQL and NoSQL databases.
 
 
 - Familiarity with container management frameworks like Docker, Kubernetes, and ECR.
 
 
 - Experience with scalable and distributed data processing technologies/frameworks such as Spark/PySpark, DBT, Kafka, and Hadoop.
 
 
 - Solid understanding of big data principles, techniques, and best practices.
 
 
 - Experience with cloud data technology stacks such as Azure, AWS, or GCP is preferred.
 
 
 - Excellent communication and collaboration skills.
 
 
 - Ability to work effectively in a fast-paced, dynamic environment.
 
 
 
 
 
 Education Requirements:
 
 
 - Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 
 
 Advanced degree preferred.
 
 
 
</div>

Alpha Beta Partners Ltd (UK based company)

Established in 1989, Metropolitan Warehouse &amp; Delivery (MWD) is a leading provider of premier White Glove furniture delivery services in the USA. With operations in 44 cities across the USA and a dedicated team of over 1,200 professionals, MWD specializes in ECommerce furniture delivery, warehousing, and comprehensive white-glove delivery solutions.Job Specifications<ul><li>Time: 5:00 PM - 2:00 AM</li><li>Location: Plaza 145, Civic Center, Phase IV, Bharia Town, Rawalpindi</li><li>Job Type: Onsite &ndash; Full Time</li><li>Education: Bachelor&rsquo;s Computer Science , Data Engineering</li><li>Experience: 2+ Year in Data Engineering ( Minimum )</li><li>Skill Set: Python (Pandas, NumPy, Polaris), SQL</li></ul>&middot; Preferred: Power Automate, Power Query and Spark *Job Description&middot; Automate the flow of data using Power Automate and Data Pipeline in python;&middot; Have knowledge of data warehousing and data modeling;&middot; Extract, transform, and load data using SQL, Python and UI based tools;&middot; Document, monitor, and maintain the work done;&middot; Collaborate with other IT professionals;&middot; Bring new ideas to the table to further enhance the management of data.Benifits<ul><li>Market Competetive Salaries</li><li>Promotions &amp; Yearly increments (Based on Performance)</li><li>EOBI &amp; Gratuity</li><li>2 Yearly Bonuses</li><li>Medical Insurance (Employee, Spouce &amp; Children)</li><li>Life Insurance</li><li>Employee Health Care Program (Gym, Kitchen/Mess Services, Inhouse doctor)</li><li>Employee Social Activity Program (Tours, Office Celebrations, Team collaboration</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs180,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Engineering: 2 years (Required)</li></ul>Location:<ul><li>Rawalpindi (Required)</li></ul>Work Location: In person

Data Automation Engineer

Boston Consulting Group

Locations: Bengaluru | Gurgaon
 
Who We Are
 
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 
What You'll Do
 
As a part of BCG's X team, you will work closely with consulting teams on a diverse range of advanced analytics and engineering topics. You will have the opportunity to leverage analytical methodologies to deliver value to BCG's Consulting (case) teams and Practice Areas (domain) through providing analytical and engineering subject matter expertise.As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data pipelines, systems, and solutions that empower our clients to make informed business decisions. You will collaborate closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to deliver high-quality data solutions that meet our clients' needs.
 
YOU'RE GOOD AT
 
Delivering original analysis and insights to case teams, typically owning all or part of an analytics module whilst integrating with a case team. Design, develop, and maintain efficient and robust data pipelines for extracting, transforming, and loading data from various sources to data warehouses, data lakes, and other storage solutions.
 Building data-intensive solutions that are highly available, scalable, reliable, secure, and cost-effective using programming languages like Python and PySpark.
 Deep knowledge of Big Data querying and analysis tools, such as PySpark, Hive, Snowflake and Databricks.
 Broad expertise in at least one Cloud platform like AWS/GCP/Azure.* Working knowledge of automation and deployment tools such as Airflow, Jenkins, GitHub Actions, etc., as well as infrastructure-as-code technologies like Terraform and CloudFormation.
 Good understanding of DevOps, CI/CD pipelines, orchestration, and containerization tools like Docker and Kubernetes.
 Basic understanding on Machine Learning methodologies and pipelines.
 Communicating analytical insights through sophisticated synthesis and packaging of results (including PPT slides and charts) with consultants, collecting, synthesizing, analyzing case team learning & inputs into new best practices and methodologies.
 
Communication Skills: 
Strong communication skills, enabling effective collaboration with both technical and non-technical team members.
 
Thinking Analytically
 
You should be strong in analytical solutioning with hands on experience in advanced analytics delivery, through the entire life cycle of analytics. Strong analytics skills with the ability to develop and codify knowledge and provide analytical advice where required.
 
What You'll Bring
 
Bachelor's / Master's degree in computer science engineering/technology
 At least 2-4 years within relevant domain of Data Engineering across industries and work experience providing analytics solutions in a commercial setting.
 Consulting experience will be considered a plus.
 Proficient understanding of distributed computing principles including management of Spark clusters, with all included services - various implementations of Spark preferred.
 Basic hands-on experience with Data engineering tasks like productizing data pipelines, building CI/CD pipeline, code orchestration using tools like Airflow, DevOps etc.Good to have: -
 Software engineering concepts and best practices, like API design and development, testing frameworks, packaging etc.
 Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
 Knowledge on web development technologies.
 Understanding of different stages of machine learning system design and development
 
Who You'll Work With
 
You will work with the case team and/or client technical POCs and border X team.
 
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 BCG is an E - Verify Employer. Click here for more information on E-Verify.

Data Engineer - X Delivery

<div>Line of Service
Advisory
Industry/Sector
Technology
Specialism
Advisory - Other
Management Level
Senior Associate
Job Description &amp; Summary
As a Senior Associate in the Data Engineering team, you will play a key role in designing, building, and optimizing modern data platforms and pipelines on Azure and Databricks. You will work within cross-functional teams to deliver scalable, secure, and high-performing data solutions that enable advanced analytics, AI, and business insights for enterprise clients.
 
This role requires a strong understanding of cloud data architecture, hands-on experience with Azure data services (including Microsoft Fabric), and deep practical knowledge of Databricks for batch and data engineering.
Key Responsibilities
<ul><li>Design, develop, and maintain end-to-end data pipelines across structured, semi-structured, and unstructured data sources.
</li><li>Implement data ingestion, transformation, and orchestration frameworks leveraging Azure Data Factory, Synapse, and/or Microsoft Fabric Data Pipelines.
</li><li>Develop and optimize ETL/ELT processes using Databricks (PySpark, SQL, Delta Lake) to ensure high performance and scalability.
</li><li>Implement and enforce data quality, lineage, and governance practices.
</li><li>Work closely with solution architects to design modern data architectures and ensure compliance with security and privacy standards.
</li>Participate in client workshops and technical discussions to translate business needs into technical designs. 
<li>
</li></ul> 
Required Skills &amp; Experience
<ul><li>3&ndash;6 years of experience in data engineering, preferably in a consulting or enterprise environment.
</li><li>Strong hands-on experience with:
<ul><li>Azure Data Platform: Data Factory, Synapse Analytics, Azure Data Lake Storage, Microsoft Fabric, Event Hub/IoT Hub, and Azure Functions.
</li><li>Databricks: PySpark, Spark SQL, Delta Lake, Unity Catalog, and Databricks Workflows.
</li></ul></li><li>Proficiency in Python and SQL for large-scale data processing and transformation.
</li><li>Solid understanding of data modeling, medallion architecture, and lakehouse principles.
</li><li>Familiarity with CI/CD pipelines, DevOps, and version control (e.g., Git, Azure DevOps).
</li><li>Knowledge of data governance, lineage, and observability tools.
</li><li>Experience with performance optimization, cost control, and best practices in cloud environments.
</li></ul>Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date</div>

ETIC, Azure and Databricks Data Engineer, Senior Associate

Evolus

<div>Evolus (NASDAQ: EOLS) is a performance beauty company with a customer-centric approach focused on delivering breakthrough products. We are seeking an experienced and driven
 
Data Engineer to join our Information Technology team reporting to the Executive Director, Data Engineering. We are looking for an enthusiastic person with strong data engineering and analytical skills to join our team and support data and analytics initiatives across Evolus's global business functions. The Data Engineer&rsquo;s role is to integrate data from a variety of internal and external sources into a common warehouse data model. This is a technical role that involves building and maintaining ELT data pipelines, recommend and implement appropriate data models and be comfortable in a DataOps environment. We are looking for someone with a consultative mindset to be able to interact with business and analytics team and help drive value to business. Data ecosystem is an evolving space, and we expect and encourage innovation and thought leadership.
If you join our team, you will be working on some of the most exciting opportunities and challenges we face, with a team that values growth, recognition, and camaraderie. If you are looking for an opportunity to exhibit your knowledge and technical abilities in a unique environment, then look no further! In this role, you will be challenged to drive the success of Evolus in an effort to build a brand like no other.<div> 
</div><div>
Essential duties and responsibilities where you'll make the biggest impact&hellip;</div><ul><li>
Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models</li><li>
Design, develop Snowflake data warehouse using dbt or any other ELT tool to extend the Enterprise Dimensional Model</li><li>
Contribute to planning and prioritization discussion</li><li>
Break down and architect the most complex data engineering problems to deliver insights that meets and ideally exceeds business needs</li><li>
Own and deliver solutions - from ingestion of sources to data products for end user consumption, from conceptual iteration to production support</li><li>
Deliver and ensure sustained performance of all data engineering pipelines and remediate where required</li><li>
Own source code management, documentation (technical and end user), and release planning for data engineering products; lean-in to DataOps, DevOps, and CI/CD to deliver reliable, tested, and scalable functionality through automation</li><li>
Identify and proactively manage risks to the data engineering platform</li><li>
Office location &ndash; Newport Beach. Hybrid schedule: Monday and Friday remote; Tuesday - Thursday onsite</li><li>
Other duties as assigned</li></ul><div>
Qualifications and Skills You&rsquo;ll Bring to the Team&hellip;</div><ul><li>
Bachelor&rsquo;s degree required</li><li>
6+ years of experience in enterprise data solutions
</li><li>4+ years in cloud-based data warehousing with strong SQL experience
</li><li>Experience building data pipelines using python and data orchestration tools like Apache Airflow
</li><li>Data extraction/transformation/orchestration tools such as Fivetran, dbt, Dataform, Airflow, Prefect, Kafka, Stitch and Matillion
</li><li>Deep understanding of data analysis, data modeling for visualization, and reporting
</li><li>Experience in DataOps and git or AzureDevOps and CI/CD pipelines
</li><li>Demonstrated experience with one or more of the following business subject areas: healthcare, marketing, finance, sales, product, customer success or engineering
</li><li>Experience performing root cause analysis for production issues and identify opportunities for improvement
</li><li>Passionate about writing clean, documented, and well-formed code and perform code reviews
</li><li>Keen attention to detail in planning, organization, and execution of tasks, while still seeing the big picture and understanding how all the pieces fit together and affect one another</li><li>
Excellent communication and interpersonal skills</li></ul><div> 

Preferred Qualifications&hellip;</div><ul><li>
Snowflake preferred</li></ul><div>
Compensation &amp; Total Rewards</div><div>
This is an Exempt position. The expected pay range for this position is $114,000 to $142,000. You are eligible for an annual bonus compensation plan, terms and conditions apply. Your actual base salary will be determined on a case-by-case basis and may vary based on a number of considerations including but not limited to role-relevant knowledge and skills, experience, education, geographic location, certifications, and more.</div><div>
</div><div>
We offer more than just a paycheck, and your base salary is just the start! Stay happy and healthy with our competitive suite of medical, dental and vision benefits to help you feel your best and be your best. We also provide those benefits you shouldn&rsquo;t have to worry about, from employer covered life insurance to short-term disability. Take advantage of the 401k match offered by Evolus and let us invest in your future. You may also be eligible for new hire equity and long-term incentives in the form of RSUs, stock options, and/or discretionary bonuses. We offer mental health and wellbeing resources for you to develop skills to find your calm, boost your confidence, and show up as your best self in work and life. Travel or relax and come back feeling refreshed with our flexible paid time off program for exempt employees and a paid time off accrual plan for non-exempt employees. Did we mention the holiday soft closure between the Christmas and New Years holidays? We have that, too. Additional perks include regularly catered team meals at our Evolus Headquarters, a fully stocked kitchen (Kombucha &amp; Coffee included), and the opportunity to join an organization where our values of Grit, Impact, Fun, and Transparency are displayed daily.</div><div>
</div><div>
Evolus takes pride in being a company on the forefront of innovation, while being committed to conducting its business with the highest degrees of integrity, professionalism, and social responsibility. We are also committed to complying with all laws and regulations that apply to our business. Employee welfare is no different. Here at Evolus, we don&rsquo;t just work together, we&rsquo;ve built a culture of inclusion! Because of this, you&rsquo;ll find yourself immersed in an environment that not only promotes respect, collaboration and team building, but a community too. And that&rsquo;s just the tip of the iceberg. Join our team and see for yourself! EOE M/F/D/V. For more information, please visit our website at www.evolus.com or reach out to careers@evolus.com.</div> 
#LI-PB1 #LI-HYBRID</div>

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