data analytics engineer

MMF Infotech

Job Title: Data Analytics EngineerLocation: Indore, MP (On-site)Experience: 2&ndash;3 YearsSalary Range: ₹3L &ndash; ₹4.5L PA (Dependent on skill set)Role ObjectiveWe are looking for a Data Analytics Engineer to bridge the gap between raw data engineering and business insights. You will be responsible for transforming messy data into clean, actionable datasets, ensuring our analysts and stakeholders have &quot;one version of the truth.&quot;Key Responsibilities<ul><li>Data Modeling: Design and maintain scalable data models (Star Schema/Snowflake) using dbt (data build tool).</li><li>Pipeline Management: Build and optimize ELT/ETL pipelines from various sources (APIs, SQL databases, Cloud storage) into our Data Warehouse.</li><li>Data Quality: Implement automated testing and documentation to ensure high data integrity and reliability.</li><li>Stakeholder Collaboration: Work with Data Scientists and Business Analysts to translate complex business requirements into technical data structures.</li><li>Performance Tuning: Optimize SQL queries and warehouse performance to reduce latency and costs.</li></ul>Technical Stack &amp; Requirements<ul><li>SQL: Expert level (CTEs, Window Functions, Query Optimization).</li><li>Programming: Proficient in Python (Pandas, NumPy) for data manipulation.</li><li>Warehouse: Experience with Snowflake, BigQuery, or Redshift.</li><li>Transformation: Hands-on experience with dbt is highly preferred.</li><li>BI Tools: Familiarity with Tableau, Power BI, or Looker.</li><li>Education: B.Tech/B.E. in Computer Science, IT, or a related field.</li></ul>What We Offer<ul><li>Opportunity to work with a modern data stack (MDS).</li><li>Competitive salary in line with Indore's growing tech market.</li><li>Flexible work culture and rapid growth opportunities.</li></ul>Job Type: Full-timePay: ₹25,000.00 - ₹40,000.00 per monthBenefits:<ul><li>Flexible schedule</li><li>Provident Fund</li></ul>Work Location: In person

Data analytics engineer

Tandym Group

<div>
 
 A recognized financial services organization in Stamford, Connecticut is actively seeking a new AI Data Analytics Engineer to build and maintain data foundations that power decision-making across the firm, encompassing analytics, data engineering, and automation. Experience with AI Configuration, AI Implementation and AI Infrastructure a must.
 
 
 
 
 
 About the Opportunity:
 
 
 <ul>
 <li>
 
 Schedule:
 
 Monday to Friday
 </li>
 <li>
 
 Hours:
 
 Standard business
 </li>
 <li>
 
 Setting:
 
 Hybrid (Tuesday to Thursdays onsite)
 </li>
 </ul>
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Define and standardize key metrics, data definitions, and reporting logic
 </li>
 <li>
 Identify data gaps and recommend process improvements
 </li>
 <li>
 Build and maintain data pipelines from various systems
 </li>
 <li>
 Design and maintain analytical layers and documentation
 </li>
 <li>
 Develop and operate ETL/ELT workflows with rigorous validation
 </li>
 <li>
 Configure, fine-tune, and optimize LLMs and advanced ML models.
 </li>
 <li>
 Build and manage prompt frameworks, embeddings, and vector databases.
 </li>
 <li>
 Translate business challenges into AI-powered workflows.
 </li>
 <li>
 Work with cloud platforms (Azure, AWS, or GCP) to scale AI workloads.
 </li>
 <li>
 Improve reliability, performance, and governance of AI systems.
 </li>
 </ul>
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Proficiency with Data Warehouses and designing datasets for analytics
 </li>
 <li>
 Familiarity with SQL and experience with relational databases
 </li>
 <li>
 Experience building and maintaining ETL/ELT workflows
 </li>
 <li>
 Experience integrating data via APIs
 </li>
 <li>
 Demonstrated ability to build dashboards and visualizations
 </li>
 <li>
 Familiarity with crypto markets and on-chain analytics
 </li>
 <li>
 Experience with metric layers, semantic models, and documentation
 </li>
 </ul>
 
 
 
 
 Desired Skills:
 
 
 <ul>
 <li>
 Certification in Data Analytics and/or Engineering
 </li>
 <li>
 Advanced skills with SQL
 </li>
 </ul>
 
 
</div>

AI Data Analytics Engineer

Synaptics

<div>Description
<div>Synaptics is leading the charge in AI at the Edge, bringing AI closer to end users and transforming how we engage with intelligent connected devices, whether at home, at work, or on the move. As the go-to partner for the world&rsquo;s most forward-thinking product innovators, Synaptics powers the future with its cutting-edge Synaptics Astra&trade; AI-Native embedded compute, Veros&trade; wireless connectivity, and multimodal sensing solutions. We&rsquo;re making the digital experience smarter, faster, more intuitive, secure, and seamless. From touch, display, and biometrics to AI-driven wireless connectivity, video, vision, audio, speech, and security processing, Synaptics is the force behind the next generation of technology enhancing how we live, work, and play.</div><div>
</div><div>
Overview</div><div>
The Yield Task Force Internship is an opportunity to learn and develop your AI-Based Data Analytics Automation skills by working with Synaptics&rsquo; Yield and Product Engineering Operations Teams. Our internship is designed for individuals who are currently enrolled at an accredited college/university and who will be continuing their studies in the fall.</div><div>
</div><div>
The typical base pay range for this position is USD $27.00 - $47.50 per hour. Individual pay is determined by many factors including work location, job-related skills, experience, and relevant education or training. Note that compensation listed in US role postings reflect the base salary only.</div><div> 
</div><div>
</div><div>Responsibilities &amp; Competencies</div><div>
Job Duties</div><ul><li>
Will have the opportunity to participate in / learn about Semiconductor Product Yield Analysis workflow and its automation potential</li><li>
Work with Synaptics&rsquo; Yield and Product Engineers to become familiar with Yield Analysis workflow</li><li>
Carry out yield analysis on one or more products to reach proficiency and familiarity with the workflow</li><li>
Find one or more suitable AI Agents to automate the thus-captured yield analysis workflow</li><li>
Implement workflow automation in the AI Agents of choice and verify its work products</li></ul><div>
</div><div>
Competencies</div><ul><li>
Well organized with strong attention to detail; proactively ensures work is accurate</li><li>
Self-motivated and aptitude to learn quickly</li><li>
Positive attitude and work ethic; unafraid to ask questions and explore new ideas
</li><li>Excellent verbal and written communication skills; strong sense of professionalism</li></ul><div>
</div><div>
Qualifications (Requirements)</div><ul><li>
Candidates should be seeking a Bachelor&rsquo;s or Advanced degree in Computer Science, Electrical Engineering, or Physics or related field or equivalent</li><li>
Working knowledge of Generative AI Tools such as ChatGPT and Anthropic Claude Sonnet</li><li>
Familiarity with Coding involving AI Integration</li><li>
Familiarity with &ldquo;Computer Use&rdquo; Automation involving AI to simulate human users&rsquo; interaction with PC- and Web-Based Applications</li><li>
Familiarity with Big Data Analysis Tools such as JMP, SaS, R, Tibco Spotfire, and Tableau.</li><li>
Familiarity with scripting involving Microsoft Excel, PowerPoint, and Word</li><li>
Able to work independently at times and dedicate a minimum of 20 hours/week</li><li>
Must be legally authorized to work in the United States without restriction</li><li>
Must be willing to submit to a background investigation, including verification of your employment and criminal history</li><li>
Must be 18 years of age or older</li></ul><div>
</div><div>
Belief in Diversity 
Synaptics is an Equal Opportunity Employer committed to workforce diversity. Qualified applicants will receive consideration without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information.</div></div>

Intern, AI-Based Data Analytics Automation Engineer

EPIROC

<div></div><div>Analytics Engineer

Are you passionate about transforming data into actionable insights and building analytics solutions that drive measurable business value? Join a global mining company that is reimagining how natural resources are explored, extracted, and managed&mdash;by leveraging the power of data and advanced analytics

We&rsquo;re looking for an Analytics Engineer to join our collaborative and supportive Global Analytics Engineering Team in the AI and Data Hub. You&rsquo;ll partner with experienced professionals across disciplines, design and optimize data models, ensure reliable data pipelines, and contribute to a modern analytics platform that empowers decision-making across the business.
Your mission

As an Analytics Engineer, you will design, build, and optimize data pipelines and analytics solutions that enable trusted, high-quality insights across the organization. You&rsquo;ll collaborate with cross-functional teams to translate complex business needs into scalable data models, transformations, and reporting solutions.

You&rsquo;ll play a key role in driving modern analytics practices&mdash;leveraging Databricks for data engineering, transformation, and performance optimization, promoting best practices in data modeling, SQL development, and data governance, and mentoring junior colleagues when needed.

You&rsquo;ll work hands-on with our Azure-based infrastructure and Databricks environment, applying strong knowledge of Python, SQL, and modern data tools to transform, validate, and deliver data for analytics and reporting. You&rsquo;ll also contribute to our DevOps workflows using Azure DevOps, including code reviews, testing, versioning, and deployment processes.

You will continuously learn and apply best practices in analytics engineering, modern data stack technologies, and data workflow management, while also contributing to group evaluations and assessments that shape our Analytics Engineering strategy and roadmap.

Key Responsibilities:
<ul>
<li>Develop and optimize in technical landscape, i.e. as Databricks, Python frameworks and DAX.</li>
<li>Enhance existing self-service models to support operational needs.</li>
<li>Implement scalable solutions for data processing, reporting, and analytics.</li>
<li>Work closely with the roadmap owner to execute initiatives according to the pipeline.</li>
<li>Ensure data quality, governance, and performance of analytics tools.</li>
<li>Support project delivery by providing technical input for timelines, dependencies, and resource planning.</li>
</ul>Your profile
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree (or equivalent experience) in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related field.</li>
<li>6+ years of hands-on experience in Data Analytics, Data Science, or AI-related IT roles</li>
<li>Expert coding skills in Python and SQL, with proven track record in large-scale data wrangling, model development workflows, and automation</li>
<li>Practical experience designing and deploying machine learning models into production (supervised/unsupervised, feature engineering, model evaluation, MLOps).</li>
<li>Familiarity or basic knowledge of Jobs and Pipelines in MS Fabrics, and ability to architect scalable and automated workflows.</li>
<li>Solid understanding of Azure cloud computing, DevOps practices, and CI/CD pipelines.</li>
<li>Experience working with version control systems and collaboration tools (Azure DevOps, Git).</li>
<li>Strong communication and leadership skills, with ability to mentor junior developers and present technical solutions to business stakeholders.</li>
<li>Passion for driving innovation and creating AI-powered data solutions that go beyond traditional reporting.</li>
</ul><ul><li>Strong problem-solving and technical design skills.</li>
<li>Ability to collaborate with business leaders and translate requirements into solutions.</li>
<li>Familiarity with Supply Chain data structures and operational reporting needs.</li>
<li>Basic project management awareness for technical execution and coordination.</li>
</ul><div>
<div><div><div><div>It all starts with people. The world needs metals and minerals for the energy transition and our cities and infrastructure must be developed to serve a growing population. To succeed, we need to speed up the shift towards more sustainable mining and construction industries. We at Epiroc accelerate this transformation, together with customers and business partners in more than 150 countries, by developing and providing innovative and safe equipment, digital solutions, and aftermarket support.</div>
<div>All new thinkers are welcome. We are looking for those who want to develop, grow, and dare to think new. In Epiroc we attract, develop, and retain diverse talent valuing authenticity and unique perspectives, driving our spirit of innovation. We foster an inclusive culture where diversity isn't just a goal but a part of our values and way of working. This is how we do business for a sustainable future. Learn more at www.epiroc.com</div></div></div></div></div></div><div></div>

Sr Analytics Engineer

Invosol

Job Title: Data Engineer Location: Johar Town, Lahore Job Type: Full-timeJob Summary:InvoSol are looking for a skilled and motivated Data Engineer to join our growing team. The ideal candidate will be responsible for building, optimizing, and maintaining scalable data pipelines and ETL processes to support business intelligence and analytics initiatives. This role requires strong technical skills in SQL and Python, along with a passion for solving complex data challenges.Key Responsibilities:<ul><li>Design and implement scalable data pipelines and ETL processes to support business intelligence and analytics initiatives.</li><li>Develop and maintain efficient SQL queries and Python scripts for data extraction, transformation, and loading.</li><li>Architect data flow solutions and system designs that ensure optimal performance and reliability.</li><li>Collaborate with cross-functional teams to understand data requirements and deliver solutions that drive business value.</li><li>Monitor, troubleshoot, and optimize existing data infrastructure to maintain high data quality and system performance.</li></ul>Required Qualifications:<ul><li>1 to 2 years of hands-on experience in data engineering with strong proficiency in SQL and Python.</li><li>Strong expertise in core SQL concepts including CTEs, window functions, CDC (Change Data Capture), and query optimization.</li><li>Proficiency in Python with hands-on experience in pandas, dataframes, and data manipulation libraries.</li><li>Deep understanding of data flow architectures and ETL best practices.</li><li>Experience with Snowflake, Microsoft Azure, Databricks, or similar cloud data platforms is a strong plus.</li><li>Excellent problem-solving and analytical skills with attention to detail.</li><li>Strong communication skills and ability to work in a collaborative team environment.</li></ul>What We Offer:<ul><li>Competitive salary package</li><li>Professional working environment</li><li>Growth and learning opportunities</li><li>Collaborative team culture</li></ul>How to Apply: Interested candidates can apply directly through Indeed by submitting their updated CV.Job Type: Full-timeWork Location: In person

Data Engineer

Binary Brix 

Job Title: Data Engineer Experience: 3&ndash;5 Years Company: Symufolk Location: Onsite &ndash; Lahore Job Type: Full-TimeJob OverviewSymufolk is seeking a skilled Data Engineer to join our Data &amp; Analytics team. The role focuses on building scalable, secure, and high-performance data solutions on Azure while working closely with cross-functional teams in an Agile environment.Key Responsibilities<ul><li>Design and develop end-to-end data pipelines and API integrations</li><li>Translate business requirements into technical data solutions</li><li>Build and maintain data models and standards</li><li>Support Data Governance (Data Catalog, Business Glossary, Data Dictionary)</li><li>Collaborate with Platform Architects and engineering teams</li><li>Ensure data quality, performance, and security</li></ul>Must-Have Qualifications<ul><li>3&ndash;5 years of experience in Azure data platforms</li><li>Strong hands-on with ADF / Synapse, Azure SQL, Spark, and Delta tables</li><li>Experience with REST APIs and databases (Cosmos DB is a plus)</li><li>Solid understanding of DML and CI/CD pipelines</li><li>Excellent English communication and analytical skills</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs250,000.00 per monthWork Location: In person

Datamatics Technologies

<div>
 
 
 
 3 Months Contractual Role
 
 
 
 
 
 Job Title:
 
 Power BI Developer / BI Engineer
 
 
 Location:
 
 Riyadh (Onsite)
 
 
 Contract Duration:
 
 3 Months (Contractual)
 
 
 Experience Required:
 
 6&ndash;8 Years
 
 Job Overview
 
 We are looking for an experienced
 
 Power BI Developer / BI Engineer
 
 to support a short-term project involving the setup of enterprise BI infrastructure and development of business dashboards. The ideal candidate will have strong hands-on experience with
 
 Power BI Enterprise Server
 
 ,
 
 Microsoft SQL Server
 
 , and building scalable BI reporting solutions in an on-premises environment.
 
 Key Responsibilities
 <ul>
 <li>
 
 Install, configure, and manage
 
 Power BI Report Server / Enterprise Server
 
 in an on-premises environment.
 
 </li>
 <li>
 
 Install, configure, and optimize
 
 Microsoft SQL Server
 
 for reporting and analytics workloads.
 
 </li>
 <li>
 
 Design, develop, and deploy interactive
 
 Power BI dashboards and reports
 
 based on business requirements.
 
 </li>
 <li>
 
 Develop data models, DAX calculations, and optimized queries for performance.
 
 </li>
 <li>
 
 Integrate data from multiple sources including SQL databases and enterprise systems.
 
 </li>
 <li>
 
 Ensure data accuracy, security, and governance within BI solutions.
 
 </li>
 <li>
 
 Work closely with business stakeholders to translate requirements into analytical dashboards.
 
 </li>
 <li>
 
 Troubleshoot performance issues and optimize reports and datasets.
 
 </li>
 <li>
 
 Document architecture, data models, and reporting processes.
 
 </li>
 </ul>
 Required Skills &amp; Experience
 <ul>
 <li>
 
 6&ndash;8 years of experience in
 
 Business Intelligence / Data Analytics
 
 .
 
 </li>
 <li>
 
 Strong hands-on experience with
 
 Power BI Report Server (On-Prem)
 
 .
 
 </li>
 <li>
 
 Solid expertise in
 
 Microsoft SQL Server
 
 , including performance tuning.
 
 </li>
 <li>
 
 Experience in
 
 data modeling, DAX, and Power Query
 
 .
 
 </li>
 <li>
 
 Ability to design visually compelling dashboards and reports.
 
 </li>
 <li>
 
 Experience with ETL processes and data integration.
 
 </li>
 <li>
 
 Strong analytical and problem-solving skills.
 
 </li>
 <li>
 
 Ability to work independently in a fast-paced project environment.
 
 </li>
 </ul>
 Preferred Qualifications
 <ul>
 <li>
 
 Experience implementing
 
 enterprise BI environments
 
 .
 
 </li>
 <li>
 
 Knowledge of
 
 data warehouse concepts
 
 .
 
 </li>
 <li>
 
 Microsoft BI or Power BI related certifications are a plus.
 
 </li>
 <li>
 
 Experience working on projects in the Middle East region is advantageous.
 
 </li>
 </ul>
 Engagement Details
 <ul>
 <li>
 
 
 Contract:
 
 3 Months (Possible Extension)
 
 </li>
 <li>
 
 
 Location:
 
 Onsite in Riyadh
 
 </li>
 <li>
 
 
 Start Date:
 
 Immediate / Short Notice Preferred
 
 </li>
 </ul>
</div>

Power BI Developer

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