<p><p><b>Company Description :</b></p><p><p><b><br/></b></p>Optimum Data Analytics is a strategic technology partner delivering reliable turn key AI solutions.
Our streamlined approach to development ensures high-quality results and client satisfaction.
We bring experience and clarity to organizations, powering every human decision with analytics & AI.<br/><br/></p><p>Our team consists of statisticians, computer science engineers, data scientists, and product managers.
With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization.
Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter.<br/>We provide best-in-class services that increase profit for businesses and deliver improved value for customers, helping businesses grow, transform, and achieve their Details : </b></p><p><br/></p>Position : Data Engineer<br/><br/></p><p>Experience : 3 - 7 years<br/><br/></p><p>Work Mode : Remote<br/><br/></p><p>Shift : 3 pm - 12 Skills & Qualifications :</b></p><p><br/></p><p>- 3 - 7 years of experience as a Data Engineer (or similar role).</p><p><br/></p>- Strong hands-on experience with AWS services (S3, Lambda, Glue, Step Functions, EMR, Redshift, or equivalent).<br/><br/></p><p>- Expertise in Python for data engineering (pandas, PySpark, custom framework building).<br/><br/></p><p>- Solid understanding of batch data processing pipelines.<br/><br/></p><p>- Experience with SQL and working with relational databases.<br/><br/></p><p>- Strong problem-solving skills with the ability to create custom implementations from scratch.<br/><br/></p><p>- Familiarity with data modeling, schema design, and data quality practices.</p><p><br/></p><p>- Good communication and documentation skills.</p><p><br/></p><p>Nice to Have :</p><p><br/></p><p>- Experience with streaming data pipelines (e.g., Kinesis, Kafka).</p><p><br/></p><p>- Knowledge of data warehousing concepts.<br/><br/></p><p>- Exposure to BI tools (e.g., Power BI, Tableau, QuickSight) for insight consumption.</p><p><br/></p><p>- Familiarity with DevOps practices (CI/CD for data pipelines).</p><br/></p> (ref:hirist.tech)