Data Engineering Manager ETL Tools

Job description

<p><p><b>Description :</b></p><br/><p><b>Company Overview :</b></p><br/><p>Cloud Destinations is a Silicon Valley-headquartered, well-established technology organization focused on digital transformation, enterprise application development, infrastructure projects, and professional services related to Large Scale Cloud Migrations, Multi-Cloud Operations (AWS, Azure, Google Cloud, VMware, Rack Space, etc.), Dev Ops, RNOC, Security Operations, Datacenter, UC Collaboration, and IoT.

</p><p><br/></p><p>We pride ourselves on deep domain skills in retail, health care, financial, travel, and high technology.

We have a strong technical and leadership team, with offices located globally.

We believe our successes come from our teamwork and mutual respect for each others talents and unique perspectives.</p><br/><p><b>Role :</b> Manager Data Engineering</p><br/><p><b>Location :</b> Coimbatore / Chennai -Work From Office (5 days)</p><br/><p><b>Experience :</b> 14+ Years</p><br/><p><b>Notice Period :</b> Immediate to 15 Days</p><br/><p>We are looking for a highly skilled Data Engineering Manager to lead and grow our data engineering team, driving the design, development, and maintenance of scalable data pipelines and architecture.

</p><p><br/></p><p>In this role, you will work closely with cross-functional teams, including data science, analytics, software engineering, and business stakeholders, to ensure the delivery of high-quality data solutions that support business objectives.

</p><p><br/></p><p>If you're passionate about data, cloud technologies, and leading high-performing teams, wed love to hear from you!</p><br/><p>- Team Leadership : Lead, mentor, and manage a team of data engineers, ensuring effective collaboration, professional growth, and high-quality output.</p><br/><p>- Data Architecture : Design, build, and maintain robust data pipelines and architectures that efficiently support data-driven processes and systems.</p><br/><p>- Data Strategy : Develop and execute data engineering strategies in alignment with business goals and evolving data needs.</p><br/><p>- Data Integration : Oversee the integration of data from various sources, including third-party APIs, databases, and streaming platforms.</p><br/><p>- Optimization & Maintenance : Ensure high performance, scalability, and reliability of data processing systems, continuously optimizing workflows and improving data quality.</p><br/><p>- Collaboration : Work closely with data scientists, analysts, and business stakeholders to understand their data needs and deliver solutions accordingly.</p><br/><p>- Cloud Technologies : Oversee the adoption and integration of cloud-based solutions (AWS, Azure, Google Cloud) to manage and process large-scale datasets efficiently.</p><br/><p>- Governance & Security : Implement and maintain best practices for data governance, data privacy, and security in line with industry standards and regulations.</p><br/><p>- Stakeholder Communication : Regularly communicate progress, challenges, and outcomes to stakeholders across the organization, providing insights and solutions as needed.</p><br/><p>- Project Management : Plan, prioritize, and oversee data engineering projects, ensuring timely delivery of solutions that meet both business and technical Expertise :</b></p><br/><p>- Strong proficiency in programming languages such as Python, Java, or Scala.</p><br/><p>- Experience with data processing frameworks like Apache Spark, Kafka, Hadoop, or similar technologies.</p><br/><p>- Hands-on experience with ETL tools and techniques, including workflow orchestration (e.g., Airflow, Luigi).</p><br/><p>- Strong SQL skills and familiarity with NoSQL databases (e.g., MongoDB, Cassandra).</p><br/><p>- Proven experience with cloud platforms (AWS, Google Cloud, Azure) and related data storage solutions (S3, Redshift, BigQuery, etc.).</p><br/><p>- Leadership : Proven experience leading and mentoring data engineering teams, fostering a culture of continuous learning and collaboration.</p><br/><p>- Data Architecture : Expertise in designing scalable and eHicient data architectures, pipelines, and workflows.</p><br/><p>- Problem Solving : Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.</p><br/><p>- Communication : Excellent communication skills, capable of collaborating with both technical and non-technical stakeholders.</p><br/><p>- Project Management : Experience managing multiple projects and deadlines in a fast-paced environment.</p><br/><p>- Familiarity with machine learning pipelines and big data platforms.</p><br/><p>- Certification in cloud platforms (AWS Certified Data Analytics, Google Cloud, Professional Data Engineer, etc.).</p><br/><p>- Knowledge of data governance, compliance, and security best practices (e.g., GDPR, CCPA).</p><br/><p><b>Benefits :</b></p><br/><p><b>Why Join Us :</b></p><br/><p>- Innovative Environment : Work with cutting-edge technologies and shape the future of data engineering.</p><br/><p>- Growth Opportunities : Join a fast-growing team with ample opportunities for professional development and career advancement.</p><br/><p>- Collaborative Culture : Work alongside talented individuals in a culture that values teamwork, innovation, and transparency.</p><br/><p>- Impact : Be part of impactful projects where your contributions will directly influence the success of the business.

</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Operations Specialties Managers