Sr.Data Engineer-3-8Yrs-PAN INDIA

Sr. Data Engineer-3-8Yrs-PAN INDIA Summary Are you ready to elevate your career as a Sr. Data Engineer with an opportunity to make a tangible impact in cutting-edge technology and analytics Join a thriving team that values innovation, inclusiveness, and collaboration. As a critical contributor to our Technology & Analytics Practice, you'll get to work on scalable data pipeline architectures and develop transformative solutions. This role offers the flexibility of working across PAN India, with remote or hybrid options available. Location PAN India (Remote/Hybrid Options Available) Your Future Employer A dynamic organization where innovation meets teamwork, and diversity fuels excellence. With a strong focus on technology and analytics, this company embraces a culture of inclusion, continuous learning, and best-in-class practices. Responsibilities Architect and optimize data pipelines to process large-scale datasets efficiently and securely. Leverage innovative solutions for improving scalability and reliability in data processing. Collaborate with cross-functional teams to transform business requirements into scalable technical solutions. Conduct data analysis and develop data models for analytics and operations. Maintain and monitor pipelines across cloud, on-premise, or hybrid environments. Implement data governance frameworks, ensuring accuracy, consistency, and quality. Create and maintain documentation for processes, pipelines, and architecture. Troubleshoot data-related issues to ensure smooth operational workflows. Stay abreast of emerging trends in data engineering and implement best practices. Mentor junior engineers, fostering a culture of continuous learning and inclusion. Requirements Required Skills & Experience 3-8 years of experience in data engineering or analytics roles, focusing on data pipeline development. Proficient in ETL development, with expertise in programming languages like Python, Java, or Scala. Practical knowledge of big data technologies like Hadoop, Apache Spark, or Kafka. Expert in SQL and managing relational/non-relational databases. Hands-on experience with cloud platforms such as AWS, Azure, or GCP, including engineering tools like Redshift, BigQuery, or Snowflake. Familiarity with data warehousing concepts and dimensional modeling. Strong analytical and problem-solving skills to work efficiently with large datasets. Preferred Skills Knowledge of machine learning pipelines and integration with workflows. Certifications in data engineering or cloud technologies. Data visualization experience using Tableau, Power BI, or similar tools. Exposure to CI/CD pipelines and DevOps principles. Educational Background A Bachelors or Masters degree in Computer Science, Data Analytics, Information Systems, or equivalent experience. Whats in it for you Opportunity to work with cutting-edge technologies and shape next-gen solutions. Flexible work environment with remote/hybrid options to suit your professional and personal needs. Collaborative culture emphasizing innovation, inclusiveness, and continuous learning. Supportive environment to mentor junior members and grow your leadership capabilities. Competitive compensation and opportunities for career progression. Reach us If you feel this opportunity is well-aligned with your career progression plans, please feel free to reach me with your updated profile at mini.dang@crescendogroup.in. Disclaimer Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging and memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Note We receive a lot of applications daily, so it becomes a bit difficult to get back to each candidate. Please assume that your profile has not been shortlisted if you don't hear back from us in 1 week. Your patience is highly appreciated. Profile Keywords Sr. Data Engineer, Data Engineer Jobs in India, Data Pipeline Development, Big Data Technologies, Hadoop, Apache Spark, Data Warehousing, AWS, Azure, GCP, Redshift, Python, SQL, Machine Learning Pipelines, Data Governance, Data Visualization, Senior Data Engineer Role. .