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Urgent! Senior data engineer Job Opening In India, India – Now Hiring EClerx
Job Title: Senior Data Engineering Lead (Databricks) Next Step:If this role excites you and matches your expertise, kindly fill out the Google Form with the required details so we can reach out to you and make the process seamless: Wwc GUHf7rti Fa ARole Overview:We are seeking a highly experienced Senior Data Engineering Lead with a strong focus on Databricks and cloud-based data engineering to lead our data engineering team.
This leadership role requires a visionary who can design, develop, and manage scalable data infrastructure and pipelines, while mentoring and inspiring a team of data engineers.
You will work closely with cross-functional teams including data scientists, analysts, and software engineers to enable robust data-driven decision-making and support business goals.Key Responsibilities:Lead and manage a team of data engineers, providing mentorship, technical guidance, and fostering a culture of collaboration and innovation.Architect, design, and oversee implementation of large-scale data pipelines, data lakes, and cloud-based data warehouses using Databricks, Apache Spark, and Snowflake.Develop and optimize ETL/ELT workflows ensuring performance, reliability, and scalability of data infrastructure.Collaborate with business stakeholders, data scientists, and software teams to understand requirements and translate them into scalable, efficient data solutions.Implement best practices for data quality, governance, security, and compliance.Drive continuous improvement of data engineering processes, standards, and tools across the organization.Support presales activities by contributing to RFPs, technical proposals, and client engagements.Stay abreast of emerging data technologies and trends, recommending innovative solutions to enhance analytics capabilities.Manage resource planning, project prioritization, and delivery timelines ensuring alignment with business objectives.Lead performance reviews, identify skill gaps, and champion professional development within the data engineering team.Facilitate cross-team communication to streamline data workflows and improve overall delivery.Qualifications & Skills:Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related discipline.Minimum 18 years of professional experience in data engineering with at least 12 years in leadership or senior technical roles.Deep hands-on expertise with Databricks and Apache Spark for large-scale data processing.Strong programming skills in Python, Scala, or Java.Extensive experience with cloud data platforms such as AWS, Azure, or GCP, including services like S3, Redshift, Big Query, Snowflake.Solid understanding of data modeling, data warehousing, ETL/ELT design, and data lakes.Experience with big data technologies like Hadoop, Kafka, and Databricks ecosystem.Knowledge of CI/CD pipelines, data orchestration tools (e.g., Apache Airflow), and data governance best practices.Proven experience managing high-performing teams and delivering complex data engineering projects on time.Familiarity with analytics solutions and the ability to translate business needs into technical requirements.Strong communication skills, capable of engaging with both technical teams and senior leadership.Experience supporting presales efforts and client technical discussions is a plus.Bonus: Exposure to machine learning lifecycle and model deployment on Databricks.
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Unlock Your Senior data Potential: Insight & Career Growth Guide
Real-time Senior data Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior data in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 516232 jobs in India and 34358 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Senior data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! EClerx is currently hiring and seeking a Senior data engineer to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at EClerx adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior data engineer Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior data engineer typically include Architecture & Construction and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Senior data engineer interview at EClerx, research the company, understand the job requirements, and practice common interview questions.
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