Lead Data Engineer (Remote - India) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Team Leadership, Cloud Platforms, Data Solutions, SQL, Java, Python, Scala, ETL, Data Integration, Workflow Orchestration, Spark, Kafka, Airflow, Databricks, AWS

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Data Engineer in India. In this role, you will lead a team of data engineers to design, develop, and deliver robust, scalable, and secure data solutions across modern cloud platforms. You will work closely with product and business teams to ensure that data pipelines, integration workflows, and analytics infrastructure meet performance, reliability, and compliance standards. This position combines hands-on technical expertise with team leadership, mentoring, and project oversight, enabling you to influence the data architecture and operational practices. You will help establish best practices for data engineering, drive innovation in workflows and automation, and contribute to the strategic roadmap of cloud and data platform initiatives. The role offers a dynamic environment where you can have a direct impact on delivering high-quality, production-ready data solutions while fostering a collaborative, high-performing team culture. Accountabilities Lead, mentor, and manage a team of data engineers, ensuring skill development, engagement, and effective project delivery. Design, implement, and optimize end-to-end data solutions, including pipelines, integrations, and cloud-based workflows across Snowflake, AWS, Azure, GCP, and Databricks. Ensure performance, scalability, security, and reliability of data solutions in production environments. Collaborate with cross-functional teams, including product managers, analysts, and architects, to translate business requirements into technical solutions. Oversee documentation, presentations, and solution designs, including POCs, roadmaps, sequence diagrams, and logical system views. Establish best practices for data engineering, automated pipelines, workflow orchestration, and data curation. 8+ years of hands-on experience as a Data Engineer, with proven ability to develop production-ready data solutions. Experience leading and mentoring other engineers, including performance management and career growth. Expertise in programming languages such as Java, Python, and/or Scala. Strong SQL skills with experience writing, debugging, and optimizing complex queries. Experience with cloud data platforms and storage solutions, including Snowflake, AWS, Azure, GCP, S3, ADLS, HDFS, Kudu, or NoSQL databases. Knowledge of data integration and ETL/ELT technologies, such as Spark, Kafka, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, or Azure DataFactory. Familiarity with workflow management and orchestration tools like Airflow, AWS Managed Airflow, Luigi, or NiFi. Strong client-facing communication skills, with experience delivering presentations and creating detailed technical documentation. Bachelor’s degree in Computer Science or a related field; advanced degrees preferred. Remote-first workplace with flexible working arrangements. Medical insurance for self, family, and parents. Term life and personal accident insurance. Wellness allowance and broadband reimbursement. Continuous learning and professional development, including paid certifications and allowances. Inclusive, diverse, and collaborative work environment that values innovation and growth. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. This process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company offering the position. The final decision and next steps (such as interviews or assessments) are made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Lead a team of data engineers to design and deliver scalable data solutions. Collaborate with cross-functional teams to ensure data pipelines meet performance and compliance standards.