Ind IT Application Tech Lead

**JD – Data Engineering (ETL) Tech Lead** **Experience & Expectations :** * Leverage extensive experience (8 to 12 years overall ETL experience, including 2–3 years in a Technology Lead role & 4–6 years in AWS) to drive solution design and delivery. * We are seeking an experienced Tech Lead with strong expertise in Big Data (Spark, Cloudera). * Experience orchestrating complex workflows using AWS Step Functions (state machines) for reliable and scalable data pipelines. * Ability to design end-to-end serverless data architectures integrating Glue, Lambda, S3, and Redshift * Candidates with exposure to drive / assist in architecture, development, and delivery of AI-powered data workflows, leveraging agent-based systems to automate data ingestion, transformation, validation, and orchestration along with modern AI paradigms (Agentic AI, LLMs) to design and lead next-generation intelligent data platforms and ETL pipelines will be preferred. **Core Responsibilities :** * Lead and manage the development team by helping them understand the requirements and provide technical guidance * Design, build, and maintain high volume ETL/ELT pipelines across Hadoop (HDFS, Hive, Spark, Kafka) and AWS (Glue, EMR, Lambda, Step Functions, Redshift). * Develop distributed data processing solutions using PySpark, Spark SQL, and scalable cloud serverless patterns. * Implement reusable data ingestion frameworks for batch, ability to design & implement Orchestration process and Leverage AI * Optimize data workflows using partitioning, bucketing, compression, file formats (Parquet/ORC). * Understanding hybrid data lake architectures using S3 + HDFS, ensuring data governance and best practices are adheres * To lead technical teams and deliver complex projects in an Agile environment * Design and build the robust, scalable and secure software solutions across the having no/least adoption * Define clear technical specifications and make architecture decisions that align with business goals and long-term scalability. * Implement best practices (including secure code guidelines) through the implementation of unit tests, automation, leverage and code reviews. Drive continuous improvement in code quality and maintainability. * Troubleshooting issues and proactively solving problems as they arise, ensuring the smooth operation of full stack applications * Ability to understand the data flow diagram, data modelling and Lineages * Job orchestration using Airflow, Control M, Step Functions, or event-driven triggers. * Ensure data is protected and compliant with regulatory standards. * Work closely with business stakeholders to enable high quality datasets. * Provide technical support in architecture decisions, code reviews, and best practice adoption and provide technical guidance to peers/juniors in team. * Own deployment, incident response, and post-incident reviews for production environments, troubleshooting Spark performance issues, job failures, and cluster bottlenecks. * Optimize cost and usage of AWS resources and recommend architecture improvements. * Collaborate closely with developers, QA and cross product teams to streamline release processes. * Best Practices Advocacy: Advise teams on CI/CD pipelines, observability, security compliance, and modern development practices. * Collaborate with product managers and stakeholders to align technical roadmaps with business strategy * Expertise in architecture governance, security frameworks, and scalable system design across large organizations **Technical Skills :** * Strong experience with the **AWS data stack** (S3, Glue, EMR, Lambda, Kinesis, Redshift, Step Functions etc.,). * Strong hands-on expertise in Scala, **PySpark**, Spark optimization techniques, HiveQL, and distributed computing. * Good understanding of **Hadoop ecosystem** (HDFS, Hive, Spark, YARN, Kafka). * Good work experience in SQL in hive and impala * Proficiency in at least one scripting/programming language: **Python, Shell scripting**. * Strong experience with **CI/CD**, **GitHub, Git commands.** * Expertise in ETL and Data Warehousing and cloud concepts. * Good understanding of data modelling (star/snowflake), partitioning strategies, and schema evolution. * Expertise in data profiling and decision making. * Able to understand, design and create data flow diagrams and do data modelling. (knowledge of Miro will be added advantage) * Able to understand the architecture and design end-to-end data flow. * Hands-on experience with **Airflow, or Control‑M**, or other orchestrators. * To monitor and support BAU and year end activities, if needed. * Well versed with security and compliance aspects in Cloud. * Familiarity with serverless patterns and containerization (Docker, ECS/EKS). * Experience with monitoring/logging tools and incident management practices. **Other Requirements** * Strong logical and analytical, problem-solving, and communication skills. * Communicate effectively and concisely with multiple stakeholders and coordinate and collaborate with cross functional teams. * Ability to support both legacy Hadoop workloads and cloud-first architectures. * AWS certifications (Data Engineer, Solutions Architect, or Developer) are a plus. * Strong leadership and mentoring abilities * Detail-Oriented and proactive in problem-solving and issue resolution We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.   **DISCLAIMER:** Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units. .