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As a Lead Data Engineer, you will architect, build, and manage scalable data pipelines for real-time and batch processing. You will play a key role in optimizing data storage, improving query performance, and leading cloud migration efforts. Your expertise in ETL/ELT processes, data integration, and cloud platforms will help deliver reliable, high-performance data solutions.
Additionally, you will mentor and lead a team of data engineers while collaborating with cross-functional teams to enable data-driven decision-making.
•Data Engineering & ETL Pipelines: Expertise in ETL/ELT design and orchestration (Apache Airflow, dbt, Luigi, Informatica), real-time and batch processing (Kafka, Spark Streaming, Apache Flink).
•Database & Storage Technologies: Proficiency in SQL/NoSQL (PostgreSQL, MySQL, MongoDB, Cassandra), data warehousing and lakehouse solutions (Snowflake, BigQuery, Redshift, Azure Synapse, Delta Lake, Iceberg), query optimization, partitioning, and indexing.
•Cloud & Infrastructure: Strong experience with cloud platforms (AWS, GCP, Azure), serverless data pipelines (AWS Glue, Lambda, Databricks), containerization and orchestration (Docker, Kubernetes).
•Programming & Automation: Proficiency in Python, Scala, or Java, Infrastructure as Code (Terraform, CloudFormation, CDK), CI/CD pipelines for data applications (GitHub Actions, Jenkins).
•Data Governance & Security: Knowledge of data governance (DMBOK, DAMA), data security (GDPR, HIPAA, SOC 2), role-based access controls (RBAC), and audit logging.
•Data Infrastructure Development & Optimization: Architect and manage scalable data pipelines, ensuring performance, availability, and reliability.
•ETL/ELT & Data Integration: Design and implement efficient ETL/ELT workflows, automating data ingestion from multiple sources.
•Data Storage & Performance Optimization: Optimize data warehouses and lakehouses for high-performance analytics. Implement best practices for partitioning, indexing, and query optimization.
•Cloud & Big Data Platform Management: Lead cloud migration and modernization efforts, managing serverless and distributed computing frameworks for scalability.
•Data Governance & Compliance: Establish and enforce data governance policies, ensuring compliance with data security regulations and implementing data quality checks.
•Cross-Team Collaboration & Leadership: Collaborate with data scientists, analysts, and engineers to drive data-driven solutions. Mentor and lead a team of data engineers in best practices.
•Technology Evaluation & Innovation: Stay updated with emerging big data and cloud technologies and drive the adoption of modern data engineering tools and methodologies.
At Lektik, we believe in taking care of our team members and providing an environment where they can thrive both personally and professionally. Here are some of the perks you'll enjoy as part of our team:
Competitive Salary: We offer competitive salaries to ensure that our team members feel valued and rewarded for their contributions.
Flexible Work Arrangements: We understand the importance of work-life balance and offer flexible work arrangements to accommodate your needs.
Employee Wellness Programs: Take advantage of employee wellness programs, including gym memberships, wellness workshops, and more.
Collaborative Culture: Join a collaborative and supportive team environment where your ideas are valued and respected.
Working at Lektik has been an incredible journey filled with growth, collaboration, and meaningful experiences. The innovative culture here fosters an environment where ideas are not only welcomed but celebrated, empowering each of us to push the boundaries of what's possible. The sense of camaraderie among the team is palpable, and it's inspiring to see how everyone comes together to tackle challenges and achieve shared goals.
Emily Smith
Marketing Specialist (Digital)
