Careers / Senior Data Engineer

Senior Data Engineer

We are looking for a Senior Data Engineer to build and optimize data pipelines, automate ETL workflows, and manage cloud-based data infrastructure. Responsibilities include real-time and batch data processing, database optimization, data governance, and compliance with security standards. Strong expertise in Python, Scala, SQL/NoSQL databases, cloud platforms (AWS/GCP/Azure), and big data frameworks (Spark, Kafka, Flink) is required. You will also collaborate with data scientists, analysts, and engineers to support scalable and high-performance data solutions.
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Overview

As a Senior Data Engineer, you will design, implement, and optimize scalable data pipelines and workflows for efficient data processing and storage. You will work on both batch and real-time data processing, ensuring high performance and data integrity. With expertise in cloud platforms and big data tools, you will help manage data infrastructure, improve data quality, and ensure compliance with governance and security standards.

This role also involves close collaboration with data scientists, analysts, and engineers to support data-driven initiatives.

Skill & Qualifications

•Data Engineering & ETL: ETL/ELT processes, Apache Airflow, dbt, Luigi, Prefect, Kafka, Spark, Flink

•Databases & Storage: SQL/NoSQL (PostgreSQL, MySQL, MongoDB, Cassandra), Snowflake, Redshift, Iceberg, Delta Lake, and Apache Hudi

•Programming & Cloud Platforms: Python, Scala, Java, AWS/GCP/Azure, Lambda, EMR, Dataproc, Docker, Kubernetes

•Big Data & Performance Optimization: Spark, Hadoop, Beam, query optimization, data modeling, data governance, GDPR, HIPAA

Role & Responsibilities

•Data Pipeline Development & Management: Design and optimize scalable data pipelines for efficient ingestion, transformation, and storage.

•ETL/ELT Workflow Automation: Develop and automate ETL workflows for high-performance data transformation.

•Database & Data Warehouse Management: Manage data models, schemas, and best practices for partitioning, indexing, and caching.

•Real-Time & Batch Data Processing: Build real-time data pipelines with Kafka, Spark, or Flink and optimize batch processing for efficiency.

•Cloud & Infrastructure Management: Deploy data infrastructure on cloud platforms and manage storage, security, and access controls.

•Data Quality & Governance: Implement data validation, monitoring, lineage tracking, and ensure compliance with privacy regulations.

•Collaboration & Documentation: Work with cross-functional teams to enable data-driven decisions and maintain clear documentation of pipelines and architecture.

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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:

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Competitive Salary: We offer competitive salaries to ensure that our team members feel valued and rewarded for their contributions.

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Flexible Work Arrangements: We understand the importance of work-life balance and offer flexible work arrangements to accommodate your needs.

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Employee Wellness Programs: Take advantage of employee wellness programs, including gym memberships, wellness workshops, and more.

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Collaborative Culture: Join a collaborative and supportive team environment where your ideas are valued and respected.









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    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)