LTIMindtree

Specialist - Data Engineering

LTIMindtree • $90K — $130K *
Irving, TX 75061In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data engineering with a focus on PySpark and Apache Spark.
  • Proficient in Python programming and the PySpark API for data transformations.
  • Strong knowledge of HiveQL and ANSI SQL with experience in schema management.
  • Experience with optimized big data storage formats such as Parquet, ORC, and Avro.
  • Hands-on development experience with major cloud services like AWS, Azure, or GCP.
  • Understanding of data warehousing concepts, including dimensional modeling and data lakes.

Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines using PySpark and Spark SQL.
  • Deploy and manage cloud-based data infrastructure on platforms such as AWS and Azure.
  • Optimize data storage through strategic layout and indexing in Apache Hive and data lakes.
  • Identify and resolve performance bottlenecks in Spark jobs using Spark UI.
  • Develop solutions for ingesting high-volume datasets from relational databases and flat files.
  • Implement automated workflows using tools like Apache Airflow for reliable data delivery.
  • Collaborate with data scientists and business analysts to translate business requirements into data solutions.

Benefits

  • Opportunity to work with cutting-edge technologies in a dynamic cloud environment.
  • Collaborative work culture with cross-functional teams.
  • Exposure to advanced analytics and business intelligence initiatives.
  • Professional development opportunities, including cloud certifications.
  • Flexible work arrangements in a progressive tech hub like Irving, Texas.
Full Job Description
Role description

Job Title: Pyspark Developer

Work Location : Irving, Texas

Job Summary
  • We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in designing building and optimizing our next generation scalable data pipelines This position requires expertise in processing massive datasets using cutting-edge technologies like Apache Spark PySpark and Hive within a dynamic cloud environment Your primary objective will be to ensure the utmost data reliability speed and efficiency providing a robust foundation for downstream business intelligence and advanced analytics initiatives
  • Key Responsibilities
  • Data Pipeline Development Maintenance Design build and maintain highly scalable and efficient ETLELT data pipelines utilizing PySpark and Spark SQL for complex data transformations
  • Cloud Data Infrastructure Management Deploy manage and scale critical data infrastructure components on leading cloud platforms such as Amazon Web Services AWS eg EMR Glue Microsoft Azure eg Databricks Synapse or Google Cloud Platform GCP
  • Data Warehousing Storage Optimization Strategically manage data layout partitioning and indexing within Apache Hive and various cloud data lake solutions to optimize performance and accessibility
  • Performance Tuning Optimization Proactively identify and resolve performance bottlenecks in Spark jobs leveraging Spark UI for indepth analysis effectively managing data skewness and optimizing memory utilization
  • Diverse Data Integration Develop robust solutions for ingesting highvolume and diverse datasets from both structured relational databases and unstructured flat files into our data ecosystem
  • Automated Workflow Orchestration Implement and manage automated data workflows using industrystandard scheduling tools like Apache Airflow or platformnative schedulers ensuring timely and reliable data delivery
  • Strategic Collaboration Partner closely with data scientists business analysts and crossfunctional enterprise teams to translate complex business requirements into technically sound and efficient data solutions
  • Required Core Technical Skills
  • Big Data Frameworks Expertise Demonstrated high proficiency in Apache Spark architecture including a deep understanding of drivers executors and Directed Acyclic Graphs DAGs
  • Advanced Programming Exceptional coding skills in Python and extensive experience with the PySpark API for developing intricate data transformations and processing logic
  • Querying Schema Management Strong command of HiveQL and ANSI SQL coupled with expertise in data partitioning techniques and effective schema definition
  • Optimized Storage Formats Indepth understanding and practical experience with optimized big data storage file formats such as Parquet ORC and Avro
  • Cloud Ecosystem Development Handson development experience utilizing cloudnative big data utilities eg AWS EMR Azure Databricks within major cloud platforms
  • Data Warehousing Fundamentals Solid foundation in Dimensional Data Modeling including Star and Snowflake schemas and practical experience with Data Lakes concepts and implementation
  • Preferred Qualifications
  • CICD DevOps Automation Experience with Continuous IntegrationContinuous Deployment CICD practices and automation tools like Git Jenkins or Ansible
  • NoSQL Database Integration Exposure to and experience with NoSQL databases such as HBase Cassandra or MongoDB
  • Professional Cloud Certifications Relevant professional cloud certifications eg AWS Certified Data Engineer Microsoft Certified Azure Data Engineer Associate are highly valued

About LTIMindtree

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across 30+ countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale.
Learn more about LTIMindtree
Industry
Information Technology
* Ladders Estimates

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