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Data engineer (big data/kafka) - remote/ contract/not for freelancers/independent contractors Job Opening In India, India – Now Hiring Dautom

Data engineer (big data/kafka) remote/ contract/not for freelancers/independent contractors

    India Jobs Expertini Expertini India Jobs Information Technology Data Engineer (Big Data/kafka) Remote/ Contract/not For Freelancers/independent Contractors

Job description

Job Description: Data Engineer (Big Data/Kafka) We are seeking a highly experienced Senior Data Engineer with a deep background in Big Data technologies to join our team.

This is a contract role for a major project in the Banking sector.Key Details:Role: Data EngineerIndustry: Banking (Financial Services)Work Location: Remote (India)Contract Duration: 6 months initial contract (with a strong likelihood of extension to long-term)Notice Period: 30 days or lessNote: This role is for professionals seeking a contract engagement, not for freelancers or independent contractors.Key Responsibilities:Technical Execution: Design, write, and tune complex data processing jobs using Java, Map Reduce, Hive, and Spark.Team Leadership & Management: Lead and mentor a team of data engineers (including full-time associates and vendor partners), ensuring project prioritization aligns with business needs.

Remain hands-on with code and architecture.Big Data Ecosystem Management: Work extensively across the Hadoop stack (HDFS, Pig, Hive, HBase, Flume, Sqoop) and No SQL stores (e.g., Cassandra).Data Modeling & BI: Design and build dimensional data models.

Manage the business intelligence function, developing high-quality dashboards using industry best practices.Data Integrity & Deployment: Analyze source data integrity and lead the deployment and auditing of data models and attributes for accuracy.Stream Processing: Develop and maintain solutions using stream-processing systems like Spark-Streaming.SQL & Performance Tuning: Demonstrate proficiency in writing and performance-tuning advanced SQL queries.Required Skills & Qualifications:Experience: 6-10+ years of proven experience as a Big Data Engineer.Big Data Frameworks: In-depth knowledge of Hadoop (Cloudera distribution preferred), Spark, and similar frameworks.Programming & Scripting: Strong expertise in Java.

Experience with object-oriented/object function scripting languages like Python and Scala.Querying Tools: Good knowledge of Big Data querying tools such as Pig, Hive, and Impala.Databases: Experience with both relational SQL (e.g., Postgres) and No SQL databases (e.g., Cassandra).Streaming Tech: Hands-on experience with stream-processing systems like Spark-Streaming or Storm.Data Modeling: Proven experience in designing and building dimensional data models.Leadership: Demonstrated experience leading a Backend/Distributed Data Systems team while remaining technically hands-on.Preferred Skills (Pluses):Experience with Azure cloud services.Knowledge of data science and machine learning tools and technologies.Experience in the Financial Services/Banking industry.Personal Attributes:Able to effectively plan, organize, and own deliverables.Strong interpersonal and communication skills.Ability to solve complex networking, data, and software issues.A collaborative team player who builds and maintains cooperative work relationships.

Required Skill Profession

Information Technology


  • Job Details

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