Data Engineer

6 hours ago

Delhi, India Dautom Full time

Data Engineer (Big Data, Hadoop, Spark)Location: Offshore - India (Remote)Contract Duration: 6 Months (Renewable)Client Industry: Banking/Financial ServicesEmployment Type: Contract (Payroll: Dautom IT Consultants LLC)Notice Period: 30 days or lessExperience: 6-10+ years of proven experience as a Big Data Engineer.Application Note:Independent contractors with their own firms are not encouraged to apply for this role.About the Role:We are seeking a highly experienced Senior Data Engineer with 7-10 years of deep expertise in the Big Data ecosystem. The ideal candidate will be a hands-on technical leader, proficient in designing, building, and tuning large-scale distributed data systems. This role involves leading a team of data engineers while owning key deliverables and ensuring the integrity and performance of our data platforms.Key Responsibilities:Technical Leadership & Hands-On Development:Lead and mentor a backend/distributed data systems team while remaining hands-on with code and architecture.Own end-to-end deliverables for the Big Data team from a delivery perspective.Write, tune, and optimize complex Java, MapReduce, Hive, and Spark jobs.Design and build scalable dimensional data models to improve data accessibility, efficiency, and quality.Big Data Engineering:Utilize the Hadoop stack extensively (HDFS, MapReduce, Pig, Hive, HBase, Flume, Sqoop).Develop and maintain solutions using NoSQL stores like Cassandra and HBase.Build and manage data pipelines using stream-processing frameworks such as Spark-Streaming.Data Management & BI:Manage the business intelligence team and vendor partners, prioritizing projects based on business needs.Develop high-quality dashboards using industry best practices.Analyze and confirm the integrity of source data.Lead the deployment and auditing of data models for accuracy.Team & Vendor Management:Manage a team of data engineers, including full-time associates and third-party resources.Foster a cooperative work environment and assist team members in achieving group goals.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.Big Data Tools: Proficiency with Big Data querying tools like Pig, Hive, and Impala.Programming Languages: Strong skills in Java and object-oriented/function scripting languages like Python or Scala.Database Expertise:Advanced SQL skills with expertise in performance tuning.Experience with relational SQL (e.g., Postgres) and NoSQL databases (e.g., Cassandra).Data Modeling: Experience in designing and building dimensional data models.Stream Processing: Hands-on experience with stream-processing systems (e.g., Spark-Streaming, Storm).Desired Skills (Pluses):Experience with Azure cloud services .Knowledge of the Banking/Financial Services industry.Familiarity with data science and machine learning tools and technologies.Knowledge of other scripting languages like C++, Linux, Ruby, PHP, or R.Personal Attributes:Excellent problem-solving skills for complex networking, data, and software issues.Ability to effectively plan, organize, and prioritize work.Strong interpersonal and communication skills.A collaborative team player who builds and maintains positive work relationships.

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